AGRICULTURE RELATED TOPICS Volume-III-Print.pdf · The Cadre and Recruitment Rules of Directorate of Economics & Statistics provide ... As such the topics such as the Statistical

Master Training Manual

VOLUME-III

AGRICULTURE RELATED TOPICS

Published by: Publication, Training and Co-ordination Division

Directorate of Economics & Statistics Government of Karnataka, Bengaluru

Directorate of Economics and Statistics

i

FOREWORD

I am glad that the Directorate of Economics & Statistics is bringing out a

Comprehensive Training Manual in four volumes for the professional development of its

officers. The DES is a major technical department of the Government, providing statistical

information for policy formulation and developmental planning. Appropriate training for

personnel at various levels is critical for better performance. I am happy to learn that DES

has brought out a Training Policy and a comprehensive manual to support the policy.

I hope that this Training Manual prepared in the backdrop of the department’s

Training Policy will meet long term training needs and be of use to the trainers as well as

trainees, and that as a consequence, the output of work by the Departmental officials/officers

will be better in all respects.

I would like to appreciate the Director, Directorate of Economics and Statistics and

his team of officers/retired officers involved in this important endeavour. I wish the

Directorate all the best in its future endeavours.

Place: Bengaluru (Uma Mahadevan)

Date: 03.03.2016 Secretary to Government,

Planning, Programme Monitoring

and Statistics Department

ii

iii

PRELUDE

It gives me an immense pleasure to note that Directorate of Economics & Statistics is

bringing out a Comprehensive Training Manual for the use of officials and officers of the

Department. The Manual is the outcome of the coveted and concerted efforts of the officers

of DES, both retired as well as those who are in service. The Training Manual is well

conceived. It has been brought out in four volumes, covering General topics, Statistics

related topics, Agriculture related topics and topics related to State Income, Industries,

Prices and Publications.

I consider Training Manual as an important tool for upscaling the technical skills of

the departmental staff as well as officers. It acts as a guide to resource persons.

I sincerely thank all the officers associated in this task for their excellent contribution.

I wish the Directorate will make use of these Training Manuals as a source of information for

the various Training programmes, which will be conducted by the department in days to

come.

I thanks the Directorate for its valuable contribution.

Place: Bengaluru (RAJIV RANJAN, IFS)

Date: 23.02.2016 Secretary to Government,

Planning, Programme Monitoring

and Statistics Departments

iv

v

PREFACE

The Directorate of Economics and Statistics is a major technical department catering

to the data needs of various departments. The key functions of the department include

collection, scrutiny, compilation and publication of various reports. This process require

technically competent personnel at various levels, who require knowledge and skill

development. This was felt by Karnataka Statistical System Development Agency and it

proposed to Governing council in 27.09.2013 to bring up a training manual for Directorate of

Economics and Statistics.

In this Direction, Directorate of Economics & Statistics has brought out a Training

Policy vide order No.PD/104/SMC/2014, Bangalore, Dated 10.06.2014, in which Induction

Training, Career Advancement Training, Refresher Training, Training outside the State and

Foreign Trainings have been suggested. To cater to the needs of the above Training

Programmes, it was felt that a Comprehensive Training Manual need be meticulously

prepared.

Accordingly a two day Training Needs Assessment Workshop was conducted at the

Fiscal Policy Institute, Bangalore, in the last week of August 2014, where in cadre wise

training needs of the officials/officers were identified. Subsequently to prepare it, knowledge

and experience of few retired officers as well as in service officers has been utilised.

The retired officers namely Sri. H.S.Nagaraj and Sri. G.Prakasam, Retired Directors,

Sri.G.N.Gopal Krishna, Sri. D.Jayaram, Sri.Keshava and Sri.Rangaswamy Retired Joint

Directors, Sri. K.Prabhakar, Sri. T.V.Sharma, Sri. K.Jayaram, and Sri.L.S.Srinivasamurthy,

Retired Deputy Directors have contributed a lot in drafting the Training Manual. The draft

chapters prepared by different contributors were thoroughly scrutinized by an editorial team

constituted for the purpose. I would be failing in my duty if do not record my reverence and

appreciation of the Editorial Team consisting of Sri.G.Prakasam, Sri.K.Prabhakar,

Sri.T.V.Sharma and Sri.K.Jayaram who despite their advanced age and personal

obligations, ceaselessly put in their experience and knowledge almost continuously for three

months to give shape to the Training Manual. It is no exaggeration to say that their

dedication and involvement in this ardous task was exhilarating.

Sri. K.V.Raghurama Reddy, Joint Director, PTC Division and his staff took utmost

interest in organising various workshops and meetings in connection with preparation of the

manual in a time bound manner, as a result of which this voluminous work has been

produced. I express my sincere thanks to all of them.

The Joint Directors of the different Technical Divisions in the Directorate, the Joint

Director (Admin) and the Project Director, Karnataka Statistical System Development

vi

Agency have extended their support by providing necessary inputs to the Experts in

finalising this product. I thank each one of them for their valuable and timely contribution.

I am of the firm opinion that this Training Manual will go a long way in meeting the

Technical Training Needs of the different cadres of officials/officers. This could be a granary

of information available at one source, fulfilling the long cherished desire of Directorate. The

manual if effectively used would definitely enhance the technical skills and competence of

our officials/officers at all cadres as well as those working at sub-district level as

Enumerators and Statistical Inspectors.

I sincerely thank all other officers and officials involved either directly or indirectly in

bringing out this long lasting useful publication.

Suggestions for the improvement of this Training Manual are always welcome.

Place: Bengaluru (K.V. Subramanyam)

Date: 09.03.2016 Director

vii

AN OVER VIEW OF THE TRAINING MANUAL

The Training Manual is designed to cater to the Technical Training Needs of the

officials/officers working in various divisions of Directorate of Economics & Statistics, at

District Statistical Offices and at Taluk offices.

The Cadre and Recruitment Rules of Directorate of Economics & Statistics provide

for direct recruitment as well as for promotion. The post of enumerator is filled through direct

recruitment, Statistical Inspector, Assistant Statistical Officer and Assistant Directors posts

are filled up partially through direct recruitment and partially through promotions. The posts

of Deputy Director, Joint Director, Additional Director and Director are filled only by

promotion. It is therefore desirable to have a comprehensive Training Manual for DES, which

caters to the training needs of different Cadres of officials/officers and hence this manual is

prepared.

The Training Manual is so designed that it meets the requirements of various

trainings envisaged in the Training Policy of Directorate of Economics and Statistics,

approved by the Government of Karnataka, vide Government order No. PD/104/SMC/2014,

Bangalore, Dated 10.06.2014. This Policy stipulates the Training programmes such as

Induction Training, Career Advancement Training, Refresher Training, training outside the

State and Foreign Trainings.

While preparing the Training Manual, the writers have referred to the available

literature in the Department, have got certain inputs from the respective Divisions of DES.

For the topics which are of general in nature and which are not division specific, the writers

have referred to the concerned Departmental websites for necessary information. I would

therefore like to express my sincere thanks to all those Departments who have made their

valuable information available on public domain.

The training requirements of Enumerators and Statistical Inspectors are assumed to

be more or less similar. As such the topics such as the Statistical System in India, Role of

Statistics in Administration, Maintenance of Departmental Statistics, Preparation of Statistical

Tables, Methods of Data Collection, Sample and Sample Surveys, Elements of Basic

Economics, Basic Statistics, Basic Mathematics, National Classification of Occupations,

Population Census, Economic Census, Livestock Census, Integrated Sample Survey-

Livestock, Minor Irrigation Census, Road Traffic Census, Employment and Unemployment

Survey, All India School Education Survey, National Family Health Survey, Sample

Registration Scheme (SRS), National Sample Survey (NSS), National Buildings

Organisation (NBO), Rainfall Statistics & Weather and Crop Report, Agriculture Census,

Timely Reporting Scheme (TRS), Crop Estimation Survey of Fruits & Vegetables, General

Crop Estimation Survey (CES), Crop Insurance Scheme (CIS),Annual season and crop

viii

statistics (ASCR), Annual Survey of Industries, Index of Industrial Production, Prices

Statistics, Working Class Family Income Expenditure Survey, Agriculture Wages and

Publications may be considered for imparting training to Enumerators and Statistical

Inspectors.

The cadres of Assistant Statistical Officers and Assistant Director as they assume

higher responsibilities, their technical skills and knowledge need to be upscaled. Hence,

some more topics in addition to those suggested for Enumerators and Statistical Inspectors

may be considered for Assistant Statistical Officers and Assistant Director training, as such,

the topics such as United Nations Statistics Division , Indian Statistical Institute (ISI),

Reserve Bank of India, Editing and Scrutiny of Data, Index Numbers – Theory, Noting and

Drafting, Report Writing, Poverty in India, Industrial and Product Classification, Vital

Statistics, Demographic Measures & Life Tables, Population Estimates and Projections,

Advance Estimates (Crop forecast), Index Numbers of Crop Production, Scheme for

Improvement of Crop Statistics and National / Regional Accounts Statistics may be

included. For Deputy Directors and above, the Training Manual may be referred as a guide

within which the relevant topics may be chosen and handpicked for the training process,

keeping in view the cadre of officers for whom the training is to be imparted.

The Training Manual is brought out in 4 volumes, the First volume covers the

General Topics, Second volume covers Statistics related topics, Third volume covers

Agriculture related topics and the Fourth volume covers State Income, Industries, Prices,

Role of Departmental Publications. Each volume wise content details are provided to

facilitate the readers. The annexures incorporating technical procedures and illustrative

tables are given at the end of the respective topics.

This Training Manual serves as the master guide to Resource Persons. They need to

know target group to whom they have to impart the training, can effectively decide upon the

content and quantum of information required for each of the cadre and customise the topic

wise contents accordingly.

I am deeply indebted to my Director, Sri.K.V.Subramanyam, who gave me a free

hand in this herculean task.

My thanks are due to the Editorial Team for their marvellous contribution and to the

staff of PTC Division for their unstinted support.

Place: Bengaluru (K.V.Raghurama Reddy)

Date: 09.03.2016 Joint Director,

PTC Division

ix

EDITORIAL TEAM ASSOCIATED WITH THE PUBLICATION

� Sri. K.V.Subramanyam, Director, DES Chief Editor

� Sri. G.Praksham, Director ( Retd), DES Editor

� Sri. T.V.Sharma, Deputy Director (Retd), DES Member

� Sri. K.Jayaram, Deputy Director (Retd), DES Member

� Sri. K.Prabhakar, Deputy Director (Retd), DES Member

� Sri. K.V.Raghuram Reddy, Joint Director, DES

Member Secretary

TEAM ASSOCIATED WITH THE PUBLICATION

� Sri. K.V.Raghuram Reddy Joint Director

� Smt. Manjula.A Assistant Director

� Sri. M.Mahadeva Assistant Statistical Officer

� Sri. D.K.Somashekar Statistical Inspector

� Sri. N.R.Siddaraju Statistical Inspector

� Sri. H.K.Deepak Statistical Inspector

� Smt. Shobha.H Typist

x

xi

CONTENTS IN VOLUME – I

Sl.

No. Subject

Page

No.

A Basic Subjects 1-28

1 Elements of Basic Economics 1-8

2 Elements of Basic Statistics 9-16

3 Elements of Basic Mathematics 17-20

4 Index Numbers - Theory 21-28

B Major International/National Institutions 29-79

5 United Nations Statistics Division 29-32

6 Indian Statistical Institute (ISI) 33-36

7 Indian Agricultural Statistics Research Institute (IASRI) 37-44

8 National Council for Applied Economic Research (NCAER) 45-48

9 National Institute of Public Finance and Policy (NIPFP) 49-52

10 Reserve Bank of India (RBI) 53-67

11 National Buildings Organisation (NBO) 68-79

C General Topics 80-149

12 Results Frame Work Document 80-95

13 National Industrial Classification 96-109

14 National Classification of Occupations 110-118

15 Poverty in India 119-132

16 Noting and Drafting 133-137

17 Report Writing 138-139

18 Preparation of Annual Administration Report 140-146

19 Preparation of a Project Report 147-149

D Collection of Statistics Act, 2008 & Rules 2011 150-230

xii

xiii

CONTENTS IN VOLUME-II

Sl.

No. Subject

Page

No.

A Statistics Related Topics 1-82

1 The Statistical System in India 1-45

2 Role of Statistics in Administration 46-49

3 Maintenance of Departmental Statistics 50-52

4 Preparation of Statistical Tables 53-73

5 Methods of Data Collection 74-75

6 Sampling & Sample Surveys 76-79

7 Editing and Scrutiny of Data 80-82

B Census & Surveys 83-163

8 Population Census 83-96

9 Economic Census 97-104

10 Livestock Census 105-113

11 Integrated Sample Survey –Major Livestock Products 114-117

12 Minor Irrigation Census 118-128

13 Road Traffic Census 129-137

14 Employment & Unemployment Survey 138-152

15 All India School Education Survey 153-157

16 National Family Health Survey 158-163

C Civil Registration, National Sample Survey & Loca l Bodies

Statistics (CNL) Division 164-287

17 Vital Statistics 164-229

18 Sample Registration Scheme (SRS) 230-239

19 Demographic Measures & Life Tables 240-249

20 Population Estimates and Projections 250-257

21 National Sample Survey (NSS) 258-287

xiv

xv

CONTENTS IN VOLUME-III

Sl.

No. Subject

Page

No.

A Agricultural Census, Rainfall & Computer (ARC) D ivision 1-48

1 Rainfall Statistics 1-25

2 Agriculture Census 26-39

3 Input survey/ Sample check 40-48

B Agricultural Statistics (AGS) Division 49-220

4 Advance Estimates (Crop forecast) 49-51

5 Fully Revised Estimates 52-54

6 Annual Season and Crop Report (ASCR) 55-132

7 Timely Reporting Scheme (TRS) 133-143

8 Scheme for Improvement of Crop Statistics 144-179

9 Crop Estimation Survey of Fruits & Vegetables 180-213

10 Index Numbers of Crop Production 214-220

C Crop Insurance Statistics (CIS) Division 221-298

11 General Crop Estimation Survey (CES) 221-263

12 Crop Insurance Scheme (CIS) 264-298

xvi

xvii

CONTENTS IN VOLUME-IV

Sl.

No. Subject Page No.

A State Income, Industries & Prices (SIP) Division 1-172

1 Annual Survey of Industries 1-11

2 Index of Industrial Production 12-24

3 Prices Statistics 25-32

4 Working Class Family Income & Expenditure Survey 33-35

5 Agriculture Wages 36-37

6 National / Regional Accounts Statistics 38-159

7 Economic-Cum-Purpose Classification of State Government Budget 160-172

B Publication, Training & Co-ordination (PTC) Divis ion 173-207

8 DES Publications 173-184

9 Training Policy for DES 185-203

10 Training activities of DES 204-206

11 Co-ordination Activities of DES 207-207

C Karnataka State Statistical Development Agency 208-214

12 Karnataka State Strategic Statistical Plan (KSSSP) 208-214

xviii

1. RAINFALL STATISTICS & WEATHER AND CROP REPORT

annād bhavanti bhūtāni

parjanyād anna sambhavaḥ

yajħād bhavati parjanyo

yajħaḥ karma samudbhavaḥ

(Living beings are created and find their source in food, food is created by rainfall. Parjanya

gives us the material blessings of rainfall and thus abundance in the material world by the

creation of food and other crops) Reference : Bhagavad-Gita Chapter 3 verse 14

Introduction:

In general, precipitation refers to all forms of water that reaches the earth from the

atmosphere namely rain, snow, drizzle, hail etc. Measuring rainfall forms a very important

input for the economic planning of the country. There is a whole lot of scientific work and

periodical maintenance that goes into making this activity. Rainfall measurement and its

data are the main input for all agricultural operations and development, water supply, power

generation, and domestic purpose.

Objective:

Rainfall data helps in formulating effective remedial measures at the appropriate time

and in reducing loss and human sufferings. It also helps in assessing ground water

recharge and variations in water table in different parts of the state. Karnataka State has

only 33% of land under irrigation facilities and remaining 67% land are rainfed. Hence rainfall

data plays crucial role in respect of all living beings nature.

Installation of New Rain Gauge Stations:

Proposals for installation of new rain gauges in the State have to be submitted in the

prescribed format to the District Statistical Officer, who scrutinizes the application with site

plan, place of rain gauge station to be installed. The application then will be forwarded to

IMD for approval. After the approval and registration of rain gauge by IMD, rain gauge has to

be installation on following lines:

1. Concrete foundation 60 cms x 60 cms x 60 cms should be constructed,

2. Base of rain gauge cemented such that rim is to be above 30 cms from the

ground level, it prevents rain water from splashing into the gauge,

3. Fiber Reinforced Plastic (FRP) rain gauge type consists of Receiver, Collector

with funnel and Rim.

Wherever automatic rain gauges are installed, one ordinary rain gauge will be

installed. Advantage of automatic rain gauge is that it provides measurement at any point of

time in 24 hours. Ordinary rain gauge provides measurement of rainfall at one specified time

in 24 hours.

2

Area Coverage of Rain Gauge Station:

One rain gauge covers 500 square kilometers or about 12 to 13 kms in plain areas

and 200 square kilometers or about 9 kms in hilly areas. One (1) cm of rainfall received

mean, rainfall around the rain gauge of specified radius got one (1) cm of rainfall.

Rainfall Registration Authority:

Director, Directorate of Economics & Statistics is the Rainfall Registration Authority

for Karnataka as per the manual of Indian Meteorological Department, Govt. of India. The

functions of the Directorate is to collect rainfall data from all the IMD registered rain gauges

daily, monthly, annually from the 176 taluks of the State, Compile and send the analyzed

report to the concerned. In Karnataka, totally there are were 1298 rain gauges as on

31-12-2014, out of which 1168 are were working, these are maintained by the following

agencies Water Resources and Development Organization (WRDO), Agriculture Department

(Agr), Railways (Rail), Indian Meteorological Department (IMD), Forest Department (For),

Sericulture Department (Ser), Others (Oth).

Types of Rain Gauges:

There are two types of rain gauges. They are,

1) Ordinary or Manual Rain Gauge 2) Automatic Rain Gauge.

Ordinary or manual rain gauge provides measurement of rainfall at one specified

time in 24 hours. Automatic rain gauge provides measurement at any point of time in

24 hours.

Rain Gauge Inspections:

Annual inspection of rain gauges is done by the District Statistical Officer and his

staff. They guide in solving and improving physical problems of rain gauges.

Rainfall Zones:

State has been divided into 10 rainfall zones as shown below:

1. North Eastern Zone ( 7 taluks)

2. North Eastern Dry Zone (11 taluks)

3. Northern Dry Zone (35 taluks)

4. Central Dry Zone (17 taluks)

5. Eastern Dry Zone (25 taluks)

6. Southern Dry Zone (19 taluks)

7. South Transitional Zone (13 taluks)

8. North Transitional Zone (14 taluks)

9. Hilly Zone (22 taluks)

10. Coastal Zone (13 taluks)

3

Monsoon Periods:

Monsoon has been categorized as follows:

1st June to 30th September has been labelled as South-West monsoon period,

1st October to 31st December as North-East monsoon period and 1st January to 31st May as

Pre monsoon period.

Periodicity of Collection of Rainfall Data:

Rainfall data is collected daily from 1st June to 31st December. From 1st January to

31st May rainfall data is collected on the rainy days only. These data is collected from all the

176 taluk head quarter’s rain gauges.

Procedure of Recording Rainfall and Data Flow:

Second Division Assistant cadre officials are the rain recorder and record rainfall at

8.30 am every day and enter the data into the register maintained by him. He should send

rainfall recorded data to the concerned Tahsildar, Asst. Executive Engineer (WRDO),

Deputy Commissioner of the District, District Statistical Officer, Joint Director of Agriculture

of the District, Asst. Directors of Agriculture and Horticulture of the taluk, on only rainy days

during 1st January to 31st May and on all days during 1st June to 31st December.

Rain recorders submit daily rainfall report from rain gauge site to DES by telephones/

mobile/SMS. From taluk office data is sent to DSO through SMS/email. DSO should

consolidate district report based on all taluks reports and sent to DES in the prescribe format

through email, on monthly/annual basis.

Preparation of Various Reports:

During 1st June to 31st December period, DES compiles data daily for 176 taluks and

brings out Daily Rainfall Report. The monthly rainfall data received from Tahasildars and

DSOs will be updated and reports sent to all the concerned.

DES also brings out South-West Monsoon Report in November every year and

North -East Monsoon Report in February. Annual Rainfall Report is prepared every year for

all the working rain gauge stations with comparison to normal rainfall in the state. This

report comprises following 10 tables and is brought out in March of every year.

1. Rain gauge station wise monthly rainfall and rainy days.

2. Rain gauge station wise seasonal rainfall and rainy days.

3. Rain gauge station wise highest rainfall recorded in 24 hours during year.

4. Taluk wise monthly average rainfall in a year.

5. Taluk wise season average rainfall in a year

6. District wise monthly average rainfall in a year.

7. District wise season average rainfall in a year.

4

8. Comparative statement of district wise annual rainfall for present and previous

years.

9. Agency wise maintenance of rain gauges in Karnataka.

10. District wise rain gauge stations in Karnataka for every year.

The district-wise analysis of this type provide good analytical result in non-uniform

distribution of rainfall.

For hydrological analysis, it is necessary to adopt a suitable method to compute the

applicable rainfall by considering all the rain gauge stations of the catchment area. For

computation of applicable rainfall, important methods being followed are ‘Arithmetic Mean

Method’ and ‘Theissen Polygon Method’.

Theissen Polygon Method is one of the interpolation methods with which an accurate

estimation of applicable rainfall is possible. This method assigns weight to each gauge

station in proportion to the catchment area and the area surrounding the gauge station. The

weighted rainfall can be obtained using equation Pw = {(p1 x a1) + (p2 x a2) + (p3 x a3) + . . . .

+ (pn x an)} /(a1+a2+….an)

Where, Pw is weighted rainfall, whereas a1, a2, a3,. . . . an are the catchment areas

influenced by rain gauge stations in the total catchment obtained from Theissen polygons

and p1, p2, p3, . . . . pn are the rainfall values of respective rain gauge stations.

Since this method provides a weighting factor for each gauge, gives good results

even for non-uniform distribution of rain gauges and also when there is a variation in

individual station rainfall values. The results obtained by the Theissen Polygon Method are

usually more accurate than those obtained by other methods.

Annexure (given at the end of the chapter) provide images of types of rain gauges,

explanations and terminologies used.

Periodicity of Reports : Monthly.

Tahsildar will send Monthly report by 5th of succeeding months to DSO. The DSO will

consolidate and sent it to DES. DES will consolidate and send the same to Government.

These reports are prepared as per the revenue manual.

At present these reports are prepared annually and published in ‘Annual Rainfall and

Weather & Crop Report’.

5

6

ANNEXURE (RAINFALL STATISTICS)

The following example illustrates model pictures of rain gauges, measuring jar,

fencing, exposure of rain gauge, automatic rain gauge. Average rainfall depth, The Theissen

polygon method.

7

8

Table 1 : Rate of Rainfall

Intensity Rate of Rainfall

Rain

a) Sight Not more than 0.5 mm/Hour

b) Moderate Between about 0.5 to 4.0 mm/hour

c) Heavy More than 4.0 mm/hour

Showers

a) Sight Not more than 2.0 mm/hour

b) Moderate Between about 2.0 to 10.0 mm/hour

c) Heavy Between about 10.0 to 50.0 mm/hour

d) Violent More than 50.0 mm/hour

Drizzle

a) Sight Trace

b) Moderate Trace

c) Heavy Up to 1.0 mm/hour

Table2: Rainfall Intensity based 24 hours accumul ated Rainfall

(Followed by India Meteorological Department from 31st May 2006)

24 hours accumulated Rainfall in mms/hour Intensity Description

0.00 No Rainfall

0.00 to 2.4 mm Very Light

2.5 to 7.5 mm Light

7.6 to 35.5 mm Moderate

35.6 mm to 64.4 mm Rather Heavy

64.5 mm to 124.4 Heavy

124.5 mm to 244.4 mm Very Heavy

More than 244.5 and above Extremely Heavy

9

Automatic Rain Gauge System

An Automatic Rain Gauge Station (ARG) is defined as a “meteorological stations at

which observations are made and transmitted automatically”. It consists of Rainfall Sensor

but in addition it has also Air Temperature and Relative Humidity Sensor at 500 places. The

ARG system includes a data logger, UHF transmitter, sensor, crossed Yagi antenna, GPS

antenna, NEMA 4 standard enclosure, 10 m tower and12V/65 AH SMF battery float charged

through a 30 W solar panel. Sensor is interfaced to all automatic rain gauge stations is

Tipping Bucket Rain Gauge (TBRG)-Rainfall sensor. In addition to rainfall sensor, 500 ARG

are equipped with sensor for Air Temperature and Relative Humidity.

The ARG network consists of three components viz.,

(1) Remote station

(2) Telemetry system

(3) Data Receiving Earth Station.

Remote station and receiving Earth Station are commercially procured modules and

telemetry system is made available by Indian Space Research Organization (ISRO).

Mechanical drum recording

raingauge

Pen attached to float Rotating drum with paper chart Water collection cylinder

Siphon tube

Collecting can

10

Average Rainfall Depth

The time of rainfall record can vary and may typically range from 1 minute to 1 day

for non – recording gauges, Recording gauges, on the other hand, continuously record the

rainfall and may do so from 1 day 1 week, depending on the make of instrument. For any

time duration, the average depth of rainfall falling over a catchment can be found by the

following three methods.

• The Arithmetic Mean Method

• The Thiessen Polygon Method

Arithmetic Mean Method

The simplest of all is the Arithmetic Mean Method, which taken an average of all the

rainfall depths as shown in Figure 2.

Average

Average rainfall as the arithmetic mean of all the records of the four rain gauges, as

shown below:

= (15 + 12 + 5 + 8)/4

= 10.00 mm

The Theissen Polygon Method

This method, first proposed by Thiessen in 1911, considers the representative area

for each rain gauge. These could also be thought of as the areas of influence of each rain

gauge, as shown in Figure 3.

11

These areas are found out using a method consisting of the following three steps:

1. Joining the rain gauge station locations by straight lines to form triangles

2. Bisecting the edges of the triangles to form the so-called “Thiessen polygons”

3. Calculate the area enclosed around each rain gauge station bounded by the

polygon edges (and the catchment boundary, wherever appropriate) to find the

area of influence corresponding to the rain gauge.

For the given example, the “weighted” average rainfall over the catchment is

determined as,

= (65 x 15 + 70 x 12 + 35 x 8 + 80 x 8)/(65+70+35+80)

= 10.94 mm

Rainfall Terminology

Normal Rainfall for day, month, year has been computed for taluk, district, state

earlier for 1901-1950, now it has been revised and computed for 1951-2000.

Rainy Day: Rain fall measures with 2.5 millimeters above has been considered as

One Rainy Day.

Terminology and glossary

Synoptic Systems

Type of System Description

Cyclonic Circulation cyclic

Atmospheric wind flow in upper levels associated with any

low pressure system. The wind flow is counter clockwise in

the Northern Hemisphere and clock wise in the Southern

Hemisphere

12


Anticyclonic circulation Atmospheric wind flow in upper levels associated with any

high pressure system. The wind flow is clockwise in the

Northern Hemisphere and counter clockwise in the Southern

Hemisphere

Low pressure Area

(LOPAR)/WELL MARKED)

Area in the atmosphere in which the pressures are lower

than those of the surrounding region at the same level and is

represented on a synoptic chart by a system of one closed

isobar (wind speed on the surface < 17 Knots (Kts) when the

system is at sea or one closed isobar in the radius of 3 Deg.

from the centre over land).

Depression Intense low pressure system represented on a synoptic chart

by two or three closed isobars at 2 hPa interval and wind

speed from 17 to 27 Kts at sea and two closed isobars in the

radius of 3 Deg. from the centre over land

Deep Depression Intense low pressure system represented on a synoptic chart

by two or three closed isobars at 2 hPa interval and wind

speed from 28 to 33 Kts at sea and three to four closed

isobars in the radius of 3 Deg. from the centre over land.

Cyclonic Storm Intense low pressure system represented on a synoptic

chart by more than four closed isobars at 2 hPa interval and

in which the wind speed on surface level is in between

34 – 47 Kts.

Severe Cyclonic Storm Intense low pressure system represented on a synoptic



48 – 63 Kts

Very Severe Cyclonic Storm

Intense low pressure system represented on a synoptic



64 – 119 Kts.

Super cyclonic storm

Intense low pressure system represented on a synoptic chart

by more than four closed isobars at 2 hPa interval and in

which the wind speed on surface level is 120 Kts. and above.

Western Disturbance

Weather disturbances noticed as cyclonic circulation/ trough

in the mid and lower tropospheric levels or as a low pressure

area on the surface, which occur in middle latitude westerlies

and originate over the Mediterranean Sea, Caspian Sea and

Black Sea and move eastwards across north India.

13


Western Depression

Weather system which originate over the Mediterranean

Sea, Caspian Sea and Black Sea and approach northwest

India and is defined by two or more closed isobars on the

surface.

Induced low

Under the influence of the western disturbance, sometimes a

low is developed to the south of the system called as

induced low

Induced cyclonic circulation

Under the influence of the western disturbance, sometimes a

cyclonic circulation is developed to the south of the system

called as induced cyclonic circulation.

Trough

A line or curve along which the atmospheric pressure is

minimum. Pressure increases on both sides of the line or

curve.

Trough in westerlies

A moving wave perturbation in mid latitude regions which are

present throughout the year which move from west to east

and entire globe. These systems generally affect the

northern parts of India.

Trough in easterlies A moving wave perturbation in the equatorial easterly wave,

moving from east to west.

Easterly Waves A shallow trough disturbance in the easterly current of the

tropics, more in evidence in the upper level winds than in

surface pressure, whose passage westwards is followed by a

marked intensification of cloudy, showery weather.

The southern peninsular region is affected by easterly

waves.

Shear line

A line or narrow zone across which there is an abrupt

change in the horizontal wind component; a line of maximum

horizontal wind shear

Ridge

An elongated area of relatively high atmospheric pressure

almost always associated with and most clearly identified as

an area of maximum anti cyclonic curvature of wind flow.

Wind-discontinuity A line across which there is an abrupt change in wind

direction An atmospheric layer in which all significant

weather phenomena occur.

Troposphere The troposphere is characterized by decreasing temperature

with height

Lower troposphere level Part of the troposphere up to 2.1 km above mean Sea level

(a.s.l)

14


Middle troposphere level

Part of the troposphere from 2.1 km a.s.l. but below 7.6 km

a.s.l

Upper troposphere level Part of the troposphere from 7.6 km a.s.l to a height upto

which temperature decreases with height

Forecast

Types of Forecast Description

Now casting A short range forecast having a lead time/validity of less

than 24 hrs

Short range forecasts Forecasts having a lead time / validity period of 1 to 3 days

Medium range forecasts Forecasts having a lead time /validity period of 4 to 10 days

Long range / Extended

Range forecasts

Forecasts having a lead time /validity period beyond 10 days.

Usually this is being issued for a season. IMD issues Long

Range Forecast for South-west Monsoon rainfall and onset

date for Kerala, Northeast Monsoon Rainfall and Winter

precipitation over Northwest India.

Local Forecast In local forecast, whenever any weather phenomenon is

expected, its intensity, frequency and time of occurrence is

indicated. In the absence of a weather phenomenon, the

local forecast describes anticipated sky conditions. The other

parameters for which the local forecast issued include

maximum temperature and/or minimum temperature, rainfall,

wind and special phenomenon. It is valid for a radius of

50 km around the station and is updated 4 times in a day.

Seasons

Season Months

Winter January- February

Pre Monsoon March to May

South West Monsoon June to September

North East Monsoon October to December

Sky Condition

Reported in terms of Octa where in the sky is divided into 8 equal parts

Clear Sky O Octa of Sky Covered

Mainly Clear 1-2 Octa of Sky Covered

Partially Cloudy 3-4 Octa of Sky Covered

Generally Cloudy 5-7 Octa of Sky Covered

Cloudy � 7 Octa of Sky Covered

15


Weather Phenomena

Types Description

One or two spells of rain In a 24 hrs time, rainfall occurring with a frequency of

1-2 spells.

A few spells of rain In a 24 hrs time, rainfall occurring with a frequency of more

than 2 spells but with well defined dry spells in between.

Intermittent rain In a 24 hrs time, rainfall occurring with a frequency more than

that defined in “A Few Spells” but is discontinuous and

without presenting the character of a shower

Drizzle Liquid precipitation in the form of water drops of very small

size (by convention, with radius of water drops between

about 100 and 500 µm).

Rain Liquid precipitation in the form of water drops of radius

between about 500 and 2500 µm.

Shower Solid or liquid precipitation from a vertically developed cloud

is designated a shower and is distinguished from the

precipitation, intermittent or continuous, from layer clouds.

Showers are often characterized by short duration and rapid

fluctuations of intensity (by convention, with radius of water

drops more than 2500 µm).

Hail Solid precipitation in the form of balls or pieces of ice

(hailstones) with diameters ranging from 5 to 50 mm or even

more.

Thunderstorm One or more sudden electrical discharges manifested by a

flash of light (Lightning) and a sharp rumbling sound

(thunder).

Dust storm An ensemble of particles of dust or sand energetically lifted

to great heights by a strong and turbulent wind Surface

visibility is reduced to low limits; the qualification for a

synoptic report is visibility below 1000 m.

Mist Mist is a phenomenon of small droplets suspended in air

Dew Condensation of water vapour on a surface whose

temperature is reduced by radiational cooling to below the

DEW-POINT of the air in contact with it

Fog Fog is a phenomenon of small droplets suspended in air and

the visibility is one kilometer or less

Frost Frost occurs when the temperature of the air in contact with

the ground, or at thermometer-screen level, is below the

16


freezing-point of water (‘ground frost’ or ‘air frost’,

respectively). The term is also used of the icy deposits which

may form on the ground and on objects in such temperature

conditions (glaze, hoar-frost).

Haze Haze is traditionally an atmospheric phenomenon where

dust, smoke and other dry particles obscure the clarity of the

sky.

Smog Smoke and fog together reduce the visibility

Squally weather Squally weather is meant to cover occasional or frequent

squalls with rain or persistent type of strong gusty winds

(mean wind speed not less than 20 knot) accompanied by

rain. Such conditions are associated with low pressure

systems or onset and strengthening of monsoon.

Visibility The greatest distance that prominent object can be seen and

identified by unaided, normal eyes.

The latest practices of distribution of rainfall followed are summarized below:

Spatial Distribution of Rainfall

Distribution No. of Places Description

Isolated One or two Places <25% of stations gets rainfall

Scattered At a few Places (26–50)% of stations gets rainfall

Fairly Widespread At many Places (51–75)% of stations gets rainfall

Wide spread At Most place (76–100)% of stations gets rainfall

Dry - No station reported rainfall

Temperature

Description of 24 hrs temperature changes.

Maximum temperature

(a) When the normal maximum temperature of a station is 40º C or below.

Nomenclature Past 24 hours change

Little Change -1ºC to 1º C

Rise 2º C

Appreciable rise 3º C to 4º C

Marked Rise 5º C to 6º C

Large Rise 7º C or more

17

(b) When the normal maximum temperature of a station is more than 40º C.


Little Change -1ºC to 1º C

Rise 2º C

Marked Rise 3º C to 4º C

Large Rise 5º C or more

Minimum temperature

(a) When the normal minimum temperature of a station is 10º C or more.


Little Change 1ºC to -1º C

Fall -2º C

Appreciable Fall -3º C to -4º C

Marked Fall -5º C to -6º C

Large Fall -7º C or less

(b) When the normal minimum temperature of a station is less than 10º C.


Little Change 1ºC to -1º C

Fall -2º C

Marked Fall -3º C to -4º C

Large Fall -5º C or less

Criteria for Heat Wave

Heat wave need not be considered till maximum temperature of a station reaches at

least 40º C for Plains and at least 30º C for Hilly regions.

a) When normal maximum temperature of a station is les s than or equal to 40 º C

Heat Wave Departure from normal is 5º C to 6º C

Severe Heat Wave Departure from normal is 7º C or more

b) When normal maximum temperature of a station is mor e than 40 º C

Heat Wave Departure from normal is 4º C to 5º C

Severe Heat Wave Departure from normal is 6º C or more

18

c) When actual maximum temperature remains 45 ºC or more irrespective of normal

maximum temperature, heat wave should be declared.

Hot Day

In the northern plains of the country, dust in suspension occurs in many years for

several days, bringing minimum temperature much higher than normal and keeping the

maximum temperature around or slightly above normal. Sometimes increase in humidity also

adds to this discomfort. Nights do not get cooled and become uncomfortable.

To cover this situation, hot day concept has been introduced as given below:

Whenever, the maximum temperature remains 40ºC or more and minimum

temperature is 5º C or more above normal, it may be defined as Hot Day, provided it is not

satisfying the heat wave criteria given above.

Criteria for describing Hot Day for coastal station s

When maximum temperature departure is 5º C or more from normal, Hot Day may be

described irrespective of the threshold value of 40º C. If the threshold value of 40º C is

reached Heat Wave may be declared. When a station satisfies both the Heat Wave and Hot

Day criteria, then Heat Wave should be given higher priority and be declared.

Hot Wind

Hot wind reduces moisture causing dehydration and a prolonged exposure may

prove to be fatal. The phenomena of Loo over the plains of northwest India is very well

known. It is also described in the Weather bulletins and appropriate warnings are being

issued at present. The present practice should continue.

Criteria for Cold Wave

Wind chill factor plays an important role and brings down the actual minimum

temperature depending upon the wind speed. The actual minimum temperature of a station

should be reduced to “wind chill effective minimum temperature (WCTn)” based on wind chill

factor using the enclosed table Enclosure I, WMO No. 331/ Tech note No. 123 on “The

assessment of human bio-climate. A limited review of physical parameters, 1972). For

declaring “Cold Wave” and “Cold Day” WCTn should only be used.

If WCTn is 10°C or less, then only the conditions f or cold wave should be considered.

a) When normal minimum temperature is equal to 10°C or more.

Cold Wave Departure from normal is -5°C to -6°C.

Severe Cold Wave Departure from normal is -7°C or l ess

b) When normal minimum temperature is less than 10° C.

Cold Wave Departure from normal is -4°C to -5°C.

Severe Cold Wave Departure from normal is -6°C or l ess.

19

When WCTn is 0°C or less, Cold Wave should be decla red irrespective of normal

minimum temperature of the station. However, this criteria is not applicable for those stations

whose normal minimum temperature is below 0°C.

Cold Wave conditions for coastal stations:

For coastal stations the threshold value of minimum temperature of 10ºC is rarely

reached. However, the local people feel discomfort due to wind chill factor which reduces the

minimum temperature by a few degrees depending upon the wind speed. The “Cold Day”

concept may be used following the criteria given below:

Criteria for describing “Cold Day” for coastal stat ions:

i) Actual minimum temperature of a station be reduced to WCTn.

ii) This WCTn should be used to declare “Cold Wave” or “Cold Day”.

iii) When minimum temperature departure is -5ºC or less over a station, “Cold Day”

may be described irrespective of threshold value of 10ºC.

iv) However, when a threshold of 10ºC is reached “Cold Wave” be declared.

v) When a station satisfies both the Cold Wave and Cold Day criteria, then Cold

Wave has a higher priority and has to be declared.

Heat wave/ Cold Wave and hot Day/ Cold Day are area specific phenomena.

Therefore they may be described for a Met. Sub-division or a part thereof, when at

least two stations satisfy the criteria

Winds

Wind Atmospheric motion characterized by direction and speed. The direction of the

wind is the direction from which the wind approaches the station (Example Northerly wind –

Wind approaching the station from North)

Gales A gale is a very strong wind (34 to 47 knots).

Squall A sudden increase of wind speed by at least 3 stages on the Beaufort Scale,

the speed rising to force 6 or more, and lasting for at least one minute is called a squall.

Gust A rapid increase in the strength of the wind relative to the mean strength at the

time.

Monsoon:

"MONSOON" has originated from the Arabic word “MAUSIM” which means season.

It is most often applied to the seasonal reversals of the wind direction along the shores of the

Indian Ocean, especially in the Arabian Sea, that blow from the southwest during one half of

the year and from the northeast during the other.

20

Onset & Advance of Monsoon:

The guidelines to be followed for declaring the onset of monsoon over Kerala and its

further advance over the country are enlisted below:

Onset over Kerala:

a) Rainfall:

If after 10th May, 60% of the available 14 stations enlisted*, viz. Minicoy, Amini,

Thiruvananthapuram, Punalur, Kollam, Allapuzha, Kottayam, Kochi, Thrissur, Kozhikode,

Thalassery, Kannur, Kasargode and Mangalore report rainfall of 2.5 mm or more for two

consecutive days, the onset over Kerala be declared on the 2nd day, provided the following

criteria are also in concurrence.

b) Wind field”:

Depth of westerlies should be maintained upto 600 hPa, in the box equator to

Lat. 10ºN and Long. 55ºE to 80ºE. The zonal wind speed over the area bounded by

Lat. 5-10ºN, Long. 70-80ºE should be of the order of 15 – 20 Kts. at 925 hPa. The source of

data can be RSMC wind analysis/satellite derived winds.

Outgoing Longwave Radiation (OLR):

INSAT derived OLR value should be below 200 wm-2 in the box confined by

Lat. 5-10ºN and Long. 70-75ºE.

Further Advance of Monsoon over the Country:

a) Further advance be declared based on the occurrence of rainfall over

parts/sectors of the sub-divisions and maintaining the spatial continuity of the northern limit

of monsoon, further advance be declared.

The following auxiliary features may also be looked into:

b) Along the west coast, position of maximum cloud zone, as inferred from the

satellite imageries may be taken into account.

c) The satellite water vapour imageries may be monitored to assess the extent of

moisture incursion.

Northern Limit of Monsoon (NLM):

Southwest monsoon normally sets in over Kerala around 1st June. It advances

northwards, usually in surges, and covers the entire country around 15th July. The NLM is

the northern most limit of monsoon up to which it has advanced on any given day.

Withdrawal of SW Monsoon:

a) Withdrawal from extreme north-western parts of the country should not be

attempted before 1st September.

21

b) After 1st September:

The following major synoptic features should be considered for the first withdrawal

from the western parts of NW India.

i) Cessation of rainfall activity over the area for continuous 5 days.

ii) Establishment of anticyclone in the lower troposphere (850 hPa and below)

iii) Considerable reduction in moisture content as inferred from satellite water vapour

imageries and tephigrams.

Further Withdrawal from the Country:

i) Further withdrawal from the country may be declared, keeping the spatial

continuity, reduction in moisture as seen in the water vapour imageries and

prevalence of dry weather for 5 days.

ii) SW monsoon should be withdrawn from the southern peninsula and hence from

the entire country only after 1st October, when the circulation pattern indicates a

change over from the southwesterly wind regime.

Commencement of NE monsoon rains:

i) Withdrawal of SW monsoon upto Lat. 15ºN.

ii) Onset of persistent surface easterlies over Tamil Nadu coast.

iii) Depth of easterlies upto 850 hPa over Tamil Nadu coast.

iv) Fairly widespread rainfall over coastal Tamil Nadu, south coastal Andhra Pradesh

and adjoining areas.

Criteria for Declaring Onset of Northeast Monsoon:

For declaring onset of Northeast Monsoon following criteria may be considered:

(1) Withdrawal of south west Monsoon upto 15º N.

(2) Onset of persistent surface easterlies over Tamil Nadu coast.

(3) Depth of easterlies upto 850 hpa over Tamil Nadu coast.

(4) Fairly widespread rainfall over the coastal Tamil Nadu and adjoining areas.

(5) Onset is not to be declared before 10th October even, if the conditions described

above exist.

Specifications for activity/ strength of Northeast Monsoon:

Weak Monsoon:

Rainfall less than half the normal.

22

Normal Monsoon:

Rainfall half to less than one and a half (1½) times the normal.

Active Monsoon:

i) Rainfall 1½ to 4 times the normal.

ii) Rainfall in atleast two stations should be 3 cm in Coastal Tamil Nadu and south

coastal Andhra Pradesh and 2 cm elsewhere.

Iii) Rainfall in that sub-division should be fairly widespread or widespread.

Vigorous Monsoon:

i) Rainfall exceeding 4 times the normal.

ii) Rainfall in atleast two stations should be 5 cm in Coastal Tamil Nadu and south

coastal Andhra Pradesh and 3 cm elsewhere.

iii) Rainfall in that sub-division should be fairly widespread or widespread.

Strength of Southwest Monsoon:

Descriptive term over the Sea:

Wind speed (in knots) reported or inferred to be existing.

Weak monsoon Upto 12 knots

Moderate monsoon 13 to 22 knots

Strong monsoon 23 to 32 knots

Vigorous monsoon 33 knots and above.

Descriptive term over land area

Weak monsoon:

Rainfall less than half of the normal.

Normal monsoon:

Rainfall half to less than 1½ times the normal (mention of ‘normal’ monsoon may not

be necessary in general).

Active/ strong monsoon:

i) Rainfall 1 ½ to 4 times the normal.

ii) The rainfall in at least two stations should be 5 cm, if that sub-division is along the

west coast and 3 cm, if it is elsewhere.

iii) Rainfall in that sub-division should be fairly widespread to widespread.

23

Vigorous monsoon:

i) Rainfall more than 4 times the normal.

ii) The rainfall in at least two stations should be 8 cm if the sub-division is along the

west coast and 5 cm if it is elsewhere.

iii) Rainfall in that sub-division should be fairly widespread or widespread

While describing the activity of the monsoon:

i) The normals of stations, when ever available should be used.

ii) Till normals for all the stations are available the following procedure should be

adopted:

Number of stations in a sub-division with normals a

Normal for these stations b

Average normal for the sub-division b/a

Total number of stations reporting rainfall c

Actual total rainfall reported by these stations d

Therefore, the average rainfall for the sub-division d/c

Compare d/c with b/a and describe the activity of the monsoon accordingly, other

conditions being fulfilled.

3. i) In the sub-divisions, where the percentage of hill stations is high, the hill stations

must be also taken into account for describing the activity of the monsoon. In other

sub-divisions, the hill stations will be excluded.

ii) The monsoon activity will be described in all the sub-divisions of northeast India as

is done for sub-divisions of other regions.

iii) The monsoon activity need not be described over the Bay Islands and the Arabian

Sea Islands.

Subdued Monsoon activity:

Whenever, a country wide dry spell continues for more than 3 days and is expected

to continue for atleast 2 more days, the description of monsoon should be given as ‘weak or

subdued monsoon for the country as a whole. RC level bulletins may also include this

information.

2. Information on prolonged dry spells/ subdued activity over the met. subdivisions

also should be included in the RMC/ MC level bulletins if such a spell is persisting for 2 or

more days and is expected to continue.

24

3. Monsoon activity for a sub-division might be considered subdued if the rainfall

realised is less than ½ the normal.

Nomenclature for different parts of the day:

Early hours of (date) 0000 – 0400 hrs, IST

Early morning 0400 – 0600 hrs. IST

Morning 0400 – 0800 hrs. IST

Forenoon 0800 – 1200 hrs. IST

Around noon 1100 – 1300 hrs. IST

Afternoon 1200 – 1600 hrs. IST

Evening 1600 – 2000 hrs. IST

Night 2000 – 2400 hrs. IST

Terminology used for state of Sea

Descriptive term Height in Metres Wind speed in knots

(kmph) Beaufort scale

Calm ( glassy) 0 0 0

Calm (rippled) 0 -0.1 1 -3 ( 2 -6) 1

Smooth (waveless) 0.1 -0.5 4 -10 ( 7 -19 ) 2 -3

Slight 0.5 -1.25 11 -16 (20 -30 ) 4

Moderate 1.25 -2.5 17 -21 ( 31 -39) 5

Rough 2.5 -4.0 22 -27 (41 -50) 6

Very rough 4.0 -6.0 28 -33 (52 -61) 7

High 6.0 -9.0 34 -40 (63 -74) 8

Very high 9.0 -14.0 41 -63 (76 -117) 9 -11

Phenomenal Over 14 64 or above 12

(119 or above)

DVORAK TECHNIQUE

The Dvorak technique is a method using enhanced Infrared and/or visible satellite

imagery to quantitatively estimate the intensity of a tropical system. Cloud patterns in

satellite imagery normally show an indication of cyclogenesis before the storm reaches

tropical storm intensity. Indications of continued development and/or weakening can also be

found in the cloud features. Using these features, the pattern formed by the clouds of a

tropical cyclone, expected systematic development, and a series of rules, an intensity

analysis and forecast can be made. This information is then standardized into an intensity

code.

25

Classification of Cyclonic Storm

T. Number / C.I. Number

Classification of cyclonic disturbance

Wind speed in

knots

Wind speed in

kmph

∆ p Wind

criteria in knots

Wind criteria in

kmph

T1.0 L <17 <31

T1.5 D 25 46.3 17-27 31-49

T2.0 DD 30 55.6 4.5 28-33 50-61

T2.5 CS 35 64.9 6.1 34-47 62-88

T3.0 45 83.4 10.0

T3.5 SCS 55 101.9 15.0 48-63 89-117

T4.0 VSCS 65 120.5 20.9 64-119 119-221

T4.5 77 142.7 29.4

T5.0 90 166.8 40.2

T5.5 102 189.0 51.6

T6.0 115 213.1 65.6

T6.5 SuCS 127 235.4 80.0 120 and

above

222 and

above

T7.0 140 259.5 97.2

T7.5 155 287.3 119.1

T8.0 170 315.1 143.3

“T”

26

2. AGRICULTURAL CENSUS

1. Introduction:

Periodic Agricultural Censuses are the principal sources of information on number

and area of operational holdings, basic characteristics of holdings such as land use,

cropping patterns, irrigation status, tenancy, terms of leasing and dispersal of holdings.

This Census also provides data on input use pattern for different size classes of farmers.

The Census is carried out in three distinct phases with reference year as the Agriculture

Year, starting from July and ending next June. This Census is being conducted once in

5 years. Before the commencement of the Agriculture Census, the reference year is

declared as ‘Land Records Year’ in order to update all the land records by the Revenue

authorities. India has two types of States i.e., one States with Land Records and another

States without Land Records. Karnataka is a Land Record State.

In the two Agricultural Censuses of 1950 and 1960, data required for the World

Agricultural Census were collected through sample surveys carried out by the erstwhile

Directorate of National Sample Survey (now called National Sample Survey Office) which

produced estimates for the country as a whole and also for States.

Beginning with 1970-71 census, the methodology adopted was “complete

enumeration” wherein data available in the land records were re-tabulated in line with the

method recommended by the Food and Agriculture Organization (FAO). In the States, where

comprehensive land records were not maintained, the data were collected through sample

surveys after categorizing them as non-land record states.

Consequent on changes taking place in the Indian agriculture at a very fast pace, the

National Commission on Agriculture, in their report submitted in 1976, recommended that

Agricultural Census be conducted on quinquennial basis. Accordingly, the Second

Agricultural Census was conducted with 1976-77 as the reference year. In this Census,

information on number and area of operational holdings was collected on complete

enumeration basis in land-record States but detailed information on characteristics of

operational holdings was collected on a sample basis. An Input Survey, in a sample of

2% villages, was also carried out for the first time. In this survey, data relating to use of

various inputs such as fertilizers, manures, livestock, agricultural implements & machinery

and agricultural credit provided by various credit institutions to different categories of

operational holdings were also collected.

The Third and Fourth Agricultural Censuses were carried out with the Agricultural

Year 1980-81 and 1985-86 as the reference periods respectively. However, commencing

with the Input Survey of 1991-92, the sample size has been raised to 7% villages in each

stratum. So far, nine Agriculture Censuses with reference years 1970-71, 1976-77, 1980-81,

1985-86, 1990-91, 1995-96, 2000-01, 2005-06 and 2010-11 have been conducted.

27

2. Objective:

To have information by operational holdings for implementation of the agricultural

development programmes.

3. Organization of Agricultural Census:

At the national level, the Agricultural Census Division in the Department of

Agriculture & Cooperation, Union Ministry of Agriculture is the authority for conducting

Agriculture Census. As per Constitutional provision, statistical surveys and inquiries fall in

the Concurrent List and hence the Government of India is responsible for preparation of an

all-India census program keeping in view the diverse systems of maintenance of land

records, which is a State subject. The plan of the Census is designed keeping as target, high

quality data, following at each and every step, rigorous procedures and standards. The role

of Government of India includes preparation of plan of Agricultural Census of the country,

provide funding and technical assistance to the States for undertaking Censuses, process

the data and bring out all-India results etc. In view of the organizational advantage in

administration and mobilization of manpower, the responsibility for execution of the Census

has been entrusted to the States with technical support by the Centre. This approach has

been found cost-effective and largely successful, keeping in view the diversity in the

land-record systems followed in different parts of the country.

In Karnataka, the Directorate of Economics & Statistics is the authority participating

in the conduct of the Census by virtue of which the Director, DES is the State Agricultural

Census Commissioner.

4. Methodology:

While the system of agricultural statistics that was in vogue in India even before

independence provided for aggregates at various geographical levels, data on structure of

holdings was not classified and tabulated. As early as 1830, the Famine Inquiry Committee

stressed the need for adequate statistics of land holdings. Again, the Famine Inquiry

Commission of 1945 tried to gauge the relationship between the land tenure systems and

efficiency of agricultural production. But the Commission was handicapped in this regard due

to non-availability of data and made a number of recommendations for improvement of

agricultural statistics.

In the context of the strategy deployed for agricultural development after

independence, knowledge of the detailed structure and characteristics of agricultural

holdings became essential for efficient planning and implementation of programmes. For this

purpose, it became imperative to have information by operational holdings as distinct from

ownership holdings. Information by ownership holding, though useful to gain an idea of the

distribution of wealth, information by operational holdings is more important for

implementation of the agricultural development programmes. It is the operational holder who

takes the decisions. An operational holding defined as “all land which is used wholly or partly

28

for agricultural production and operated as one technical unit by one person alone or with

others without regard to title, legal form, size or location” and is taken as statistical unit for

data collection. A technical unit is defined as the unit which is under the same management

and has the same means of production such as labour force, machinery and animals etc.

Agricultural production includes growing different crops, fruits, seeds, tree nurseries (except

those of forest trees), vegetables and flowers, plantation crops, fodder and grass etc. Grass

is also treated as a crop, if special efforts are made to raise it.

The concept of agricultural operational holdings adopted in India differs to some

extent with that of FAO, as it does not include those holdings which are not operating any

agricultural land and are engaged exclusively in livestock, poultry and fishing etc.

5. Phases of Data Collection:

In States, where comprehensive land records exist (Land Record States), the

Agriculture Census data on number and area of operational holdings is collected in two

phases viz., Phase-I & Phase-II and compiled through re-tabulation of information available

in the Village Land Records popularly known as Khasra (RTC-Pahani). For other States

(Non-Land Record States), this data is collected on sample basis. In Phase-I , data on

primary characteristics like number of operational holdings and area operated by different

size class (marginal, small, semi-medium, medium and large), social groups (SC, ST,

Others), gender (male/female), types of holding (individual, joint and institutional), etc., are

collected. This operation covers all villages in land record States and 20 per cent of the

villages in non-land record States.

During Phase-II , holding schedule is canvassed in only the selected 20 percent of

villages in each taluk, for collecting detailed data on irrigation status, tenancy particulars,

cropping pattern and dispersal of holdings, etc. The estimates of agricultural characteristics

of operational holdings are prepared at Taluk/District/State/National levels.

In Phase-III , an ‘Input Survey’ , which is a follow up survey to the Agriculture Census

with reference year next to that of the Agriculture Census year, data on input use pattern of

operational holdings in the country is collected. The input covers fertilizer, irrigation, seed,

pest management, agriculture credit, size of the household, age and educational level of the

holders and multiple cropping across various crops, States and size group of holders. This

survey is conducted in 7% of villages selected in each taluk and estimate for input

characteristics is prepared at District / State / National level. Institutional holdings and

holdings operated by persons not residing in the village are excluded from the orbit of the

survey.

6. Data Collection Schedules:

The instruments for collection of data, in each census are specific to that and are

based on the objectives and coverage. For the Agricultural Census of 2010-11 following

5 different types of Schedules were designed:

29

Schedule L-1: For the preparation of the list of operation holders residing & operating

within the village and outside the same taluk.

Schedule L-2: For the preparation of the list of non-resident operation holders

operating within the sample village.

Schedule L-3: For the preparation of village summary for the purpose of tallying the

figures of the operational holdings at village level and also other basic infrastructure facilities

in the villages are compiled (for the second time since the inception of the Agriculture

Census).

Schedule T-1: This is the main schedule, in which the number and area of

operational holdings according to sex, major size classes, social groups and types of

holdings are computed.

Schedule H : Details of operational holdings like land utilisation, sources of irrigation,

types of crops grown etc., are collected on sampling basis viz., by selecting 20 percent of

Timely Reporting Scheme (TRS) villages.

7. Fieldwork and Supervision:

The fieldwork of the Census is carried out by the Village Accountants (Patwaris) of

the Revenue Department and is supervised by the Revenue Inspectors, Deputy Tahasildars,

Tahasildars, Assistant Commissioners and Deputy Commissioners. The Enumerators,

Statistical Inspectors, Assistant Statistical Officers, Assistant Director and District Statistical

Officers of the Directorate of Economics & Statistics also regularly monitor and supervise the

field work besides scrutinizing the schedules to ensure the quality and consistency in data

collection.

8. Committees:

For effective monitoring and close supervision for the successful completion of the

Census, committees at the district and state level have been formed. At the district level,

District Level Committee under the Chairmanship of the Deputy Commissioner and at the

State level, Coordination Committee under the Chairmanship of the Principal Secretary to

Government of the Revenue Department are constituted till the entire operation of the

Census is completed.

9. Processing & Dissemination of Data:

On completion of field work, schedules are scrutinized and submitted for data entry.

Once this phase is over, raw data validated for generation of trial tables and these tables are

forwarded to States for scrutiny. After completion of validation of database, final output

tables are generated and results are released in the form of reports.

Starting with 1995-96, the database of Agriculture Census is fully computerised. For

wider dissemination of the information to general public, policy planners, researcher etc., the

results of Agriculture Census and Input Survey have been put-up on the department’s

30

website http://agcensus.nic.in .The data of Agricultural Census with reference years

1995-96, 2000-01, 2005-06 and 2010-11 and Input Survey with reference years 1996-97,

2001-02 and 2006-07 could be accessed on this website. All India Reports on Agriculture

Census and Input Survey, Schedules and Manual of Instructions of Agriculture Census and

Input Survey have also been hosted on the web.

ANNEXURE (AC)

CONCEPTS AND DEFINITIONS:

1. Operational Holding:

All land which is used wholly or partly for agricultural production and is operated as

one technical unit by one person alone or with others without regard to the title, legal form,

size or location.

2. Technical Unit:

A technical unit has been defined as that unit which is under the same management

and with the same means of production such as labour force, machinery and animals.

3. Agricultural Production:

Agricultural production includes growing of field crops, fruits, grapes, seeds, tree

nurseries(except those of afforest trees), vegetables and flowers, production of coffee, tea,

Cocoa, rubber, jute, oilseeds, fodder grass etc., Growing of Grass would be treated as a

crop if special efforts are made to raise it.

4. Operated Area:

Operated area would include both cultivated and uncultivated area, provided part of it

is put to agricultural production during the reference period. For instance, an operational

holding consists of four survey numbers, of which one survey number is put to

non-agricultural uses; the total area of the operational holding will be equal to the total

geographical area of all the four survey numbers.

It would also cover the land occupied by the farm buildings, including the house of

the holder, provided such buildings are within the cultivated area. If the farm buildings are

located outside the cultivated area and are covered under abadi area, such buildings would

not be included.

Operated area would exclude government forest land, government waste land,

village common grazing land, abadi area etc., Government waste land allotted to an

individual is included in the holding.

The entire area of a holding (the area of all the survey numbers of an operational

holding) put to non-agricultural use and/or is under old fallow, will not be considered as

31

operated area. Even the entire area of operational holding under current fallow during the

reference year, would still be considered an operational holding.

In some cases, land is divided amongst all the members of a family. If it is divided

between the husband, wife and minor children and husband as the head of the family is

doing the cultivation, the land may appropriately be treated as one operational holding.

There might be cases where in the records, a holding is shown jointly in the name of

more than one co-sharer while in fact the land may have been privately divided and the

co-sharers are independently cultivating. In such cases where there is no dispute, they

should be treated as many operational holdings as the number of independent cultivators.

The operated area may comprise of.

a) Land Owned and Self Operated:

Land for which the cultivator has the right to permanent heritable possession is

owned. This would include:

i) Land held from Government or others under grant or lease or assignment with right

of permanent heritable possession with or without right of transfer.

ii) Land operated under perpetual lease.

Self operated land would include,

i) Self cultivation.

ii) Land cultivated through members of the family.

iii) Land cultivated with the help of hired labour.

Land owned and self-operated should not include land leased out to others.

b) Area otherwise operated:

This would include encroachment land forcibly occupied, unauthorized or land in

dispute etc., which cannot be treated as owned as per the definitions given above.

5. Operational Holder:

An operational holder is the person who has the responsibility for the operation of an

agricultural holding and who exercises the technical initiative and is responsible for its

operation. He may have full economic responsibility or may share it with others. The

operational holder may be Individual/Joint/ Institutional.

a) Individual : A holding being operated either by one person alone or by a group of

persons who are members of the same household, is considered as an individual holding.

b) Joint : If two or more persons belonging to different households are partners in the

economic and technical responsibility for the operation of an agricultural holding, such

holding would be considered as joint.

32

c) Institutional : Holdings such as government farms, sugarcane factories, co-

operative farms, lands managed by trust would be treated as institutional.

Resident and non-resident operational holder:

All the cultivators residing in a particular village and cultivating some land are

resident cultivators of that village irrespective of whether they are cultivating land within that

village or outside. A resident cultivator may have (i) entire area of the holding located in the

village of his residence: (ii) partly within the village of residence and partly outside: and

(iii) entirely outside the village of residence.

An operational holder operating some area outside the tehsil in which he resides will

not be treated as a resident cultivator of the village in which resides for Agricultural Census

purpose but as a resident cultivator of the village in the tehsil where his operational area

falls.

If a cultivator who resides outside that village operates the area in a particular village,

he is a non-resident operational holder for that area. However, an operational holder who is

resident of a village lying outside the tehsil in which the holding is located will be treated as a

resident operational holder of the village where the area is located.

Complete/Part Holding:

A holding is said to be complete if its entire operated area is located in one village

and if it is spread over more than one village, it is called as part holding. Taluk would be

taken as the outer limit for consolidation of part holdings.

Wholly irrigated, partly irrigated and wholly un-ir rigated holdings:

If the entire net area sown in an operational holding is equal to net area irrigated,

such holding is considered as wholly irrigated holding. In case part of the net sown area is

irrigated, it will be partly irrigated and if the entire sown area has not received any irrigation

during the year of reference, such holding would be wholly un-irrigated.

6. Land Utilisation:

Operated area is classified into the following six broad categories:

i) Net area sown.

ii) Current fallows.

iii) Fallow land other than current fallows.

iv) Other uncultivated land excluding follow.

v) Cultivable waste; and

vi) Not available for cultivation.

33

a) Net area sown:

Total area sown with crops and orchards, counting only once, the area sown more

than once in the same year.

b) Current fallows:

Croppable areas kept fallow during the current year are current fallows. For example,

if any seedling area is not cropped in the same year, it may be treated as current fallow.

c) Fallow land other than current fallows:

All lands which are taken up for cultivation but are temporarily out of cultivation for a

period of not less than one year and not more than five years. The reasons for keeping such

lands fallow may be one or more of the following:

i) Poverty of the cultivator.

ii) Inadequate supply of water.

iii) Mal arial climate.

iv) Silting of canals and rivers and

v) Un-remunerative nature of farming.

d) Other Uncultivated land excluding fallow are giv en below:

i) Permanent pastures and other grazing lands :

All grazing lands, whether they are permanent pastures and meadows or not. Village

common grazing lands would, however, be excluded.

ii) Land under miscellaneous tree crops and groves not included in net area sown:

Cultivable land which is not included in the net area sown but is put to some

agricultural use. Land under casuarinas trees, thatching, grasses, bamboo bushes and other

groves for fuel which are not included under orchards would be covered under this category.

e) Cultivable waste:

All lands available for cultivation whether not taken up for cultivation or taken up for

cultivation once but not cultivated during the current year and the last five years or more in

succession, for one reason or the other. Such lands may be either wholly or partly covered

with shrubs and jungles which are not put to any use. Land once cultivated but not cultivated

for five years in succession would also be included.

f) Not available for cultivation:

This would include forest area, area put to non-agricultural use, barren and

uncultivable and.

34

g) Forest:

All lands classed as 'Forest' under any legal enactment dealing with forests or

administered as forests, whether State owned or private and whether wooded or maintained

as potential forest land.

The area of crops raised in the forest and grazing land or areas open for grazing

within the forests would be included under the forest area. Only private forest would be

covered for the purposes of Agricultural Census.

ii) Area put to Non-Agricultural use:

All lands occupied by buildings and other lands put to use other than agriculture.

Such lands within the cultivated holding should be covered in the Census.

iii) Barren and uncultivable Land:

All barren and uncultivated land within the cultivated holding.

METHODOLOGY:

The data on land use, cropping pattern both in irrigated and un-irrigated areas, area

under different source of irrigation and dispersal of operated area for all social groups,

Scheduled castes and Scheduled tribes for the year 2010-11(July 2010 - June 2011) were

collected through re-tabulation of data from village records in respect of a 20 % sample of

villages which were selected under timely reporting scheme.

SIZE CLASSES OF HOLDINGS:

Data relating to number and area of operational holdings is presented in the following

ten size-classes and five broad size-groups of operational holdings:

• Marginal Holdings (in hectares): (1) Below 0.5 (2) 0.5 –0.99

• Small holdings (in hectares): (3) 1.0 –1.99

• Semi-medium holdings (in hectares): (4) 2.0.-2.99 (5) 3.0 –3.99

• Medium holdings (in hectares): (6) 4.0 –4.99 (7) 5.0 –7.49 (8) 7.5 –9.99

• Large holdings (in hectares): (9) 10.0 –19.99 (10) 20.0 and above

ESTIMATION PROCEDURE:

The primary characteristics were estimated by ‘Ratio Method’by using number of

holdings/operated area in the relevant size class. The formula used for the calculations of

above estimates is given below:

35

n ∑ yi(k) i=1 YR (k) = --------------- x X(k)

k ∑ xi(k) i=1

where, YR (k) = estimate of charector,

yi(k) = itis the sum total of the values of the charectorstics under study for all holdings

belonging to kth size class in the h village in the sample,

xi(k) = auxilary variate i.e., total number of operational holdings/operated area (as the case

may be) in the kth size class in h village in the sample,

X(k) = total number of operational holdings/operated area in the kth size class in the

stratum (as available from Table-1 which contains the number and area of the

operational holdings by different size classes on the basis of complete enumeration

of all villages ),

N = number of villages in the stratum(taluk),

n = number of villages selected in the stratum.

HIGHLIGHTS OF THE LATEST AGRICULTURAL CENSUS, 2010- 11:

• Agricultural Census, 2010-11 is the 9th in the series, where in, for the first time

the distribution of number of operational holdings and area operated are collected

separately for male and female.

• The total number of operational holdings in the State is 78.32 lakhs as per

2010-11 Agricultural Census compared to 75.81 lakhs of previous census

2005-06, registered an increase of 3.3 per cent.

• Out of 78.32 lakhs holdings, the male dominated holdings are 63.33 lakhs

accounting for 80.86 per cent, while, the female accounted for 14.86 lakh

holdings (18.97 per cent) and the remaining 0.13 lakh holdings are owned by

institutions, which account for a mere 0.19 percent.

• Among the five major size classes of holdings, the marginal holdings (less than

1 hectare) account for a maximum share of 49.1 percent of the total number of

holdings, followed by small holdings (1 to 2 hectares) 27.3 per cent, semi-medium

holdings (2 to 4 hectares) 16.2 percent, medium holdings (4 to 10 hectares)

6.5 per cent and large holdings (10 hectares & above) 0.9 per cent, being the

least.

36

• The total area operated under all operational holdings in the current census is

found to be 121.62 lakh hectares, a marginal decrease by 1.8 per cent compared

to 123.85 lakh hectares during the previous census 2005-06.

• The area operated by male operational holders is 101.90 lakh hectares, which

constitute 83.78 per cent of the total area operated, while the area operated by

female operational holders is 18.92 lakh hectares, constituting 15.61 per cent and

the remaining 0.74 lakh hectare, operated by institutional holdings, constitute just

0.61 per cent.

• As regards the area operated by different size classes of holdings, semi-medium

size class holdings has the highest percentage of area operated i.e., 27.9 per

cent, closely followed by small size category with 24.8 percent, medium size

class with 23.9 per cent, marginal size class with 15.2 per cent and the large size

class with 8.2 percent, which has the least share.

• The average size of operational holdings has come down marginally, from

1.63 hectares during 2005-06 census to 1.55 hectares during 2010-11 census by

0.08 hectare, which is mainly due to sub-division and fragmentation of land

holdings, this trend is common in every Agricultural Census.

• The average size of operational holdings, in the case of male is found to be

1.61 hectares compared to 1.28 hectares of female operational holders.

• One notable feature is that the average size of holdings increase with increase in

size classes. The marginal size class showed the minimum of 0.48 hectare of

average size holdings, followed by small size class holdings with 1.41 hectares,

semi medium size class 2.68 hectares, medium size class 5.69 hectares and

large size class 14.71 hectares, which is observed to be maximum.

• Among the social groups, the total number of holdings of scheduled caste group

was found to be 9.14 lakhs, which showed an increase of 3.6 per cent over the

previous census figure of 8.82 lakhs. Similarly, in case of scheduled tribe group,

the number of holdings which is 4.73 lakhs as per 2010-11 census increased by

7.7 per cent, compared to 4.39 lakhs in 2005-06 census.

• The area operated by scheduled caste operational holders is found to be

10.74 lakh hectares in 2010-11 census compared to 11.00 lakh hectares of

2005-06 census registered a decrease of 2.4 per cent. In case of scheduled tribe

operational holders, the area operated decreased from 7.25 lakh hectares in

2005-06 census to 7.05 lakh hectares in 2010-11 census with a decrease of

2.8 per cent.

• The average size of operational holdings by scheduled caste according to

2010-11 census is 1.18 hectares, which is dropped marginally by 0.07 hectare

when compared to 1.25 hectares in 2005-06 census. Similarly, in case of

37

scheduled tribe, it has come down by 0.16 hectare i.e., from 1.65 hectares during

2005-06 census to 1.49 hectares in 2010-11 census.

• The other social group held 64.33 lakh holdings with an operated area of

103.09 lakh hectares, with 1.60 hectares of average size of operational holdings

in 2010-11 census. Whereas in 2005-06 census, which has been indicated as a

lower number of 62.45 lakh holdings, while the operated area showed a marginal

increase of 104.87 lakh hectares resulted in a slightly higher average size of

operational holding of 1.68 lakh hectares.

• Among the different types of holdings, obviously the Individual type holdings had

the maximum share of 99.13 percent of the total operational holdings, while the

Joint type accounted for 0.70 percent and the Institutional type accounted for

negligible 0.17 percent, as per 2010-11 Agricultural Census.

• The area operated by types of holdings is also synonymous, since 98.55 percent

of the total area operated is by Individual type holdings, 0.85 percent of area

operated is by Joint type and the remaining 0.60 percent by the Institutional type,

as per 2010-11 Agricultural Census.

• The average size of Individual type of holdings as per 2010-11 census is

1.54 hectares, that of Joint type is 1.85 hectares and for Institutional type it is

5.78 hectares. But in 2005-06 census, wherein the average size of the Individual

type of holdings was 1.63 hectares, Joint type was 1.57 hectares and Institutional

type was 4.87 hectares. It may be observed that the average size of the

Institutional type of holdings in both the censuses were higher compared to

Individual type and Joint type of holdings, because of fewer number of holdings

coming under Institutional category.

• During the first Agricultural Census 1970-71, the number of operational holdings,

which was 35.51 lakhs, has increased by over 121 percent compared to the Ninth

Agricultural Census (2010-11) figures of 78.32 lakh holdings.

• The trend in area operated during the first Agriculture Census 1970-71, shows a

slight decrease of 0.1 per cent compared to 1976-77 census. Increasing trend

was observed during the subsequent three censuses 1980-81, 1985-86 and

1990-91 and once again in 1995-96 census, it fell marginally by 1.7 percent and

then increased by 1.6 and 0.6 percent during 2000-01 and 2005-06 census

respectively and it marginally fell by 1.8 percent during 2010-11 census.

Pertaining to the area operated, during the first census 1970-71 it was

113.68 lakh hectares, and increased to 121.61 lakh hectares, during 2010-11

census with an increase of about 6.98 percent.

• The trend of average size of operational holdings was gradually decreasing at

every census period. It may be noted that the average size of operational

38

holdings, which was 3.20 hectares in the first Agricultural Census 1970-71 has

decreased to 1.55 hectares during 2010 - 11 census, indicating shortfall of

52 percent.

• Among 30 districts in the State, Gulbarga topped the list with 5.31 lakh

operational holdings, closely followed by Hassan 4.36 lakhs, Tumkur 4.14 lakhs,

Mandya 3.96 lakhs, Gulbarga 3.95 lakhs etc., and lowest being Kodagu with

0.69 lakh.

• As regards area of operational holdings, Belgaum captures first place in the State

with 9.92 lakh hectares of area operated, followed by Bijapur 9.51 lakh hectares,

Gulbarga 9.38 lakh hectares, Raichur 6.96 lakh hectares, Tumkur 6.76 lakh

hectares etc., and least being the Bangalore (Urban) with 0.79 lakh hectares.

• With regard to average size of operational holdings, Bijapur district ranked first in

the State, with 2.78 hectares, followed by Kodagu 2.44 hectares, Gadag and

Dharwad each with 2.39 hectares, Gulbarga 2.37 hectares, Bagalkote

2.14 hectares, Raichur 2.10 hectares and lowest being Udupi and Ramanagara

each with 0.75 hectare.

• The average size of operational holdings has declined in all the districts, except

in Hassan and Kodagu in 2010-11 census compared to 2005-06 census.

• The average size of holdings held by male operational holders is comparatively

higher than that of female holders in all the districts except in Udupi district.

• The number of operational holdings under scheduled caste increased in

12 districts, declined in 10 districts and remains the same in 10 districts

compared to 2010-11 census to 2005-06 census. Under schedule tribe groups, it

is increased in 13 districts, decreased in 7 districts and remains the same in

7 districts. Similarly, among other social group, it showed a mixed trend where in

increased in 16 districts and decreased in 11 districts. This aspect could not be

compared for the other three newly formed districts viz., Ramanagara,

Chickballapura and Yadgiri.

• The area operated by scheduled caste group has shown a mixed trend where in

6 districts increased, 15 district decreased and 6 districts remains the same as

compared to the two census. Similarly, in case of scheduled tribe group, it has

declined in 13 districts, increased in 6 districts and remains the same in

8 districts. In respect of other social group the area operated increased in

6 districts, declined in 20 districts and remains the same in one district

comparatively between 2010-11 and 2005-06 Census.

• Pertaining to the average size of operational holdings, it is observed that in case

of scheduled caste group, it has declined in 22 districts and increased in

5 districts. In respect of scheduled tribe groups, decline in 23 districts and

39

increase observed in 4 districts. With regard to other social groups, the average

size of operational holdings reduced in 21 districts, increased in the 5 districts

and remains the same in Belgaum district compared with 2005-06 census to

2010-11 census.

• The number of operational holdings under Individual category observed as

increased in 17 districts and declined in 10 districts compared to 2005-06 census

with current census 2010-11.

• Under the category of Joint holdings, it is observed that, the number of

operational holdings declined in 7 districts, increased in 6 districts, negligible in

13 districts and remain the same in one district in between the census.

• In case of Institutional type, the number of operational holdings observed to be

negligible in 17 districts, it is 1000 holdings each in 7 districts viz., Gadag, Uttar

Kannada, Haveri, Bellary, Udupi, Hassan and Dakshina Kannada.

• The area operated by Individual type of holders, has declined during 2010-11 as

compared to the previous census 2005-06 in 20 districts. While it has increased

in the remaining 7 districts.

• In respect of Joint type of holdings, the area operated is found to be negligible in

14 districts. A maximum of 34,000 hectares of area is observed in Bellary district.

Least being 1,000 hectares each in Bijapur, Chitradurga, Dakshina Kannada and

Mysore.

• In case of area operated under institutional type, a maximum of 13,000 hectares

of area observed in Chickmagalur district, followed by 10,000 hectares in Kodagu

district, least being 1,000 hectares each in Bagalkote, Bijapur, Bidar, Raichur,

Koppal, Uttar Kannada, Haveri, Shimoga, Tumkur, Kolar and Bangalore Urban

districts.

40

3. INPUT SURVEY

Introduction:-

Agriculture continues to be the mainstay of the State as well as of the country. The

planning and execution of programmes aimed at the development of agriculture often has

the setback due to inadequacy of comprehensive data on various agronomical practices

adopted in various size classes of holdings and has resulted in exploring possibilities of

further improvement in the contents and coverage of agricultural statistics. In this context,

Input Survey undertaken as an adjunct to the Agricultural Census in the country assumes

much more importance. The results of Input Survey throws light on the usage of inputs

according to size class of holdings, in accordance with the agricultural policies aimed at

significant growth with justice to farming communities.

The first Census of Agricultural Holdings or otherwise referred to, as "Agricultural

Census" was conducted in the State of Karnataka as well as in other states in the country;

with the agricultural year 1970-71 as the reference period. The coverage in this census was

confined to number and size of operational holdings, ownership status, land use particulars,

area irrigated under different crops by sources of irrigation and cropping pattern. The

National Commission on Agriculture, as early as in 1976 recommended for collection of data

on usage of improved variety of seeds, application of various inputs, plant protection

methods, livestock, utility of agricultural implements etc., as an integral part of Agricultural

Census. The availability of such data would certainly help in chalking out various plans

aimed at increasing the productivity as well as educating the farmers, especially the under

privileged viz., marginal and small farmers, about the advanced technology in agricultural

practices. In this context, the conduct of Input Survey has become an integral part of

Agricultural Census.

The first Input Survey was conducted along with the Second Agricultural Census,

with agricultural year 1976-77 as the reference year. The objective of the survey was to

collect the data on multiple cropping, application of fertilizers and manures, livestock,

inventory of agricultural machinery and implements etc. Since the sample size adopted

during 1976-77 for the collection of data on inputs was meager i.e., 2 percent of the total

villages, as such, reliable estimates could be obtained only for the state as a whole, rather

than for smaller geographical areas in the State.

The second Input Survey was undertaken as an adjunct to the third Agricultural

Census, as a part of all India programme. The reference period for the second Input Survey

was agricultural year 1981-82, as an integral part of third Agricultural Census 1980-81. This

Input Survey had a sample size of 7 percent of the total number of villages and the report on

the survey was published during 1990.

The third Input Survey was undertaken as an adjunct to the fourth Agricultural

Census, as a part of all India programmes. But the reference period for the Third Input

41

Survey was agricultural year 1986-87, as follow up of fourth Agricultural Census 1985-86.

This Survey was conducted with a sample size of 7 per cent of the total number of villages

and the report on the survey was published during 1992.

The Fourth Input Survey was conducted in the State in the Agricultural year 1991-92

as the reference period and as an integral part of the Fifth Agricultural Census 1990-91 and

the report on the survey was published during 2000.

The Fifth Input Survey was conducted in the State in the Agricultural year 1996-97 as

the reference period and as an integral part of the Sixth Agricultural Census 1995-96 and the

report on the survey was published during 2004.

The Sixth Input Survey was conducted in the State with the Agricultural year 2001-02

as the reference period and as an integral part of the Seventh Agricultural Census 2000-01

and the report on the survey was published during November 2007.

The seventh Input Survey was conducted in the State with the Agricultural year

2006-07 as a reference period and as an integral part of the eighth Agricultural Census

2005-06 and the report on the survey published during September 2012.

The Eighth Input Survey was conducted in the State with the agricultural year

2011-12 as the reference period and as an integral part of the Ninth Agricultural Census

2010-11.

The items covered in the survey are listed below:

i) Dispersal of parcels of land;

ii) Extent of multiple cropping in irrigated and unirrigated areas

iii) Usage of chemical fertilizers, organic manures and pesticides in irrigated

and unirrigated areas;

iv) Livestock

v) Inventory of agricultural machinery and implements;

vi) Agricultural credit

vii) Usage of seeds and its problems encountered

viii) Soil testing.

Sampling Design and Sample Size:-

The sampling design adopted for the Input Survey was the two stage sampling, with

village as the sampling unit at the first stage and the operational holding as the ultimate

sampling unit at the second stage. Each taluk constituted the stratum. The number of

villages covered for the Input Survey was 7 percent of the total number of villages in the

State. These 7 percent villages were selected randomly out of the villages selected under

Timely Reporting Scheme in each taluk during the agricultural census year. In each selected

42

village, all operational holdings are classified into five stratum (size classes) viz. (i) Below

0.99 ha, ii) 1.00 to 1.99 ha, (iii) 2.0 to 3.99ha, (iv) 4.0 to 9.99 ha and (v) 10.0 ha and above.

From each stratum (size class) four operational holdings were selected for collection of data

on inputs. In the event where the number of holdings in a particular size class was four or

less than four, all the holdings in that stratum (size class) were selected.

Concepts and Definitions:-

1. Operational Holdings:-

The operational holding is defined as “all land which is used wholly or partly for

agricultural production and is operated as one technical unit by one person alone or with

others, without regard to the title, legal form, size or location.” The technical unit is defined

as “that unit which is under the same management and has the same means of production

such as labour force, machinery and animals.” Thus the actual cultivator is the unit for

collection of data for Agricultural Census/Input Survey and not the owner.

An operational holding would include both cultivated and uncultivated area provided

part of it is put to agricultural production during the reference period. If for example, an

operational holding consists of four survey numbers out of which one survey number is put

to non-agricultural uses, the total area of the operational holding would be equal to the total

geographical area of the four survey numbers. The holding will exclude Government Forest

land, Government waste land and village common grazing land. If Government wasteland is

allotted to an individual then it will be included in the holding.

If all the survey numbers of an operational holding are put to non-agricultural uses,

then it would not be considered for the purpose of Agricultural Census/Input Survey. ‘Abadi

Area’ (Residential Area) is also excluded from the total area of the holding.

During the reference year, if the entire area of the operational holding is under

current fallow, this would still be considered as an Operational Holding. If the entire area of

the holding is under other fallow then it will not be considered as an operational holding.

In cases the land is divided among all the members of the family, where, it is divided

between the husband, wife and minor children and the cultivation is being done by the

husband as the head of the family, the land may appropriately be treated as one operational

holding.

There might be cases where in the records, a holding is shown jointly in the name of

more than one co-sharer, while in fact the land may have been privately divided and the

co-sharers are independently cultivating in such cases where there is no dispute they should

be treated as many operational holdings as the number of independent cultivators.

In some States, in the RTC register against a Khatha, names of three or four persons

are shown. While from the records it would appear that there is only one holding, in practice,

all the three or four brothers are actually cultivating the land independently of each other

although there is no legal partition of land. From the census point of view, this would

constitute three or four operational holdings.

43

For cultivated areas in the State forests, no detailed land records are prepared. In

the absence of the land records and revenue agency such areas are excluded for census

purposes. If such area is included in the land records, they will be included in Agriculture

Census also.

2. Agricultural Production:-

For census purposes Agricultural Production includes the growing of field crops,

fruits, grapes, nuts, seeds, tree nurseries (except those of forest trees), bulbs, vegetables

and flowers, production of coffee, tea, cocoa, rubber, jute, oilseeds, fodder, grasses, etc.

In places where special efforts are made to raise grass, then grass should be treated

as a crop for Agricultural Census purposes.

3. Total Area of the Operational Holding:-

The total area of the operational holding should include the total of all land forming

part of a unit, which is under the same technical responsibility and management. It should

also comprise the land occupied by the farm buildings including the house of the holder,

provided such buildings are within the cultivated area. If the farm buildings are located

outside the cultivated area and are covered under Abadi Area such buildings will not be

included in the area of the holding.

4. Holder or the Operator:-

The holder, for census purposes, is the person who has the responsibility for the

operation of the agricultural holding. He exercises the technical initiative for the operation of

the holding and may have full economic responsibility (i.e. an owner) for it or share this with

others (as a tenant). When two or more persons share jointly (as partners) in the economic

and technical responsibility for the operation of an agricultural holding, each is to be

considered as the holder if they belong to different households.

All the cultivators residing in a particular village cultivating some land are “resident

cultivators” of that village irrespective of the fact whether they are cultivating land within that

village or outside. A resident cultivator may have (i) entire area of the holding located in the

village of his residence; (ii) partly within the village of residence and partly outside; and (iii)

entirely outside the village of residence.

5. Complete/Part Holding:-

A holding may consist of one or more than one parcel of land. All the parcels of land

of a holding may be situated in one village or more than one village. A holding is said to be

a complete holding if all the parcels of land of that holding are in the same village. If any

parcel of land of a holding is outside the village it is to be considered as part holding.

6. Individual/Joint Holding:-

If the holding under study is being operated either by one person alone or by a group

of persons being members of the same household, the holding is said to be ‘Individual’. If

44

two or more persons belonging to different households share jointly (as partners) in the

economic and technical responsibility for the operation of an agricultural holding, the holding

is said to be ‘Joint’.

7. Parcel:-

A parcel is all land entirely surrounded by land of other holdings or by land not

forming part of any holding. It may consist of one or more cadastral units, plots or fields.

8. Ownership Status:-

Land Owned and Self Operated:-

Land Owned:-

A person is considered to own a piece of land if he has the right of permanent

heritable possession over it. Land held under owner like possession is also considered as

owned. Owner like possessions include (i) land held from Government or others under a

grant or lease or assignment with right of transfer, and (ii) land operated under perpetual

lease.

Self Operated:-

This term refers to the operated area, part of which may be uncultivated also. In

some cases, the entire land owned may not be under cultivation in the reference year. A

part of holding may be cultivated and a part may be kept fallow or uncultivated for some

reason or the other. In all such cases the entire extent of land should be taken into account.

The modes of farming may be (i) self-cultivation, (ii) cultivator getting the land cultivated

through members of the family and (iii) owned but cultivated with the help of hired labour.

Area operated otherwise:-

This will include all encroached land or occupied in an unauthorized way and being

cultivated by the operator.

Total operated area:-

Total of (1) area owned and self-operated and (2) area operated otherwise would

give the total operated area of the operational holding.

9. Land Utilization:-

The area under operational holding is to be classified into six categories according to

the utilization of land. The categories under which the classification is to be given are:

i. Net area sown

ii. Current fallows

iii. Other uncultivated land excluding fallow land

iv. Fallow land other than current fallows

v. Cultivable waste land

vi. Land not available for cultivation

45

(i) Net Area Sown:-

This should represent the total area sown with crops and orchards counting area

sown more than once in the same year only once.

(ii) Current Fallows:-

This should represent cropped areas, which are kept fallow during the current year.

For example, if any seedling area is not cropped in the same year, it may be treated as

current fallow.

(iii) Other Uncultivated Land excluding fallow land s:-

This would include permanent pastures and others grazing land and land under

miscellaneous tree crops, etc.

(a) Permanent pastures and other grazing lands:-

This should include all grazing lands, whether they are permanent pastures and

meadows or not. Village common grazing land shall be excluded for the purpose of

Agriculture Census.

(b) Land under miscellaneous tree and groves, etc.: -

This would include cultivable land which is not included in the net area sown but put

to some agricultural bushes and other groves for fuel, etc., which are not included under

‘Orchards’ should be classed under this category. Lands of this type outside the holdings will

not be included.

(iv) Fallow land other than current fallows:-

This should include all lands which were taken up for cultivation but are temporarily

out of cultivation for a period of not less than one year and not more than five years. For

keeping such lands as fallow may be one or more of the following reasons:

(i) Poverty of the cultivators;

(ii) Inadequate supply of water;

(iii) Malarial climate;

(iv) Silting of canals and rivers; and

(v) Unremunerated nature of farming

(v) Cultivable Waste land:-

This should include lands available for cultivation, which are not taken up for

cultivation or taken up for once but not cultivated during the current year and the last five

years or more in succession for one reason or the other. Such lands may be either fallow

or covered with shrubs and jungles, which are not put to any use. Land once cultivated but

not cultivated afterwards for five years in succession should also be included in this category

at the end of the five years. Cultivable wasteland within the holdings would alone be

covered by the Census.

46

(vi) Land not available for cultivation:-

This would include Forests, Area under non-agricultural uses and barren and

uncultivated land.

(a) Forests:- This should include all lands classified as ‘Forests’ under any legal

enactment dealing with forests or administered as forests, whether state owned

or private, and area of crops raised in the forests and grazing lands or areas open

for grazing within the forests should remain included under the forest area.

Only private forests would be covered for the purposes of Agricultural Census

and Input Survey.

(b) Area under non-agricultural uses :- This should include all lands occupied by

buildings and other lands put to uses other than agriculture, within the holdings.

(C) Barren and uncultivated land:- This should include all barren and uncultivable

land within cultivated holdings.

Institutional Holdings:-

Holdings like Government Farms, Sugarcane Factories, Co-operative Farms, Temple

lands managed by Trust through hired labour are to be treated as Institutional Holdings;

these will not be covered in Input Survey. If Temple lands are leased out to individuals then

they are to be considered as individual holdings.

Training :-

Training is an essential activity for undertaking/conducting any survey. The training

programme of Input Survey was organized in two stages. In the first stage, the training to

District Statistical Officers and one Assistant Statistical Officer of the districts was organized

at State headquarters. The District Statistical Officers in turn imparted training to the field

and supervisory staff at the district headquarters.

Field Work and Supervision:-

The fieldwork of Input Survey was entrusted to the statistical staff attached to the

District Statistical Office in each district and Progress Assistants of Taluk Panchayath Offices

in each taluka. The supervision of the field work was carried out by the District Statistical

Officers, Assistant Directors and Assistant Statistical Officers of the district office and as well

by the Joint Director, Agricultural Census and staff attached to the office of State Agricultural

Census Commissioner.

Methodology:-

Before collection of actual field data required for Input Survey, a minimum of

20 operational holders at the rate of 4 operational holders in each of the major five-size class

of holdings from each of the selected village were required to be selected. For this purpose,

a sample frame of operational holders was prepared taking the list of resident operational

47

holders prepared for the Agricultural Census in Schedule L1. However, this list of operational

holders was updated for the agricultural census year taking into account the changes that

have taken place due to sale of land, division of holdings, allotment of land to landless

persons etc. The help of the Village Accountants was availed by the field staff, while

updating the list of operational holders and preparing frame of the operational holders in the

selected villages.

Since the field work of the survey was to be carried out during the agricultural census

year, covering both Kharif and Rabi / summer season crops. The list of operational holders

(i.e., the sample frame) was updated taking into consideration the mutations that have taken

place after listing the operational holders for both Kharif and Rabi / summer seasons in one

go for the reference period. The field visit should be made by the staff soon after completion

of both Kharif and Rabi / summer seasons and information relating to dispersal of parcels in

the holding, use of chemical fertilizers, organic manures, pesticides, type of seeds used,

information on multiple cropping in irrigated and unirrigated areas, livestock, agricultural

machinery and implements, agricultural credit and area covered under soil test was

gathered.

Schedules:-

In all, two listing schedules and seven operational holding schedules were used to

obtain the data required for Input Survey.

Data Processing:-

The data contained in the filled in schedules obtained from the field staff was

scrutinized at the district level and then at the state level. The work of data entry was

entrusted to the private agency and the data preparation and transfer of data to Government

of India for generation of tables was undertaken in the Computer Centre of the State

Agricultural Census Commissioner’s office (i.e., Directorate of Economics & Statistics) and

further the data validation and the generation of output tables were undertaken by

Government of India.

Tables prepared:-

State and district wise eleven sets of main tables were generated for Input Survey.

Sample Check On Developmental Programmes/Rapid Asse sment

At the instance of the then Chief Secretary to Government of Karnataka,

Development Commissioner, Government of Karnataka and Planning, Institutional Finance

and Statistics department, the Directorate of Economics and Statistics has taken up Sample

Checks on selected developmental programmes throughout the State in 1993-94 for the

reference period 1992-93.

So far, fifteen rounds of sample checks were conducted by the Directorate of

Economics and Statistics. There were 11 schemes each in first and 2nd rounds, in the

48

3rd round 10 schemes, in the 4th round 9 schemes, in the 5th round 5 schemes, in the

6th round 4 schemes, there were 5 schemes each in 7th, 8th and 9th rounds, there were

2 schemes each in 10th and 11th rounds, in 12th round 4 schemes, in 13th round 5 schemes

and there were 4 schemes each in 14th and 15th rounds are surveyed.

Sample check on developmental programmes was conducted on selected schemes.

The main objective under the sample check on developmental programme is to

cross-verify whether the beneficiary reported is bonafide, the existence of the beneficiary,

whether beneficiary received the benefits and physical verification of asset created is in

accordance with the programme implemented and to check whether followed the stipulated

scheme guidelines of concerned departments, there by facilitating the departments for

improvements while implementation of the schemes.

Sampling Methodology

I) Beneficiary Oriented Programmes

Four stage sampling method:

(a) Select four taluks where the scheme is implemented in each district, using

random sampling method

(b) Select one Gram panchayat in each selected taluk using random sampling

method

(c) Select 2 villages in each selected taluk using random sampling method.

(d) Select five beneficiaries in each of the selected village using random sampling

method.

Thus, the maximum number of 40 beneficiaries will be selected and surveyed in

respect of beneficiary oriented programme in each district.

II) Work Oriented Programmes

Two stage sampling method:

(a) Select four taluks where the scheme is implemented in each district using random

sampling method.

(b) Select five works in each selected taluk using random sampling method.

Thus, the maximum number of 20 works will be selected and surveyed in respect of

work oriented programme in each district.

Sampling method varies from scheme to scheme

State Level Training:

The State level training programme was organized for all the officers of the

Directorate of Economics and Statistics, District Statistical Officers and Assistant Directors

working in District Statistical Office at State headquarters in the month of August/September.

And the field work was carried out from September to November.

49

4. ADVANCE ESTIMATES

Introduction:

Crop forecasting is the technique of predicting crop yield and production before the

harvest actually takes place, typically a couple of months in advance. Crop forecasting relies

on rainfall, weather conditions, and plant-environment interactions in quantitative terms. The

most important factors that affect crop yields are rainfall, weather and crop conditions. The

system of crop forecast was started in 1884 with wheat crop.

Crop area and production forecasts are widely recognized as important inputs to the

food balance sheets and for anticipating production shortfalls. Crop production forecasting is

central to formulating food policy decisions in developing countries. Almost all major food

security programs-such as food-aid-imports, strategic-food-reserves, granting of licenses for

private firms to import or export, local procurement by the government and donors,

emergency food assistance, and distribution through social safety net programs-rely on crop

forecasts for strategic planning. In rainfall-dependent and highly variable agricultural

systems, these programs are critical to managing food price risks and other humanitarian

crisis. But as will be shown below, inaccurate crop production estimates can lead to

unwarranted or ill-fated policy decisions, causing governments to potentially over-export or

import unneeded supplies. However, the role of accurate crop production forecasting

systems in mitigating food price instability and transitory food insecurity is often

under-appreciated. Errors in trade decisions lead to accentuated food price fluctuations

compared to a system which takes the necessary steps to forecast crop production with

precision.

The Commencement of the extent of area and probable estimation of area of

agriculture crops in advance i.e. when the crops are still standing is called Crop Forecast.

Earlier crop forecast were prepared and sent to Government of India. But know instead of

crop forecast, advance estimates are prepared. Such facilities are required to formulate

policies of Government for supply of food grains and other agricultural produces depending

on import and export, fixation prices of agricultural produce keeping in view of the interest of

farmers and consumers, regulate interstate movement of food grains etc.

Procedure for preparation of different Advance Esti mates:

All important crops are covered under 7 major categories, namely, 1) Food Crops

2) Oil Seeds 3) Fibre 4) Sugar 5) Condiments and Spices 6) Fruits & Vegetables and

7) Drugs & Narcotics. The number of estimates range from one to five, depending on the

importance of crops and seasons. The basic data arecollected at taluk level from Rain

Recorders, Village Accountants, Revenue Inspectors, Agriculture Assistants, Assistant

50

Agriculture Officers, Horticulture Departmental Officers and public. District level estimates

generated on the basis of taluk reports are reconciled with district officers of Agriculture and

Horticulture Departments. At the State level also reconciliation exercise is carried out with

the Departments of Agriculture.

First Advance Estimate Will be issued one month after the commencement of

sowings, by visual observation. In addition, estimates of area covering only kharif crops are

generated on the basis of inputs from proceedings of Crop Weather Watch Groups (CWWG)

and feed back of on availability of water in major reservoirs, rainfall, temperature,

irrigation etc.

The Second Advance Estimate Covering both the Kharif, Rabi and Summer crops

taking into account additional information obtained from various sources including

agricultural inputs, incidence of pests and diseases, and weekly reports of area coverage by

State departments of agriculture & horticulture, and the available reconciliation reports of

area. Preliminary results of crop cutting experiments for yield will also be considered and

after reconciliation with agriculture department, estimates are prepared.

The Third Advance Estimate are based on the firming up of the earlier advance

estimates of the Kharif, Rabi and Summer seasons. Besides information received on

reconciled area, GCES yield rates and on weekly report of area coverage from Agriculture

Department are also factored into these estimates.

The Fourth Advance Estimate is based on firm figures of all seasons, supplied by

District Statistical Officer, Departments of Agriculture. These estimates are fairly dependable

as they are based on yield rates available through GCES reports.

The Final Estimates of crop production based on; area through complete

enumeration and yield rate through crop-cutting experiments, become available much after

the crop is harvested. However, the Government needs advance estimates of production for

various decisions relating to pricing, distribution, export and import, etc. The Directorate of

Economics & Statistics releases advance estimates of crop area and production through

periodical forecasts in respect of principal food and non-food crops (food grains, oil seeds,

sugarcane, fibres, etc.), which account for nearly 87 per cent of agricultural output. The

High Power Committee on Agriculture Production set up on Agriculture Statistics by

Government of Karnataka approves final estimates of the State. Final estimates are used in

estimating Gross State Domestic Product (GSDP) of agriculture sector and other

departments for preparing policies based on agriculture.

51

The following table provides calender of events for various estimates:

Sl No.

Advances Estimates

Season Taluk to DSO DSO to DES DES to GOI

1 First Kharif 12th August 18th August 21st August

2 Second Kharif, Rabi,

Summer

25th December 30th December 5th January

3 Third Kharif, Rabi,

Summer

22nd March 27th March 4th April

4 Fourth Kharif, Rabi,

Summer

20th June 25th June 30th June

5 Final Kharif, Rabi,

Summer

5th November 10th November 15th November

6 Fully Revised

Estimates (FRE)

Kharif, Rabi,

Summer,

Annual

- - Next Agriculture

year in the month

of December

52

5. Fully Revised Estimates

This is an important report which furnishes season-wise, irrigated, unirrigated,

variety-wise information on crop area, yield and production. This report will be brought out

by December in the next crop year. The report on Fully Revised Estimates covers cereals,

pulses, oil seeds, vegetable crops, commercial/ fibre crops, condiments and spices,

horticulture crops, plantation crops. This report is being prepared from the year 1955

onwards.

The village-wise crop area data are compiled from the source document of RTC

(Pahani), recorded and submitted by the Village Accountants to the Revenue Inspectors.

Based on this the Statistical Inspector of the Directorate of Economics & Statistics attached

to the Taluka Office prepares Annual Season and Crop Statistics Report (ASCR) and

forward it to the District Statistical Officer through Tahsildar. The District Statistical Officer, in

turn, consolidates the Annual Season and Crops Statistics Report for the District and further

forwards it to the Directorate of Economics and Statistics. This Report along with cropped

area under unauthorised cultivation for some crops based on part-B of Reconciliation of

Crop Area Statistics Report are also taken into account for working out production estimates

of crops covered in this report.

At present production estimates are prepared in respect of 60 crops in Karnataka.

Average yield data estimated through the scientific analysis of crop cutting experiment

results are adopted for working out the production estimates in respect of the following

28 principal crops, which are covered under Crop Estimation Survey (CES). The estimated

average yield worked out under the Crop Estimation Survey on Fruits, Vegetables and

Minor Crops of 12 horticultural crops are also adopted in this report. Area, production and

yield estimates of Rice, Jowar, Bajra, Maize, Ragi, Wheat, Bengalgram, Groundnut,

Sunflower, Safflower and Cotton crops are given for irrigated and unirrigated area

separately.

Crop Estimation Survey – Crops

Cereals : (1) Rice (2) Jowar (3) Bajra (4) Maize (5) Ragi

(6) Wheat (7) Navane and (8) Save

Pulses : (1) Tur (2) Gram (3) Horsegram (4) Blackgram

(5) Greengram (6) Avare (7) Cowpea

Oilseeds : (1) Groundnut (2) Sesamum (3) Safflower

(4) Sunflower (5) Castor (6) Linseed (7) Soyabean

Vegetable crops : (1) Onion (2) Potato

Commercial / Fibre crops : (1) Sugarcane (2) Cotton (3) Tobacco

Condiment and Spice crops : Dry Chillies

53

Fruits & Vegetables – Crops

Horticultural crops : (1) Mango (2) Banana (3) Grapes (4) Guava (5) Sapota (6)

Lemon (7) Pomogranate (8) Tomato (9) Beans (10) Brinjal (11) Cabbage and (12) Turmeric

In respect of the following 17 crops for which no Crop Estimation Survey estimates

are available, a sample survey will be conducted to assess the yield through oral enquiry of

cultivators on sample basis. The yield rates based on this Oral Enquiry Method is adopted to

workout the production estimates.

Non-CES – Crops

Cereals : 1) Korle (Other Small Millets)

Pulses : 1) Madaki (2) Peas (Other Pulses)

Oil seeds : 1) Nigerseed, 2) Mustard

Horticultural & Plantation

crops

: 1) Cashewnut 2) Tapioca 3) Sweet Potato 4) Papaya

5) Coconut

Condiment & Spice crops : 1) Dry Ginger 2) Cardamom 3) Garlic 4) Black Pepper

5) Coriander 6) Arecanut

Fibre crop : 1) Mesta

The Yield rate for three other crops are arrived through traditional method.

Cereals : 1) Haraka 2) Baragu (Other Small Millets)

Fibre crop : 1) Sunhemp

District-wise Production estimates for the districts are obtained by multiplying the

area figures by the respective yield rates in respect of individual crops. A bund correction of

five percent is applied in respect of cereals, pulses, oilseeds, and commercial crops, which

are covered under Crop Estimation Survey. In other words five percent of area is deducted

out of the total area under the crop towards bunds, water channels, foot tracks etc.

In case of districts not covered under Crop Estimation Survey, estimates are worked

out by taking weighted average of the yield of the districts covered by the survey.

The pooled average is obtained by dividing production by area after applying bund

correction factor.

In case of crops not covered by the Crop Estimation Survey one percent bund

correction is applied to the area.

In case of Twelve crops covered under the Crop Estimation Survey on Fruits

Vegetables and Minor Crops, yield rate are adopted as in this report without applying bund

correction as per the methodology prescribed for the survey.

The following procedure followed for furnishing Ave rage yield:

Average yield of Rice is given in terms of raw Rice, Groundnut in terms of nuts in

shells, Sugarcane in terms of cane, Tobacco in terms of leaves, Castor and Sunflower in

54

terms of seeds, Cotton in terms of lint and for the remaining Crop Estimation Survey crops

in terms of grains only.

The unit of measurement of production is as follows:

Mesta - Bales of 180 Kgs.

Cotton - Bales of 170 Kgs. in lint form.

Black Pepper and Dry Ginger - In Quintals

Coconut - In thousand nuts

All Other Crops - In Tonnes

Refinement of Crop Forecasting Techinique:

Recently, the Ministry of Agriculture has set up a National Crop Forecasting Centre

(NCFC) with the object of examining the existing mechanism of building forecasts of

principal crops and developing more objective techniques. The NCFC takes into account

information on weather conditions, supply of agricultural inputs, pests, diseases and related

aspects including the proceedings of CWWG in the formulation of scientific and objective

forecasting methods to replace the present system. The work of the NCFC is still at a

preliminary stage and it needs more statistical support to be able to develop appropriate

models of forecasting.

The system of forecasting crop production in the country by the Ministry of

Agriculture needs to be replaced as soon as possible by an objective method using

appropriate statistical techniques. The recent establishment of the NCFC, which has been

assigned the responsibility of streamlining and improving the quality of forecasting, should

go a long way in accomplishing this objective. However, it needs additional professional

support, comprising statisticians and multi-disciplinary team of experts to devise scientific

techniques of crop forecasting.

Remote Sensing technology can also provide a satisfactory means of developing

reliable estimates of crop area and condition of the crop at various stages of growth for

forecast purposes. The Space Application Centre (SAC) is already at an advanced stage of

experimenting with the approach of Remote Sensing to estimate the area under principal

crops through the scheme known as “Forecasting Agricultural output using Space,

Agro-meteorology and Land based observations” (FASAL). Incidentally, this will form an

important input in the forecasting methodology to be developed by NCFC. The land-based

observations should be used to measure quantitative changes in crop growth besides

discriminating one crop from another.

Ministry of Agriculture and the National Crop Forecasting Centre (NCFC) should be

placed in objective method of forecasting the production of crops.

55

6. ANNUAL SEASON AND CROP REPORT (ASCR)

Introduction:

Area production, productivity and prices of Agriculture crops in Karnataka is one of

the principal annual publications compiled and released by Directorate of Economics and

Statistics (DES), containing a seam of information and data on important aspects such as

status of rainfall, land use pattern, sources of irrigation, area, production and productivity,

agricultural wages and wholesale price trend. It provides a total perspective of the

agricultural situation. A longitudinal study of agricultural sector can be made by examining

and analyzing this timeseries data meticulously. Crop wise area and land use pattern are

arrived at based on the revenue records as finalized at the time of Reconciliation of Crop

Statistics in each district. It is an important factor in the estimation of the production of

various crops, the other being the yield estimates based on the crop cutting experiments

carried out by the field staff of the Directorate of Economics & Statistics (DES), Revenue,

Agriculture & Horticulture Department, Rural Development and Panchyath Raj Department.

The ASCR Compiled by DES is the only authenticated and exhaustive document available

on land use particulars in the state as well as in the country. Annual State Report is sent to

the Ministry of Agriculture and Co-operation, Government of India.

Coverage:

In this report, all 161 agricultural and horticultural crops are covered. Besides land

use particulars through nine fold classification of land, it provides very useful data relating to

different sources of irrigation and extent of area irrigated through various sources, season

wise cropped area etc. It is based on only authorized cultivation. However, reconciliation of

area statistics provides data on both authorized and unauthorized cultivation.

Objectives:

Main objectives are:

1) To obtain the area under various crops, separately for irrigated and unirrigated,

2) To study the landuse pattern,

3) To compile the area under various sources of irrigation.

Compilation Procedure:

The Annual Season and Crop report is prepared by the DES once in a year

corresponding to the preceding agriculture year (July to June). The State level report

comprises district wise information 1) Land use (9 fold) classifications 2) Area irrigated by

different sources 3) Season wise area irrigated for different crops 4) Season wise different

crops grown including irrigated crops. This report is prepared according to formats

prescribed by Government of India.The DES is considered as State Agricultural Statistical

Authority (SASA) by Government of India.

56

Reconciliation of area statistics also provides crop data on unauthorized extent of

cultivation.

Procedure of Collection of Crop Area Statistics :

Crop Area Statistics:

Karnataka state belongs to the category of temporarily settled states. Most of the

geographical areas are cadastral surveyed and detailed pod (hissa) maps and village maps

are available with Village Accountant The crop area statistics originate from the Village

Accountant on the basis of complete enumeration of the fields. He, along with Agriculture

Assistant of Agriculture Department, Work Inspector of Water Resource Department and

Sugarcane Inspectors attached to local sugar cane factories, has to visit each and every

survey/sub survey number of the village in all the 3 seasons, i.e. Kharif (early Kharif, late

Kharif), rabi and summer, according to the notification issued by Revenue Department dated

6-5-2005 and 27-9-2010, and record information such as area under different crops, land

use categories and its status in RTC (Record of Rights, Tenancy and Crop)

The stipulated period for writing of RTC by the Village Accountant after joint field

inspection is as follows:

Season Sowing Period RTC Writing Period

Early Kharif 1st April to 30th June 1st July to 31st July

Late Kharif 1st July to 31st August 1st September to 30th September

Rabi 1st September to 31st December 1st January to 31st January

Summer 1st January to 31st March 1st April to 30th April

Annual Crops* Existing perennial crops* 1st September to 30th September

Note: * Area under annual as well as existing perennial crops has to be recorded during the late Kharif

season.

The Village Accountant aggregates crop area village wise. The Hobliwise and Gram

Panchaith wise figures are further Consolidated by Revenue Inspector. The figures are

further consolidated at taluk by Statistical Inspectors and presented in the Taluk

Reconciliation of Agriculture Statistics Committee meeting Chaired by the Tahasildar,

wherein, Assistant Director of Agriculture, Senior Assistant Director of Horticulture, Nodal

Officer of Water Resources Department and Cane Development Officer have to participate.

In a similar way, the DSO convene the District Level Reconciliation Committee meeting

under the Chairmanship of the Deputy Commissioner, in which, Joint Director of Agriculture,

Deputy Director of Horticulture, Nodal Officer of Water Resources Department and District

Statistical Officer are members.

57

Data flow chart is presented below:

After completion of all three seasons, villagewise information is prepared by the

Village Accountant in Grama Vyavasaya Ankiamsha Sangrahana Namune (village crop

abstract form) and hobliwise information is consolidated first and then taluk ASCR is

prepared at Tahasildar’s office and same is sent to DSO. In DSO’s office, district report is

prepared after thorough scrutiny and sent to DES for preparation of consolidation of State

report. Further, State report is sent to DES, Ministry of Agriculture & Co-operation,

Government of India. ASCR Report contains 6 tables

Details of the information contained in ASCR as described below:

Table-1: Land Use Classification - Nine classifications are

1. Forest

2. Land put to non agriculture use

3. Barren and uncultivable land

4. Cultivable waste land

5. Permanent pastures and other grazing land

6. Land under miscellaneous trees and groves not included under net area sown

7. Current fallows

8. Other fallows

9. Net area sown

RTC

Village Abstract (VCS)

Taluk Consolidation (TCS) (Réconciliation Committee)

District Consolidation (DCS) (Réconciliation Committee)

State Consolidation

Ministry of Agriculture and Co-operation, Government of India

Hobli and GP Consolidation

58

Others are

10. Total geographical area

11. Gross cropped area

12. Area sown more than once

Table-2: Irrigation Source Numbers and Source-wise Irrigated Area –

1) Canals

2) Tanks

3) Open wells

4) Tube wells (Govt.)

5) Tube wells (Pvt.)

6) Lift Irrigation (Govt.)

7) Lift Irrigation (Pvt.)

8) Lift Irrigtion (Co-operative)

9) Budki, Kachha Kuduki (pickups)

10) Others (details)

Table -2A: Work-wise (Major/Medium/Minor), Source-wise Irrigated Area -

The criteria of irrigation classification are as under:

1. Projects having CCA more than 10,000 ha. are classified as Major Irrigation

Projects

2. Projects having CCA more than 2,000 ha.to 10,000 ha. are classified as Medium

Irrigation Projects

3. Projects having CCA less than 2,000 ha.are classified as Minor Irrigation

Projects.

Irrigation Projects include storage dams, diversion works, barrages, lift irrigation

schemes and tube wells.

Table-3: Crop-wise, variety wise, season-wise irrigated area under food and

non-food crops.

Table-3A: Source-wise, season-wise gross and net irrigated area for selected

10 crops.

Table-4: Crop-wise, variety-wise, season-wise cropped area(irrigated + un-irrigated)

of food and non-food crops (cereals, pulses, oil seeds, sugar crops, fruits &vegetable crops,

condiments & spices crops, flowers etc.)

59

Initiatives:

Government of India, as per its letter Dated 31st August 2010, has suggested states

to adopt 12 fold classification for land use. The suggestions were on the recommendations

of the National Statistical Commission. The three additional categories are:

1. Water Logged and Marshy Land:

Water logged land is the land where water is at/near the surface and stand for most

part of the year. It is generally found in lowlying areas and it excludes lakes, pond.

2. Social Forestry:

The land under social forestry is the land on which the trees are planted by the side

of railway lines, roadside, river and canal banks with a view to meeting the fuel and the

fodder needs of the rural population and to serve the broader goals of soil conservation and

of provision of shed/shelter for crops. It also includes village forests/plantations that are

being used by common man.

3. Land under Still Water:

The land under still water is broadly the land occupied by water bodies like river,

lakes, ponds, reservoirs, backwater, canals, tanks including nature made deeps in which

water stands still for most of the period. This is the land on which there is no vegetative

growth of any kind.

To adopt the new classification in RTC (Khasra Register), the necessary amendment

various Revenue Manuals and if necessary, to the Karnataka Land Revenue Act and

Rules 1964 are to be issued by Revenue Department as these records and columns have

presumptive value as evidence to act in court of law.

Refer Annexures - 1, 2 and 3 for details on concepts and definitions, nine fold

classifications, twelve fold classifications and twenty two fold land use classification.

Enabling Orders:

The following Government Orders, letters and circulars have been issued from time

to time prescribing the procedures, processes and compilations of ASCR.Details are as

follows:

1. The RD 23 ELR 2004 Dated 6-5-2005 issued by the Secretary to Government,

Revenue Department, Government of Karnataka will explain detailed procedure

writing and submission of crop abstracts from village to taluk level, taluk to district

level and district to State level (Annexure-4).

2. RD 47 TRR 79 dated 26-2-1980 issued from the Secretary to Government,

Revenue Department on recording of cropped are as by Village Accountants on

revised calendar of events (Annexure-5).

60

3. Circular No:RD:13:TRR:78 issued by the Secretary to Government Revenue

Department on recording of seasonal crops grown in orchards or plantation by

the VAs in RTC (Annexure - 6).

4. RD 153 BRR 76 dated 14-11-1980 issued from the Secretary to Government,

Revenue Department on recording irrigation sources in Column 13 of RTC

(Annexure-7).

5. RDP 23 TPS 2012 Dated 2-3-2012 issued from the Secretary to Government

(Panchayath Raj), Government of Karnataka on verifying the RTC from Village

Panchayath Chairman’s, Panchayath Development Officers and Secretaries of

Grama Panchayaths and instruct the concerned Village Accountants to correct

the crop particulars in RTC and take action to obtain from the concerned Village

Panchayaths (Annexure-8).

6. RD 23 ELR 2004 Dated 27-9-2010 addendum issued for the Government

Notification Dated 6/6/2005 issued for joint inspection during writing RTCs by the

Secretary to Government, Revenue Department (Annexure -9).

7. DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ ¤zÉðÃ±À£Á®AiÀÄªÀÅ PÀÈ¶ ªÀiÁ»wAiÀÄ£ÀÄß ¥ÀºÀtÂAiÀÄ°è zÁR¯Áw PÀÄjvÀÄ ¤ÃrgÀÄªÀ ¸ÀÆZÀ£É (C£ÀÄ§AzsÀÀ- 10).

61

ANNEXURE- 1 (ASCR)

(A) Concepts & Definitions on Land Use Statistics:

1. Forest Area : This includes all land classified either as forest under any legal

enactment, or administered as forest, whether State-owned or private, and whether wooded

or maintained as potential forest land. The area of crops raised in the forest and grazing

lands or areas open for grazing within the forests remain included under the “forest area”.

2. Area under Non-agricultural Uses: This includes all land occupied by buildings,

roads and railways or under water, e.g. rivers and canals, and other land put to uses other

than agriculture.

3. Barren and Un-culturable Land : This includes all land covered by mountains,

deserts, etc. Land, which cannot be brought under cultivation except at an exorbitant cost is

classified as un-culturable whether such land is in isolated blocks or within cultivated

holdings.

4. Permanent Pasture and other Grazing Land : This includes all grazing land

whether it is permanent pasture/meadows or not. Village common grazing land is included

under this category.

5. Land under Miscellaneous Tree Crops, etc.: This includes all cultivable land,

which is not included in “Net area sown” but is put to some agricultural use. Land under

casuring trees, thatching grasses, bamboo bushes and other groves for fuel, etc. which are

not included under “Orchards” are classified under this category.

6. Culturable Waste Land : This includes land available for cultivation, whether taken

up or not taken up for cultivation once, but not cultivated during the last five years or more in

succession including the current year for some reason or the other. Such land may be either

fallow or covered with shrubs and jungles, which are not put to any use. They may be

accessible or inaccessible and may lie in isolated blocks or within cultivated holdings.

7. Fallow Lands other than Current Fallows : This includes all land, which was

taken up for cultivation but is temporarily out of cultivation for a period of not less than one

year and not more than five years.

8. Current Fallows : This represents cropped area, which is kept fallow during the

current year.

9. Net Area Sown : This represents the total area sown with crops and orchards.

Area sown more than once in the same year is counted only once.

(B) Definitions of Some Commonly Used Terms:

(i) Geographical Area : The latest figures of geographical area of the State are as

provided by the Office of the Surveyor General of India.

62

2. Reporting Area for Land Utilization Statistics : The Reporting area stands for

the area for which data on land use classification is available. In areas where land utilization

figures are based on land records, reporting area is the area according to village papers, i.e.

the papers prepared by the village accountants. In some cases, the village papers may not

be maintained in respect of the entire area of the State.

3. Gross Cropped Area: This represents the total area sown once and/or more than

once in a particular year, i.e. the area is counted as many times as there are sowings in a

year. This total area is also known as total cropped area or total area sown.

4. Area Sown more than once: This represents the areas on which crops are

cultivated more than once during the agricultural year. This is obtained by deducting Net

Area Sown from Gross Cropped Area.

5. Irrigated Area: The area is assumed to be irrigated for cultivation through such

sources as canals (Govt. & Private), tanks, tube-wells, other wells and other sources. It is

divided into two categories: (a) Net Irrigated Area: It is the area irrigated through any source

once in a year for a particular crop. (b) Total Net Un-irrigated Area: It is the area arrived at by

deducting the net irrigated area from net sown area.

6. Total/Gross Irrigated Area : It is the total area under crops, irrigated once and/or

more than once in a year. It is counted as many times as the number of times the areas are

cropped and irrigated in a year.

7. Total/Gross Un-Irrigated Area : It is the area arrived at by deducting the gross

irrigated area from the gross sown area.

8. Cropping Intensity : It is the ratio of Total Cropped Area to Net Area Sown.

9. Agricultural Land/Total Culturable Land /Total C ultivable Area/Total Arable

land : This consists of net area sown, current fallows, fallow lands other than current fallows,

culturable waste land and land under miscellaneous tree crops.

10. Total Un-Cultivable Area/Land : It is the area arrived at by deducting the total

cultivable area from the total reported area.

11. Total Cultivated Area/Land: This consists of net area sown and current fallows.

12. Total Un-Cultivated Area/Land: It is the area arrived at by deducting the total

cultivated area from the total reported area.

63

ANNEXURE -2

Twelve Fold Classification of Land Use:

Now the Government of India classified present nine fold classified lands in to twelve

fold classification during 2010-11 as follows:

I. Forests:

This includes all land classified either as forest under any legal enactment, or

administered as forest, whether State-owned or private, and whether wooded or maintained

as potential forest land. The area of crops raised in the forest and grazing lands or areas

open for grazing within the forests remain included under the “forest area”. The details are

as follows:

It is an area (within the notified forest boundary) bearing an association

predominantly of trees and other vegetation types capable of producing timber and other

forest produce.

a) Evergreen/Semi-evergreen Forest:

It is described as a forest, which comprises of thick and dense canopy of tall trees,

which predominantly remain green throughout the year. It includes both coniferous and

tropical broad-leaved evergreen trees. Semi-evergreen forest is a mixture of both deciduous

and evergreen trees but the latter predominate

b) Deciduous Forest:

It is described as a forest, which predominantly comprises of deciduous species and

where the trees shed their leaves once in a year.

c) Degraded Forest or Scrub:

It is described as a forest where the vegetative (crown) density is less than 20% of

the canopy cover. It is the result of both biotic and abiotic influences. Scrub is a stunted tree

or bush/shrub.

d) Forest Blank:

It is described as openings amidst forests without any tree cover. It includes

openings of assorted size and shapes as seen on the imagery.

e) Forest Plantations:

It is described as an area of trees of species of forestry importance and raised on

notified forest lands. It includes, eucalyptus, casuarina, bamboo, etc.

f) Mangrove:

It is described as a dense thicker or woody aquatic vegetation or forest cover

occurring in tidal waters near estuaries and along the confluence of delta in coastal areas. It

includes species of the general Rhizophora and Aviccunia.

64

II. Land Not Available for Cultivation:

a) Marshy and Water Logged Land:

Water Loged Land is the Land where water is at/near the surface and stand for most

part of the year, It is generally found in low lying areas and it excludes lakes, ponds and

tanks.Marshyare classified into salt/brackish or fresh water depending on the salinity of

water.

b) Social Forestry:

The land under Social forestry is the land on which the trees are planted by the side

of railway lines, roadside, river and canal banks with new meeting the fuel and fodder needs

of the rural population and to serve the broader goals of soil conservation and of provision of

shed/shelter for crops. It also includes village forests/ plantations that are being used by

common man.

c) Land under Still Water:

The Land under Still water is broadly the land occupied by water bodies like river

lakes, ponds, reservoirs, backwater, canals, tanks including nature made deeps in which

water stands still for most of the period. This is the Land on which no vegetative growth of

any kind.

d) Other Land:

It is defined as an area of human habitation developed due to non-agricultural use

and that which has a cover of buildings, Roads and Railways transport, communication

utilities in association.

e) Barren and Uncultivable Land

This includes all land covered by mountains, deserts, etc. Land, which cannot be

brought under cultivation except at an exorbitant cost is classified as un-culturable whether

such land is in isolated blocks or within cultivated holdings.

III. Other Uncultivated Land excluding Fallow Land:

a) Permanent Pastures and Grazing Lands:

This includes all grazing land whether it is permanent pasture / meadows or not.

Village common grazing land is included under this category.

b) Land under Miscellaneous (misc.) Trees Crops and Groves (not included in net area

sown):

This includes all cultivable land, which is not included in “Net area sown‟ but is put to

some agricultural use. Land under censuring trees, thatching grasses, bamboo bushes and

other groves for fuel, etc. which are not included under “Orchards‟ are classified under this

category.

65

c) Culturable Waste Land:

This includes land available for cultivation, whether taken up or not taken up for

cultivation once, but not cultivated during the last five years or more in succession including

the current year for some reason or the other. Such land may be either fallow or covered

with shrubs and jungles, which are not put to any use. They may be accessible or

inaccessible and may lie in isolated blocks or within cultivated holdings.

IV. Fallow Lands:

a) Fallow Land other than Current Fallows:

This includes all land, which was taken up for cultivation but is temporarily out of

cultivation for a period of not less than one year and not more than five years.

b) Current Fallows:

This represents cropped area, which is kept fallow during the current year.

V. Net Area Sown:

This represents the total area sown with crops and orchards. Area sown more than

once in the same year is counted only once.

VI. Total Cropped Area:

This represents the total area sown once and/or more than once in a particular year,

i.e. the area is counted as many times as there are sowings in a year. This total area is also

known as total cropped area or total area sown.

VII. Area Sown more than once:

This represents the areas on which crops are cultivated more than once during the

agricultural year. This is obtained by deducting Net Area Sown from Total Area Sown (Gross

Cropped Area).

66

ANNEXURE-3 (As per NRSA)

Twenty two - fold Classification of Land Use:

The National Remote Sensing Agency (NRSA) conducted a land use survey using

Remote Sensing Technique in the year 1988-89 at the behest of the Planning Commission

in which they had classified the land by visual interpretation technique and digital techniques

into twenty two-fold. The definitions of the 22 categories adopted by them are as follows:

I. Non-Agricultural Land:

1. Built up Land:

It is defined as an area of human habitation developed due to non-agricultural use

and that which has a cover of buildings, transport, communication utilities in

association with water vegetation and vacant lands.

II. Agricultural Land:

It is defined as the land primarily used for farming and for production of food, fibre,

and other commercial and horticultural crops. It includes land under crops (irrigated

and un-irrigated), fallow, plantation, etc.

2. Crop Land:

It includes those lands with standing crop (per se) as on the date of the satellite

imagery. The crops may be of either Kharif (June-September) or Rabi (October –

March) or Kharif Rabi seasons.

3. Fallow Land:

It is described as agricultural land which is taken up for cultivation but is temporarily

allowed to rest un-cropped for one or more seasons, but not less than one year.

These lands are particularly those which are seen devoid of crops at the time when

the imagery is taken of both seasons.

4. Plantations:

It is described as an area under agricultural tree crops, planted adopting certain

agricultural management techniques. It includes tea, coffee, rubber, coconut,

arecanut, citrus, orchards and other horticultural nurseries.

III. Forest:

It is an area (within the notified forest boundary) bearing an association

predominantly of trees and other vegetation types capable of producing timber and

other forest produce.

5. Evergreen/Semi-Evergreen Forest:

It is described as a forest, which comprises of thick and dense canopy of tall trees,

which predominantly remain green throughout the year. It includes both coniferous

67

and tropical broad-leaved evergreen trees. Semi-evergreen forest is a mixture of both

deciduous and evergreen trees but the latter predominate.

6. Deciduous Forest:

It is described as a forest which predominantly comprises of deciduous species and

where the trees shed their leaves once in a year.

7. Degraded Forest or Scrub:

It is described as a forest where the vegetative (crown) density is less than 20% of

the canopy cover. It is the result of both biotic and abiotic influences. Scrub is a

stunted tree or bush/shrub.

8. Forest Blank:

It is described as openings amidst forests without any tree cover. It includes

openings of assorted size and shapes as seen on the imagery.

9. Forest Plantations:

It is described as an area of trees of species of forestry importance and raised on

notified forest lands. It includes, eucalyptus, casuarina, bamboo, etc.

10. Mangrove:

It is described as a dense thicker or woody aquatic vegetation or forest cover

occurring in tidal waters near estuaries and along the confluence of delta in coastal

areas. It includes species of the general Rhizophora and Aviccunia.

IV. Wastelands:

It is described as degraded land, which can be brought under vegetative cover with

reasonable water and soil management or on account of natural causes. Wastelands

can result from internal/imposed constraints such as, by location, environment,

chemical and physical prosperities of the soil or financial or management constraints

(NWDB, 1987).

11. Salt-affected Land:

The salt-affected land is generally characterised as the land that has adverse effects

on the growth of most plants due to the action or presence of excess soluble or high

exchangeable sodium. Alkaline land has an exchangeable sodium percentage (ESP)

of about 15, which is generally considered as the limit between normal and alkali

soils. The predominant salts are carbonates and bicarbonates of sodium. Coastal

saline soils may be with or without ingress or inundation by seawater.

68

12. Waterlogged Land:

Waterlogged land is that land where the water is at/or near the surface and water

stands for most of the year. Such lands usually occupy topographically low-lying

areas. It excludes lakes, ponds and tanks.

13. Marshy/Swampy Land:

Marshy land is that which is permanently or periodically inundated by water and is

characterised by vegetation, which includes grasses and weeds. Marshes are

classified into salt/brackish or fresh water depending on the salinity of water. These

exclude Mangroves.

14. Gullied/Ravenous Land:

The gullies are formed as a result of localised surface runoff affecting the friable

unconsolidated material in the formation of perceptible channels resulting in

undulating terrain. The gullies are the first stage of excessive land dissection

followed by their networking which leads to the development of ravenous land. The

word ‘ravine’ is usually associated not with an isolated gully but a network of deep

gullies formed generally in thick alluvium and entering a nearby river, flowing much

lower than the surrounding high grounds. The ravines, are extensive systems of

gullies developed along river courses.

15. Land with or without Scrub:

They occupy (relatively) higher topography like uplands or high grounds with or

without scrub. These lands are generally prone to degradation or erosion. These

exclude hilly and mountainous terrain.

16. Sandy Area (costal and desertic):

These are the areas, which have stabilized accumulations of sand in-site or

transported in coastal riverine or inland (desert) areas. These occur either in the

form of sand dunes, beaches, channel (river/stream) islands, etc.

17. Baren Rocky/Stony Waste/Sheet Rock Area:

It is defined as the rock exposures of varying lithology often barren and devoid of

soil cover and vegetation and not suitable for cultivation. They occur amidst hill

forests as openings or scattered as isolated exposures or loose fragments of

boulders or as sheet rocks on plateau and plains. It includes quarry or gravel pit or

brick kilns.

V. Water Bodies:

It is an area of impounded water, areal in extent and often with a regulated flow of

water. It includes man-made reservoirs/lakes/tank/canals, besides natural lakes,

rivers/streams and creeks.

69

18. River/Stream:

It is a course of flowing water on the land along definite channels. It includes from a

small stream to a big river and its branches. It may be perennial or non-perennial.

19. Reservoir/Lakes/Tanks/Canal:

It is a natural or man-made enclosed water body with a regulated flow of water.

Reservoirs are larger than tanks/lakes and are used for generating electricity,

irrigation and for flood control. Tanks are smaller in areal extent with limited use than

the former. Canals are inland waterways used for irrigation and sometimes for

navigation.

VI. Others

It includes all those, which can be treated as miscellaneous because of their nature

of occurrence, physical appearance and other characteristics.

20. Shifting Cultivation:

It is the result of cyclic land use practice of felling of trees and burning of forest

areas for growing crops. Such lands are also known as Jhum lands.

21. Grassland/Grazing Land

It is an area of land covered with natural grass along with other vegetation, often

grown for fodder to feed cattle and other animals. Such lands are found in river

beds, on uplands, hill slopes, etc. Such lands can also be called as permanent

pastures or meadows. Grazing lands are those where certain pockets of land are

fenced for allowing cattle to graze.

22. Snow-covered /Glacial Area:

It is snow-covered areas defined as a solid form of water consisting of minute

particles of ice. It includes permanently as on the Himalayas. Glacier is a mass of

accumulated ice occurring amidst permanently snow-covered areas.

70

ANNEXURE-4 (ASCR)

GOVERNMENT OF KARNATAKA

No. RD23:ELR:2004 Karnataka Government Secretariat,

Bangalore, Dated:6-5-2005

NOTIFICATION

Subject : Advance Estimates of Crop Area Statistics- Revised instructions and

guidelines for reconciliation – regarding.

Reference: 1) Government Circular No.RD.47.TRR.79 dated 26th Feb. 1980

regarding crop enumeration.

2) Telex instructions issued from Development Commissioner dated

27th Aug. 1984.

3) Government Circular No.RD 94 TRR 84 dated 6th November 1984.

4) Government Circular No.RD 28 TRR 85 dated 30th September 1985.

5) Government Circular No.RD 128 TRM 89 19th June 1990

6) Government Circular No.RD 129 TRM 92 dated 4th February 1993

7) Government Circular No.RD 126 TRM 95 dated 19th July 1995.

8) Addendum No.RD 170 TRM 2000 dated 17th August 2000.

☼☼☼☼☼☼

1. Government in the Revenue Department in the Circulars cited at (1) to (4) have issued

guidelines time and again to reconcile talukawise crop area statistics reported by the

Department of Agriculture and that of the Revenue Department.

2. Government have constituted a State High Level Co-ordination Committee (HLCC) on

Agricultural Statistics (Government Order No.IFS/28/ESS/85 dated 19-9-85) headed by

the Commissioner and Secretary to Government, Planning and IFS Department for

reviewing/improving the system of agricultural statistics including reporting of crop area

and seasonwise production statistics from time to time

3. Government have also constituted a High Power Committee (HPC) on Agricultural

Statistics headed by the Secretary to Government, Agriculture and Horticulture

Department (Government Order No.IFS/43/SMM/86 dated 8-5-1986) which is specifically

meant for monitoring current data on crop area and productivity, for official purpose.

4. The Director, Directorate of Economics and Statistics has reviewed the functioning of the

present system of reconciliation of crop area statistics and submitted a proposal for

revision of procedure to the High Level Co-ordination Committee on Agricultural

Statistics. This proposal provides for reconciliation of crop area statistics at the village

level by the village level functionaries of the departments as against the existing system

71

of reconciliation at taluk level. The High Level Co-ordination Committee has approved

this proposal in its meeting held on 8-6-89.

5. The revised procedure recommended by the High Level Co-ordination Committee has

been approved by the Government. Accordingly, guidelines and instructions for

implementing the revised procedure were issued vide Government Circular cited at

reference (5) above.

6. The revised reconciliation system was given effect from the agricultural year 1990-91.

Government desires that by adopting this system, only one set of reconciled crop area

statistics will get generated at the village level by the Tahsildars of the Taluk. The

Commissionarate of Agriculture, Department of Horticulture which monitors the

developmental programmes and the Water Resources Department (major and medium

irrigation and minor irrigation) which raises water rate demands (on the basis of crop

extent irrigated) should adopt this revised procedure for reconciliation of crop area

statistics for the purpose of reporting the statistics to their respective departmental

authorities.

7. The Government Circular cited at reference (6), (7) and (8) have been issued to enable

the field departments to have one set of area sown figures.

8. This Notification is issued with the concurrence of the Commissionarate of Agriculture,

Department of Horticulture and Water Resources Department including Minor Irrigation

Department.

By order and in the name of

Governor of Karnataka

Sd/-

(S.M.Jaamdar)

Secretary to Government,

Revenue Department.

Copy to:

1. The Additional Chief Secretary and Development Commissioner, Government of

Karnataka, Vidhana Soudha, Bangalore.

2. The Principal Secretary to Government, Planning and Statistics Departments,

M.S. Building, Bangalore.

3. The Principal Secretary to Government, Water Resources Department,

M.S. Building, Bangalore.

4. The Secretary to Government (Minor Irrigation), Water Resources Department,

M.S. Building, Bangalore with a request to issue suitable instructions to the Chief

Engineers (South and North) of Minor Irrigation Department.

72

5. The Principal Secretary to Government, Agriculture & Horticulture Departments,

M.S. Building, Bangalore with a request to issue suitable instructions to the

Commissioner, Agriculture Commissionerate.

6. The Principal Secretary to Government (Horticulture), Agriculture and Horticulture

Departments, M.S. Building, Bangalore with a request to issue suitable instructions

to the Director, Horticulture Department.

7. The Director, Directorate of Economics and Statistics, M.S. Building, Bangalore to

issue suitable instructions to the District Statistical Officers.

8. The Commissioner, Agriculture Commissionarate, Sheshadri Road, Bangalore.

9. The Director, Horticulture Department, Lalbagh, Bangalore.

10. The Engineer-in-Chief, Water Resources Development Organization, Ananda Rao

Circle, Bangalore.

11. All Chief Engineers, Water Resources Department(Major and Medium Irrigation)

12. The Chief Engineer, Minor Irrigation, (South), Nrupathunga Road, Bangalore.

13. The Chief Engineer, Minor Irrigation (North), Bijapur.

14. All the Deputy Commissioners.

15. All the Assistant Commissioners.

16. All the Tahasildars.

73

Annexure to Notification NO.RD:23:ELR:2004 DATED:6- 5-2005

Guidelines and Instructions on Reconciliation of Crop Area Statistics

1. In superseding the earlier Orders cited under references above the following revised

instructions are issued here under and will be effective from 1-4-2005.

2. The revised procedure envisages joint enumeration of crop area/irrigated areas at the

grass root level (i.e., at village level), submission of village reports to the Revenue

Inspector and processing these reports at the hobli level etc.

3. Reconciliation of crop area data compiled and reported in five stages starting from the

village to hobli, taluk, district and state levels.

4. Crop Area Enumeration at the Village Level:

4.1 At the village level, statistics on land use, crop area and crops irrigated will be collected

by Tripartite team comprising a) Village Accountant (VA) of Revenue Department

(b) Agricultural Assistant (AA) of Agriculture Department and (c) Works Inspector (WI)

of Water Resources Department (for major, medium irrigation surface sources and

minor irrigation surface sources and ground water sources) through a joint field

inspection. As there are no staff of Horticulture Department working at the village level,

the VA of Revenue Department is entrusted with the responsibility of collecting the

area survey/ subsurvey numberwise of horticulture crops (As per reference at (5)).

Similarly wherever Work Inspectors are not posted/not available, then the services of

the WI of Water Resources Department (for major, medium and minor irrigation)

available in the surrounding place or any other authorised by the Assistant Executive

Engineer be utilsed. For minor irrigation tanks having ayacut less than 40 hectares,

WI of Zilla Panchayat (if available) should assist the WI of Water Resources

Department. Else, it is the responsibility of Zilla Panchayat Divisions and Sub-divisions

to give the details pertaining to minor irrigation schemes under their control, to the WI

of Water Resources Department (for major, medium and minor irrigation). The team

for each village within the VA circle should be constituted by the Tahsildar in

consultation with his counter parts of other departments. A complete list of teams

villagewise should be maintained by the Tahsildar each year.

4.2 This team will undertake field-to-field visit for crop area enumeration as per the time

schedule prescribed (Appendix-II). Survey/sub-survey numberwise area enumerated

on field inspection by this team will be compiled by the VA and reported to the

Revenue Inspector of the concerned hobli. This village level abstract/report should be

attested by the team which consists of VA, AA and the Works Inspector. This data (in

VCS-I Part-A) relates to patta lands.

4.3 The area cultivated unauthorisedly(i.e., under backwaters of the reservoirs, tanks and

encrochment of tank commands Area under irrigation canals under section 28(5) of

Karnataka Irrigation Act 1965(3) Area within the command and within the FRL of each

74

dam like area irrigated within the river bid by lifting water when water level of the river

had receded encroachment of forest land, gomal land, land cultivated under hills and

mountains of Government land and tank commands) which are not being recorded in

the Pahani(RTC) maintained by the VA. The unauthorised cropped area under Water

Resources Department will also have to be taken into account under VCS-I, Part-B.

These cropped areas will also have to be taken into account. Therefore, under the

revised procedure, in Part-B of the Form VCS-I the AA will compile all such data

(unauthorised) of both agriculture and horticulture crops for the village.

4.4 VCS-I (Part A & Part B) prepared for getting the breakup of crop areas according to

‘Irrigated’ and ‘Un-irrigated’ category. The WI of the Water Resources Department

(including major, medium and minor irrigation) who visits the field along with VA will

ensure the area irrigated sourcewise under major, medium and minor irrigation

schemes and also the crops irrigated under springs, pickups, seepage water, nalas,

ponds, drainwater etc and the VA, AA and WI will ensure unirrigated area.

4.5 The document i.e., VCS-I (Part A) should be duly attested by the three functionaries

(VA, AA & WI). On this basis, the VA should prepare a crop abstract for the village as

per Form VCS-II (Part A & Part B) and submit it to the Revenue Inspector as per the

time schedule prescribed. Such crop inspections should be carried out in each season

as per the time schedule laid down in Appendix-II and accordingly reports have to be

prepared and submitted to the Revenue Inspector.

4.6 The village crop area abstract so prepared i.e., VCS-II (Part A & Part B) is an

authenticated document and it should be used for all Government purposes. This

village crop area should be consolidated by the Revenue Inspector of the Revenue

Department.

4.7 The VA should invariably record the survey numberwise cropped area reported in

VCS-I (Part-A) in the RTC. Functionaries of Agriculture, Horticulture, Water Resources

Department (including major, medium and minor irrigation) should also take care that

the actual reconciled cropwise area figures of their departments are entered in the

pahani by the Village Accountants. The area thus recorded in the RTC should invariably

be entered in the “Bhoomi”. The VA must carefully preserve VCS-I (Parts A & B) and

copies of reports to be sent to Revenue Inspector in Form VCS-II (Parts A & B).

5. Hobli level:

5.1 In view of Rashtriya Krishi Bhima Yojana and river water disputes, it has become

necessary to involve the Revenue Inspector to this important work. The Revenue

Inspector should prepare village panchayatwise report(VPCS) and hobliwise report

(HCS) separately containing villagewise information for each crop. He should also

prepare VPCS (Irrigation) and HCS (Irrigation) separately containing villagewise,

sourcewise irrigated area on the basis of VCS – I(Part A). The information in the

75

reports VPCS & HCS should be attested by the Revenue Inspector and Agriculture

Officer and the information in the reports VPCS (Irrigation) & HCS (Irrigation) should be

attested by the Revenue Inspector and Junior Engineer (Minor Irrigation), Water

Resources Department and then send the reports to the Tahsildar. The Revenue

Inspector should work as a co-ordinator in crop area enumeration work among the

village level functionaries of Revenue, Agriculture and Water Resources Departments.

The Revenue Inspector must carefully preserve VPCS & HCS reports and also

VPCS(Irrigation) & HCS(Irrigation) and copies of these reports be made available to

Agriculture, Horticulture and Water Resources Departments.

6. Taluk level:

6.1 Hobli level reports i.e., VPCS & HCS and VPCS(Irrigation) & HCS(Irrigation) reports

received from the RIs should be scrutinised and processed at Tahsildars office and the

taluk level report i.e., TCS-VP containing village panchayatwise information and TCS-H

containing hobliwise information on crop area should be prepared. On the basis of

TCS-H the taluk crop abstract should be prepared in TCS-CA. The information

contained in VPCS & HCS and VPCS (Irrigation) & HCS (Irrigation) should be used for

the preparation of Annual Season and Crop Statistics Report.

6.2 Taluk report containing both Part-A and Part-B i.e., TCS-CA should be approved by the

committee, which consists of the following Officers:

1. Tahsildar - Chairman

2. Assistant Director of Agriculture - Member

3. Senior Assistant Director of Horticulture - Member

4. Nodal Officer of Water Resources Department (including

major, medium and minor irrigation) (as per Appendix-III)

- Member

5. Statistical Inspector stationed at Tahsildar’s office - Convenor

6.3 The taluk crop abstract (TCS-CA) should be sent to the Deputy Commissioner and the

District Statistical Officer (with a copy to the concerned departments at taluka level) for

each season as per time schedule specified in Appendix-II. This report (TCS-CA)

should be the authoritative document for reporting the taluk level data to their

respective departments.

6.4 Village Panchayatwise taluk abstract i.e., TCS-VP and Hobliwise taluk abstract i.e.,

TCS – H should be sent to the District Statistical Officer.

7. District level:

7.1 On receipt of reports in TCS-VP, TCS-H, & TCS-CA from Tahsildars, the DSO should

verify talukwise abstracts and prepare 3 district reports i.e, viz DCS-VP containing

village panchayatwise and talukwise information, DCS-H containing hobliwise and

talukwise information and DCS-CA containing cropwise abstract of the district.

76

7.2 District report i.e., DCS-CA should be approved by the committee which consists of the

following Officers:

1. Deputy Commissioner - Chairman

2. Joint Director of Agriculture (Deputy Director of

Agriculture in respect of Bangalore(U), Bidar and Kodagu

- Member

3. Deputy Director of Horticulture - Member

4. Nodal Officer of Water Resources Departments (including

major, medium and minor irrigation (as per Appendix-III)

- Member

5. District Statistical Officer - Member Secretary

7.3 All these reports constitute the final reconciled district report. All the three district

reports should be submitted to the Director, Directorate of Economics and Statistics

according to the prescribed time schedule for each season.

8. State level:

The reconciled crop area reports submitted by the DSO should be processed by the

DES and the State level report be prepared. This report must be the authoritative

source on statistics of crop area.

9. Flow of field data:

9.1 The village crop abstracts/report in Form VCS-II Part-A should be prepared by the VA

in three sets and submitted to the Revenue Inspector, Agricultural Assistant and the

Work Inspector of Water Resources Departments (including major, medium and minor)

for their departmental use.

9.2.1 The village crop abstract in VCS-II Part-B should be made in 3 sets and should be

submitted to the Revenue Inspector, Agricultural Assistant and WI of Water Resources

Department (including major, medium and minor irrigation) for departmental

compilation.

9.3 At the hobli level, the RI should prepare VPCS & HCS as well as VPCS (Irrigation) &

HCS (Irrigation) and send copy of each report to the Tahsildar, as well as to

Agriculture, Horticulture and Water Resources Departments and copy should be

maintained in his office/Nadkacheri.

9.3.1 At the taluk level, the report in TCS-VP containing Village Panchayatwise information,

TCS-H containing hobliwise information and TCS-CA containing cropwise abstract

have to be prepared by the Tahsildar in six sets and submit the same to the Deputy

Commissioner, District Statistical Officer, Assistant Director of Agriculture, Senior

Assistant Director of Horticulture, and to the Assistant Executive Engineer of Water

Resources Department (including major, medium and minor irrigation) for their

departmental use and a copy should be maintained in the office of the Tahsildar.

77

9.5 At district level, three reports namely DCS-VP, DCS-H and DCS-CA should be

prepared by the DSO in six sets and submit the same to the Director, Director of

Economics and Statistics, Deputy Commissioner of the District, Joint Director of

Agriculture, Deputy Director of Horticulture and to the Executive Engineer of the Water

Resources Department(including major, medium and minor irrigation) for their office

use. After the approval of the reconciled cropwise area by the Deputy Commissioner

the crop area figures should be released by the concerned departments.

10 Time schedule for crop inspection and submission of reconciled reports.

Based on the enumeration of crop area period, calendar of events have been prepared

and prescribed in Appendix-I. The time schedule for compilation and reporting of area

is given in Appendix-II. The time schedule prescribed should be scrupulously followed

at each level.

11 Monitoring of the reporting system:

11.1 Taluk level:

The Tahsildar should monitor the receipt of village crop abstracts from the VAs (VCS-II

Part-A) & from AAs (VCS-II Part-B) and also Grampanchayatwise and Hobliwise

information separately from RIs {VPCS & HCS and VPCS (Irrigation) & HCS

(Irrigation)} as per the time schedule prescribed. In the monthly meeting of the

RIs/VAs this item of work must be properly reviewed and follow-up action should be

taken.

11.2 District level:

The DSO should keep track of the receipt of taluk level reports TCS-VP, TCS-H and

TCS-CA and place it before the Deputy Commissioner for review and follow up in the

monthly meeting of Revenue Officer/KTP meeting. The District Statistical Officer

should function as the resource person for sorting out the problems relating to the

system/procedure and provide guidelines.

11.3 State level:

The District level reports received in the DES should be monitored closely and time

schedule prescribed for the state level report must be adhered. Delay if any should be

reported to the Government (Revenue Department) for necessary stringent action.

12 Problems encountered in the working of the syst em

12.1 Doubts and clarifications, if any, may be got clarified from the Revenue Department.

12.2 The Director, DES should review the working of the system periodically and propose

modification, if necessary, for approval of the Government.

78

VCS Part–I

Village Crop Area Statistics - Karnataka

Part -A

Crop Inspection Register of Patta Lands (to be jointly inpected by VA, AA and WI)

Viilage Village Panchayath

Hobli Taluk

District Season

Year Enumeration Period From ____________To______________.

Area Unit

Survey/ Sub

Survey No Crop

Irrigated Unirrigated Both (Grand Total)

Source Local HYV Total Local HYV Total Local HYV Total

1 2 3 4 5 6 7 8 9 10 11 12

Signature of Village

Accountant (Including

Horticulture Crops

Signature of the work

inspector

(For both Major, Medium and

Minor irrigation works)

including tanks coming under

Zilla Panchayats (i.e., tanks

having ayacut lessthan 40

hectares)

Signature of the

Agriculture Assistant

Date of Joint Inspection

79

VCS-1

Village Crop Area Statistics - Karnataka

PART -B

Crop Inspection Register of Unauthorised cultivation (to be inpected by AA and WI)

1. Village 2.Village Panchayath

3. Hobli 4.Taluk

5. District 6.Season

7. Year 8.Enumeration Period From ____________To______________.

9. Area Unit

Survey No/

Identification Crop


Source Local HYV Total Local HYV Total Local HYV Total

1 2 3 4 5 6 7 8 9 10 11 12

Signature of the Work Inspector

(for both Major, Medium and Minor

irrigation)

Signature of the Agriculture Assistant

(For both Agriculture and Horticulture Crops)

Date of Inspection

80

VCS-II

Abstract of Village Crop Area Statistics - Karnatak a

PART –A

Crop Pattern of Patta lands (to be prepared by the VA-from (VCS-I-Part(A)

1. Viilage 2. Village Panchayath

3. Hobli 4. Taluk

5. District 6. Season

7. Year 8. Geographical Area (in Hectares)

9. Head Quarters of VA 10. Name of the VA

11.Head Quarters of AA 12. Name of the AA

13. Due date of Submission of VCS 14.Actual Date of Submission

15. Whether there is any un-authorsied

cultivation (yes/No)

16.If Yes Whether VCS Part-II also

filled up

17. Division and Head Quarters of WI 18.Name of the WI

19. Area Unit

Sl.

No

Name of

the Crop

Irrigated Unirrigated Both(Grand Total)

Local HYV Total Local HYV Total Local HYV Total

1 2 3 4 5 6 7 8 9 10 11

Signature of the Village

Accountant with Date

Signature of the Work

Inspector with date (for both

Major, Medium and Minor

irrigation Work (including

area irrigated by tanks

coming under Zilla

Panchayaths)

Signature of the Agriculture

Assistant with Date

81

VCS Part–II

Abstract of Village Crop Area Statistics - Karnatak a

PART -B

Crop Pattern of area cultivated Unauthorisedly (to be prepared by the

AA and WI from VCS-I-Part B)

1.Village 2.Village Panchayath

3.Hobli 4.Taluk

5.District 6.Season

7.Year 8.Head quarters of AA

9.Name of the AA 10. Due date of Submission of VCS II Part B

11. Area Unit 12.Actual Data of Submission

Sl.

No

Name of the

Crop


Local HYV Total Local HYV Total Local HYV Total

1 2 3 4 5 6 7 8 9 10 11

Date: Signature of Work Inspector

(for both Major, Medium and

Minor irrigation)

Signature of the Agriculture

Assistant

(For both Agriculture and

Horticulture Crops)

NB : Both Part A and B Should be submitted simultaneously on the same day

82

VPCS

Village Panchayth wise Crop Area Statistics

Village Panchayth: Taluk: District: Year: Season:

Name of the crop: (Area in Hectares)

Sl.

No

Name of

the Village

Area as per VCS-II Part-A Area as per VCS-II Part-B Grand Total

Irrigated Un-

irrigated Total Irrigated

Un-

irrigated Total Irrigated Un-irrigated Total

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Village

Panchayath

Total

Note : To be Compiled from VCS -II -Part A and Part B

Signature of the Junior Engineer (Minor

Irrigation) Water Resources Department

Signature of Agriculture Officer

with date

Signature of Revenue Inspector

with date

83

HCS

Hobli Crop Area Statistics

Hobli: Taluk: District: Year: Season:

Name of the Crop : (Area in Hectares)

Sl.

No

Name

of the

Village

Area as per VCS-II Part-A Area as per VCS-II Part-B Grand Total

Irrigated Un-irrigated Total Irrigated Un-irrigated Total Irrigated Un-

irrigated

Total

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Hobli Total

Note : To be Complied from VCS -II -Part A and Part B

Signature of the Junior Engineer (Minor

Irrigation) Water Resources Department

Signature of the Agriculture Officer

with date

Signature of the Revenue Inspector

with date

84

VPCS (Irrigation)

Village Panchayth Irrigation Area Statistics

Village Panchayth: Taluk: District: Year: Season:

(Area in Hectares)

Sl

No Name of the Village

Canal Tanks

Wel

ls

Tub

e W

ells

Lift

Irrig

atio

n

Oth

ers

Sou

rce

(Spe

cify

)

Tot

al

Maj

or

Med

ium

Min

or

Tot

al

Maj

or

Med

ium

Min

or

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Village Panchayth Total

Note:To be Compiled from VCS-I (Part-A)

Signature of the Junior Engineer

Water Resources Department (Minor Irrigation)


with Date:

85

HCS (Irrigation)

Hobli Irrigation Area Statostics

Hobli: Taluk: District: Year: Season:

(Area in Hectares)

Sl. No

Name of the Village

Canal Tanks

Wel

ls

Tub

e W

ells

Lift

Irrig

atio

n

Oth

ers(

Sec

ify)

Tot

al

Maj

or

Med

ium

Min

or

Tot

al

Maj

or

Med

ium

Min

or

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Hobli Total

Note: To be Compiled from VCS-1 (Part-A)

Signature of the Junior Engineer

Water Resources Department (Minor Irrigation)


with Date

86

TCS-VP

Village Panchayth wise Taluk Abstract of Crop Area Statistics

Taluk: Year: Season:

Name of the Crop: (Area in Hectares)

Sl.

No.

Name of the

Village

Panchayath

Area as per VPCS Part-A Area as per VPCS Part-B Grand Total

Irrigated Un-irrigated Total Irrigated Un-irrigated Total Irrigated Un-irrigated Total Lo

cal

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

TalukTotal

Signature of the Tahasildar

with date

87

TCS-H

Hobli wise Taluk Abstract of Crop Area Statistics


Name of the Crop: (Area in Hectares)

Sl.

No

Name of

the Hobli

Area as per HCS Part-A Area as per HCS Part-B Grand Total

Irrigated Un-irrigated Total Irrigated Un-irrigated Total Irrigated Un-irrigated Total

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Taluk Total


with Date

88

TCS-CA

Taluk Abstract of Crop Area Statistics


(Area in Hectares)

Sl.

No.

Name of

the Crop

Area as per HCS Part-A Area as per HCS Part-B Grand Total

Irrigated Un-irrigated Total Irrigated Un-irrigated Total Irrigated Un-

irrigated Total

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

TalukTotal

Signature of the Assistant

Director of Agriculture

Signature of the Asst Executive

Engineer of WRD

(Major, Medium and Minor Irrigation)

Signature of the Senior

Assistant Director of

Horticulture


Note:This report is required to be sent to the Deputy Commssioner, Joint Deputy Director of Agriculture, Deputy Director of Horticulture, Executive Enginer

of WRD (Major, Medium and Minor Irrigation) and District Statistical Officer

89

DCS-VP

Village Panchayth, Taluk Wise, District Crop Area Statistics (To be prepared by the DSO)

Name of the District: Name of the Crop: Year: Season:

(Area in Hectares)

Sl.

No.

Name of

the Village

Panchaya

th/Taluk

Area as per TCS- VP Part-A Area as per TCS VP Part-B Grand Total


Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Taluk Total

Taluk total

District Total

Signature of the Joint Director

of Agriculture

Signature of the Deputy

Director of Horticulture

Signature of the Executive

Engineer of WRD (Major,

Medium and Minor Irrigation)

Signature of the

District Statistical

Officer

Signature of the

Deputy Commissioner

90

DCS-H

Hobliwise, Talukwise, District Crop Area Statistic s (To be prepared by the DSO)

Name of the District: Name of the Crop: Year: Season:

(Area in Hectares)

Sl

No

Name of

the Hobli/

Taluk

Area as per TCSH Part-A Area a per TCSH Part-B Grand Total


Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

Taluk Total

Taluk total

District Total

Signature of the Joint

Director of Agriculture





Medium and Minor Irrigation)

Signature of the


Officer

Signature of the

Deputy

Commissioner

91

DCS-CA

Cropwise, District Crop Area Statistics (To be Pre pred by DSO)

Name of the District Name of the Crop: Year: Season:

(Area in Hectares)

Sl.

No

Name of

the Crop

Area as per TCS –CA Part-A Area as per TCS –CA Part-B Grand Total


Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

Loca

l

HY

V

Tot

al

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29

District Total

Signature of the Joint Director

of Agriculture





Medium Minor Irrigation)

Signature of the


Officer

Signature of the

Deputy

Commissioner

92

Time Schedule for Crop Inspection and Crop abtsract s

Season Sowing Period

Enumeration Period

Submission of Village Crop

abstract by Village accountants to RI

Submission of Village wise, (VPCS) hobli wise

to (HCS) Irrigation by Revenue Inspector to

Tahasildar

Forwardal Taluk Crop abstract to

DSOs

Submission of Crop abstract after

reconciliation from DSOs to DES

A.Kharif

A1) Early Kharif April to June July 10th August 20th August 31st August

A2) Late Kharif July to

August

September - 20th September - -

A3) Kharif (A1+A2) 20th October 30th October 15th November 30th November

B.Rabi September

to December

January 10th February 20th February 01st March 10th March

C.Summer January to

March

April 10th May 15th May 20th May 25th May

Note: Column 4 VCS-II Part-A is to be prepared for each village by the Village Accountant on the basis of survey numberwise crop inspections jointly carried

out by the Village Accountant of Revenue Department, Work Inspector of Water Resources Department and the Agriculture Assistant of Agriculture

Department VA/WI and AA must attest each village crop abstract.

93

ANNEXURE-5 (ASCR)

Government of Karnataka

No. RD:47:TRR:79 Karnataka Government Secretariat

Vidhana Soudha, Bangalore-1

Dated 26th February 1980

Circular

Sub: Crop Enumeration (Pahani) – Uniform Revised ti me Schedule

* * *

The State High leve co-ordination Committee on Agricultural Statistics has noted that

the time schedule laid down at present for writing RTC (Pahani Patrike) does not holds good

in the context of changes that have taken place in the cropping pattern, irrigation etc, Many

short duration crops are sown and harvested in between two official visits and they do not

get entered in the records by the Village Accountant. In order to account for all crops sown in

the state, the above committee has recommended to adopt modified time schedule for

writing up of RTC for each season as given below.

Crop Season Crop Enumeration Period

1) Kharif

Early Kharif 1st July to 15th July

Late Kharif 15th September to 30th Sepember

2) Rabi 1st January to 15th January

3) Summer 1st April to 15th April

This issue was examined in detail in consultation with all Deputy Commissioners and

the Director, Bureau of Economics and Statistics. In the light of the views expressed by them

on the above recommendations, it is considered necessary to adopt a slightly modified time

schedule for crop enumeration uniformly throughout the state. Accordingly it has been

decided that the following crop enumeration period be adopted throughout the state.

Crop Season Period of Crop Sown Crop Enumeration Period

1) Kharif

Early Kharif 1st April to 30 th June 1st July to 31st July

Late Kharif 1st July to 31st August 1st September to 30th September

2) Rabi 1st September to 31st December 1st January to 31st January

3) Summer 1st January to 31st March 1st April to 30th April

94

The Divsional Commissioners, the Depuy Commissioners and Special Deputy

Commissionerss of the Districts are requested to ensure that these instructions are followed

strictly by all concerned for crop enumeration commencing from Kharif season of the

year 1980-81.

Sd/-

R A Naik

Commissioner and Secretary to Government

Revenue Department

95

ANNEXURE-6


No.RD.13.TRR.78 Karnataka Government Secretariat,

Vidhana Soudha, Bangalore,

Dated: 12/15 Dec.1978.

CIRCULAR

Sub: Area enumeration- recording of seasonal crops grown in orchard or

plantation by the VAs in RTC-reg.

<<<>>>

In the course of supn. of area enumeration during each season, it has been observed

that the VAs are not following uniform procedure but following different methods in different

areas of the State in respect of recording of seasonal crops grown in orchards/plantation. In

some areas, seasonal crops such as ragi, groundnut, maize etc., grown in orchards or

plantation crops such as coconut/arecanut/coffee/tea gardens/banana/sugarcane fields are

treated as mixed crops and area under seasonal crops and perennial crops are apportioned

according to number of rows or based on seed rates etc. This procedure of allocating area

among seasonal and perennial crops is incorrect. The NSSO Government of India have also

observed that such errors are committed by the VAs during the course of their inspection.

The instructions contained in the Land Revenue Manual of Karnataka with regard to

seasonal crops grown in orchards/plantations/perennial crops, are not clear and specific. To

avoid confusion in this regard, and in order to adopt uniform procedure throughout the state,

the following method is suggested.

“The seasonal crops grown in orchard or plantation or perennial crops should not be

treated as mixed crops but as inter row-relay crops. The area under orchard or plantation or

perennial crops should be treated as net area sown and the area coming under inter row-

relay crops should be treated as area sown more than once.”

All the Deputy Commissioners are, therefore, requested to issue necessary

instructions to the Assistant Commissioner and Tahsildars and direct all the VAs to follow the

uniform procedure mentioned above while writing the RTC.

Sd/-

H.G.N. Jois,

I/C Under Secretary to Government,

Revenue Department.

To

All the Divisional Commissioners of Division,

All the Deputy Commissioners of District,

The Director of Survey, Settlement and Land Records, Bangalore.

The Director, Bureau of Economics and Statistics, Bangalore, The Planning Department.

96

Annexure 7 (ASCR)

RD:No./153.TRR.76 Government of Karnataka

Karnataka Government Secretariat

Vidhana Soudha,

Bangalore Dated:14-11-1980

Circular

Sub:- Scheme for improvement of irrigation statistics, revised

classification of irrigation sources.

* * * *

The Director of Bureau of Economics and Statistics, Bangalore in his letter

No.CAF.CA.52.1701-72-78 Dated:16-4-1979 has explained the importance and the

necessity of improvement of irrigation statistics on the recommendation made by the

National Commission on Agriculture and as discussed in the meeting held on 9-9-1977 at

Delhi, it emerged that the adoption of the revised classification of irrigation sources was not

involve any major changes in the RTC.

In the existing RTC form, the source of irrigation is recorded in col.No.13. In Order to

introduce revised classification of irrigation sources, it is necessary to modify para 43 of

instructions for filling-up the form of RTC (Record of Tenancy and crop enumeration and

para 37 (relating to col.13 source of irrigation page 45) of the manual of village accountants.

At present the sources of irrigation as enumerated in the RTC are (1) Canals

(Government and Private) (2) Tanks (3) Wells (4) Other sources. The revised classification

of sources of irrigation to be adopted as per the recommendation of National Commission on

Agriculture are as follows:

I. Surface Water:-

i) Tanks a) Large

b) Small

ii) Flow irrigation a) Major

b) Medium

c) Minor

iii) Lift irrigation a) Major

b) Medium

c) Minor

iv) Other sources a) Flow irrigation

b) Lift irrigation

97

II) Ground water:

a) Public Tube Wells

b) Private Tube Wells

c) Dug Wells

In regard to the Dug wells information on wells with pumpset and wells without

pumpsets should be given separately, A copy of the concepts and definitions of terms used

in irrigation statistics given in appendix-61.7 chapter 61 of the National Commission on

Agriculture Final report is herewith enclosed.

The Government in the public works department and the Chief Engineer (both major

and minor irrigation) were also consulted in the matter of adoption of revised classification

Finally it was felt desirable to adopt the recommended revised classification.

Once careful consideration of the proposals, Government have decided to adopt the

revised classification of irrigation sources while writing up of RTC. In order to implements the

same, instructions for filling up col.13 of RTC (source of irrigation) be modified as given

below. The relevant portion of village accountant manual will also be amended suitably.

Colum:13: Source of irrigation.

Of the crop denoted in column 9 (in RTC) is irrigated sources of irrigation and

classification of irrigation are be noted in codes in coulmn 13 as follows:

Codes to be used for sources

Government or project canal (a)

Private canal (nala) (b)

Tank (c)

Dug wells (d)

Tube well (Government) (e)

Tube well (Private) (f)

Lift irrigation Scheme (public) (g)

(Private) (h)

(Co-operatives) (i)

Budki Kachh as Kundki

(or pickup) (j)

Other (Specify) (k)

Codes to be used for classification

Major irrigation (1)

Medium irrigation (2)

Minor irrigation (3)

98

For each source of irrigation two codes are to be noted down in col.13 first code for

source and next code for classification

Examples:

Irrigation source with classification codes.

1) Major project: Government canals (a-1)

2) Medium project – Private canal (b-2)

3) Minor irrigation tank (small tanks) (c-3)

4) Medium irrigation tank (large tank) (c-2)

5) Minor lift irrigation scheme (public) (g-3)

6) Medium tube well:public (e-2)

In the case of dug wells, if it is provided with a pumpset run by oil engine or electricity

to lift the water, it should be indicated by ‘o’ or ‘E’ (o’ for oil engine and ‘E’ stands for

electricity after putting + mark against the source and classification code. If other divide

(other than oil engine and electricity) is used to lift the water, it should indicated by OD)

Example:

i) Minor dug wells with an electric pumpset (d-3) +E

ii) Minor dug well with an oil engine pumpset (d-3) +0

iii) Minor dug well with yatha or Kapile (d-3) + OD

The Deputy Commissioners are therefore hereby requested to issue suitable

instructions to all the Tahsildar Revenue Inspector and Village Accountants to adopt the

revised classification while writing up of RTC for strict compliance and adherence.

Sd/-

(A.S.Patil)

Under Secretary to Government,

Revenue Department

99

ANNEXURE – 8 (ASCR)

PÀ£ÁðlPÀ ¸ÀPÁðgÀ

¸ÀASÉå:UÁæC¥À:28:vÁ¥À À:2012 PÀ£ÁðlPÀ ¸ÀPÁðgÀzÀ ¸ÀaªÁ®AiÀÄ §ºÀÄªÀÄºÀrUÀ¼À PÀlÖqÀ ÉAUÀ¼ÀÆgÀÄ, ¢£ÁAPÀ:2.3.2012.

ÀÄvÉÆÛÃ É

«µÀAiÀÄ: ¥ÀºÀtÂAiÀÄ°è PÀÈ¶ ¸ÀA§A¢üvÀ zÁR¯ÁwUÀ¼À£ÀÄß £ÀªÀÄÆ¢¸ÀÄªÀ PÀÄjvÀÄ.

G ÉèÃR: ÀPÁðgÀzÀ ¥ÀæzsÁ£À PÁAiÀÄðzÀ²ðUÀ¼ÀÄ, AiÉÆÃd£É, PÁAiÀÄðPÀæªÀÄ ¸ÀAAiÉÆÃd£É ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉ, ÉAUÀ¼ÀÆgÀÄ EªÀgÀ CgÉ ÀPÁðj ¥ÀvÀæzÀ ¸ÀASÉå: D¸ÁA¤:37:PÀÈCACA:2009 ( sÁUÀ-3), ¢ :01.02.12.

****

««zsÀ PÀÈ¶ É¼ÉUÀ¼À PÉëÃvÀæ ªÀÄvÀÄÛ GvÁàzÀ£É, PÀÈ¶ ¤Ãw ¤gÀÆ¥ÀuÉ, gÁdåzÀ DAvÀjPÀ GvÀà£Àß, gÁeÁåzÁAiÀÄ, vÀ¯ÁzÁAiÀÄ, PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr £ÀµÀÖzÀ ¥ÀæªÀiÁt PÀAqÀÄ »rAiÀÄ®Ä »ÃUÉ ºÀvÀÄÛ ºÀ®ªÀÅ PÁgÀtUÀ½AzÀ PÀÈ¶ ¸ÀA§A¢üvÀ CAQ CA±ÀUÀ¼À£ÀÄß ¥ÀºÀtÂAiÀÄ°è £ÀªÀÄÆ¢¸ÀÄªÀÅzÀÄ CUÀvÀåªÉ¤¹zÉ. ¥Àæ¸ÀÄÛvÀ F PÁAiÀÄðUÀ¼À£ÀÄß PÀAzÁAiÀÄ E¯ÁSÉAiÀÄ UÁæªÀÄ¯ÉQÌUÀgÀÄ ¤ªÀð»¸ÀÄwÛzÀÄÝ, ¤UÀ¢vÀ ¸ÀªÀÄAiÀÄzÀ°è PÁ¯ÉÆÃavÀUÉÆ½¸ÀÄwÛ®è. DzÀÄzÀjAzÀ, PÀ£ÁðlPÀ ¥ÀAZÁAiÀÄvï gÁeï C¢ü¤AiÀÄªÀÄ, 1993gÀ ¥ÀæPÀgÀt 58(1-A) (XV) ªÀÄvÀÄÛ 61(1) (i)gÀAvÉ UÁæªÀÄ ¥ÀAZÁ¬ÄwUÀ½UÉ ªÀ»¸À ÁzÀ ¥ÀæPÁAiÀÄðUÀ¼À C£ÀÄ¸ÁgÀ UÁæªÀÄ ¥ÀAZÁ¬ÄwUÀ¼À CzsÀåPÀëgÀÄ, ¥ÀAZÁ¬Äw C©üªÀÈ¢Þ C¢üPÁj/ PÁAiÀÄðzÀ²ðAiÀÄªÀgÀÄ d£ÀUÀtw, É¼ÉUÀtw, eÁ£ÀÄªÁgÀÄ UÀtw, PÀÈ¶ GvÁàzÀ£É ªÀÄvÀÄÛ ¥À±ÀÄ ¸ÀA¥ÀvÀÄÛ ºÉZÀÑ¼ÀPÉÌ GvÉÛÃd£À, EvÁå¢UÀ½UÉ

¸ÀA§A¢ü¹zÀAvÉ ªÀiÁ»wUÀ¼À£ÀÄß ¥ÀºÀtÂUÀ¼À°è ¤RgÀªÁV £ÀªÀÄÆ¢¸À®Ä PÀAzÁAiÀÄ E¯ÁSÉAiÀÄ UÁæªÀÄ ¯ÉQÌUÀgÉÆA¢UÉ ¸ÀºÀ sÁVvÀézÀ°è PÉ®¸À ¤ªÀð»¸ÀÄªÀÅzÀÄ CvÀåUÀvÀåªÁVzÉ.

ªÉÄÃ°£À J¯Áè CA±ÀUÀ¼À£ÀÄß UÀªÀÄ£ÀzÀ°èlÄÖPÉÆAqÀÄ, PÀ£ÁðlPÀ ¥ÀAZÁAiÀÄvï gÁeï C¢ü¤AiÀÄªÀÄ, 1993gÀ ¥ÀæPÁgÀ UÁæªÀÄ ¥ÀAZÁ¬ÄwAiÀÄÄ ¥Àæw IÄvÀÄ«£À°èAiÀÄÆ ¥ÀºÀtÂAiÀÄ°è É¼É zÁR¯ÁVzÉAiÉÄÃ JAzÀÄ w½AiÀÄ®Ä UÁæªÀÄ ¥ÀAZÁAiÀÄw CzsÀåPÀëgÀÄUÀ¼ÀÄ, ¥ÀAZÁAiÀÄw C©üªÀÈ¢Þ C¢üPÁjUÀ¼ÀÄ/ PÁAiÀÄðzÀ²ðUÀ¼ÀÄ ªÀµÀðzÀ°è ªÀÄÆgÀÄ ¨Áj CAzÀgÉ ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À ¥ÀºÀtÂAiÀÄ£ÀÄß CPÉÆÖÃ§gï wAUÀ½£À°è, »AUÁgÀÄ IÄvÀÄ«£À ¥ÀºÀtÂAiÀÄ£ÀÄß ¥sÉ§æªÀj wAUÀ½£À°è ªÀÄvÀÄÛ ÉÃ¹UÉ IÄvÀÄ«£À ¥ÀºÀtÂAiÀÄ£ÀÄß ªÉÄÃ wAUÀ½£À°è CªÀgÀ ªÁå¦ÛAiÀÄ°è£À UÁæªÀÄ ¯ÉQÌUÀgÀ ¸À sÉ PÀgÉzÀÄ É¼É zÁR¯ÁwAiÀÄ «ªÀgÀUÀ¼À£ÀÄß ¥Àj²Ã°¹, CªÀ±Àå«zÀÝ°è ºÉÆ®ªÀ£ÀÄß vÀ¥Á¸ÀuÉ ªÀiÁr, É¼É zÁR¯ÁwAiÀÄ£ÀÄß RavÀ¥Àr¹PÉÆAqÀÄ ¥ÀºÀtÂAiÀÄ£ÀÄß Àj¥Àr¸ÀÄªÀAvÉ ¸ÀÆa¸À ÁVzÉ.

¸À»/- (qÁ.±Á°¤ gÀd¤Ã±ï)

¸ÀPÁðgÀzÀ PÁAiÀÄðzÀ²ðUÀ¼ÀÄ (¥ÀA.gÁeï) UÁæ«ÄÃuÁ©üªÀÈ¢Þ ªÀÄvÀÄÛ ¥ÀAZÁAiÀÄvï gÁeï E¯ÁSÉ

100

Annexure-9 (ASCR)


No:RD.23.ELR.2004 Karnataka Government Secretariat,

M.S.Building,

Bangalore, dated 27/9/2010

ADDENDUM

Addendum to the Notification No.RD.23.ELR.2004 dated 06/05/2005 is issued as

under:

In Para no. 4.1: line no.2 and 3 for the words

“by Tripartite team comprising

(a) Village Accountant (VA) of Revenue Department

(b) Agriculture Assistant (AA) of Agriculture Department

(c) Works Inspector (WI) of Water Resources Department (for major, medium irrigation

surface sources and minor irrigation surface sources and ground water sources)

through a joint field inspection.

To be read as

By a team consisting

(a) Village Accountant (VA) of Revenue Department

(b) Agriculture Assistant (AA) of Agriculture Department

(c) Works Inspector (WI) of Water Resources Department (for major, medium irrigation

surface sources and minor irrigation surface sources and ground water sources)

through a joint field inspection.

(d) Sugarcane Inspector of Local Sugar factories (Government/Private/Cooperation) of

Sugarcane, through a joint field inspection.

In Para No.6.2 for the words

1. Tahasildar - Chairman


3. Senior Assistant Director of - Member

Horticulture

4. Nodal Officer of Water Resources Department - Member

(including major, medium and minor irrigation)

(as per appendix-III)

5. Statistical Inspector stationed at Tahsildar’s - Convenor

office

101

To be read as

1. Tahasildar - Chairman


3. Senior Assistant Director of - Member

Horticulture

4. Nodal Officer of Water Resources Department - Member

(including major,medium and minor irrigation)

(as per appendix-III)

5. Cane Development Officer (one each from - Member

each Sugar Factory in the Taluk

6. Statistical Inspector stationed at Tahsildar’s - Convenor

office

By Order and in the name of the

Governor of Karnataka,

Sd/

(H.J.Lakshminarayana)

Under Secretary to Government,

Revenue Department (Land Revenue)

Copy to:

1) The Additional Chief Secretary and Development Commissioner, Government of

Karnataka, Vidhana Soudha,Bangalore.

2) The Principal Secretary to Government, Planning and Statistics Department,

M.S.Building, Bangalore.

3) The Principal Secretary to Government, Water Resources Department, Vikasa

Soudha, Bangalore.

4) The Secretary to Government (Minor Irrigation), Water Resources Department,

M.S.Building, Bangalore With a request to issue suitable instruction to the Chief

Engineers (South and North) of Minor Irrigation Department.

5) The Principal Secretary to Government, Agriculture and Horticulture Department,

M.S.Building, Bangalore With a request to issue suitable instructions to the

Commissioner, Agriculture Commissionerate.

6) The Principal Secretary to Government (Horticulture) Agriculture and Horticulture

Department, M.S.Building, Bangalore with a request to issue suitable instructions to

the Director, Horticulture Department.

102

7) The Director, Directorate of Economics and Statistics, M.S.Building, Bangalore to

issue suitable instructions to the District Statistical Officers.

8) The Commissioner, Agriculture Commissionerate, Sheshadri Road, Bangalore.

9) The Director, Horticulture Department, Lalbagh Bangalore.

10) The Engineer-in-Chief, Water Resources Development Organization, Ananda Rao

Circle, Bangalore.

11) All Chief Engineers, Water Resources Department (Major and Minor Irrigation)

12) The Chief Engineer, Minor Irrigation (South), Nrupathunga Road, Bangalore.

13) The Chief Engineer, Minor Irrigation (North), Bijapur.

14) All the Deputy Commissioners

15) All the Assistant Commissioners

16) All the Tahasildars

103

ANNEXURE -10 (ASCR)

PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀÄºÀvÀé

£ÀªÀÄäzÀÄ PÀÈ¶ ¥ÀæzsÁ£À zÉÃ±ÀªÁVzÀÄÝ, ¸ÀPÁðgÀªÀÅ PÀÈ¶ C©üªÀÈ¢ÞUÁV ¥Àæw ªÀµÀðªÀÇ ««zsÀ

AiÉÆÃd£ÉUÀ¼À£ÀÄß gÀÆ¦¸ÀÄwÛzÀÄÝ, F AiÉÆÃd£ÉUÀ¼À£ÀÄß vÀAiÀiÁj¹ C£ÀÄµÁ×£ÀUÉÆ½¸ÀÄªÀ°è PÀÈ¶ PÉëÃvÀæzÀ CAQ

CA±ÀUÀ¼À ªÀiÁ»wUÀ¼ÀÄ ¥ÀæªÀÄÄR ¸ÁzsÀ£ÀUÀ¼ÁVgÀÄvÀÛªÉ. F zÀÈ¶Ö¬ÄAzÀ PÀÈ¶UÉ ¸ÀA§A¢ü¹zÀ CAQ

CA±ÀUÀ¼À£ÀÄß ¸ÀAUÀæ»¸ÀÄªÀ°è ¸ÀPÁðgÀªÀÅ CUÀvÀå PÀæªÀÄªÀ»¸ÀÄwÛzÉ.

F §UÉÎ qÁ|| gÀAUÀgÁd£ï gÀªÀgÀ CzsÀåPÀëvÉAiÀÄ gÁ¶ÖçÃAiÀÄ ¸ÁATåPÀ DAiÉÆÃUÀªÀÅ F jÃw

ºÉÃ¼ÀÄvÀÛzÉ.

“ sÀÆ G¥ÀAiÉÆÃUÀÀ ºÁUÀÆ É¼É CAQ CA±ÀUÀ¼ÀÄ PÀÈ¶ CAQ CA±À ªÀåªÀ ÉÜAiÀÄ É£Éß®Ä§Ä.

É¼É PÉëÃvÀæ, GvÀà£Àß ºÁUÀÆ sÀÆ G¥ÀAiÉÆÃUÀ PÀÄjvÀ £ÀA§®Ä CºÀðªÁzÀ, ¸ÀPÁ®zÀ°è zÉÆgÉAiÀÄÄªÀ

ªÀiÁ»w DAiÉÆÃdPÀÀjUÉ ºÁUÀÆ ¤Ãw ¤gÀÆ¥ÀPÀjUÉ PÀÈ¶AiÀÄ£ÀÄß C©üªÀÈ¢Þ ¥Àr¸À®Ä CUÀvÀåªÁVgÀÄªÀ PÀÈ¶

GvÀà£Àß ¸ÀAUÀæºÀuÉ, ¸ÁªÀðd¤PÀ «vÀgÀuÉ, DAiÀiÁvÀ, ¤AiÀiÁðvÀªÉÃ ªÀÄÄAvÁzÀ ºÀ®ªÁgÀÄ ¸ÀA§A¢ü¹zÀ

«µÀAiÀÄUÀ¼À°è ¤zsÁðgÀ PÉÊUÉÆ¼Àî®Ä CwÃ CUÀvÀåªÁVgÀÄvÀÛzÉ.”

gÁdåzÀ CAvÀjPÀ GvÀà£ÀßªÀÅ C©üªÀÈ¢ÞAiÀÄ£ÀÄß ¸ÀÆa¸ÀÄªÀ MAzÀÄ ¥ÀæªÀÄÄR ¸ÀÆZÀPÀªÁVzÉ.

EzÀgÀ°è PÀÈ¶AiÀÄÄ vÀ£Àß ¥Á®£ÀÄß Kj¹PÉÆ¼ÀÄîªÀ°è «¥sÀ®ªÁzÀgÀÆ, EvÀgÀ ªÀ®AiÀÄUÀ¼À°è£À ¥Á®£ÀÄß

¤zsÀðj¸ÀÄªÀ°è G¥ÀAiÉÆÃV¸ÀÄªÀ C£ÀÄ¥ÁvÀ ºÁUÀÆ zÀgÀ ¤UÀ¢¥Àr¸ÀÄªÀ°è ¥ÀæªÀÄÄR ¥ÁvÀæªÀ£ÀÄß

ªÀ»¸ÀÄvÀÛzÉ. F »£Éß¯ÉAiÀÄ°è PÀÈ¶ ªÀ®AiÀÄªÀÅ CvÀåAvÀ UÀªÀÄ£ÁºÀðªÁzÀ ªÀ®AiÀÄªÁVgÀÄvÀÛzÉ.

gÁdåzÀ MlÄÖ DAvÀjPÀ GvÀà£ÀßPÉÌ PÀÈ¶ ªÀ®AiÀÄzÀ PÉÆqÀÄUÉ (®PÀë gÀÆ.UÀ¼À°è)

PÀæ. ÀA

«ªÀgÀUÀ¼ÀÄ

2007-08 2007-08gÀ É¼ÀªÀtÂUÉAiÀÄ ¥ÀæªÀiÁt (2004-05)gÀ ¹ÜgÀ

É ÉUÀ¼À°è

2007-08gÀ É¼ÀªÀtÂUÉAiÀÄ ¥ÀæªÀiÁt

(2006-07£ÉÃ ¸Á°UÉ ºÉÆÃ°¹zÁUÀ)

ZÁ°Û

É ÉUÀ¼À°è

¹ÜgÀ É ÉUÀ¼À°è

1 MlÄÖ DAvÀjPÀ GvÀà£Àß (fJ¸ïr¦)

27124604 23048377 12.9 19.0

2 PÀÈ¶ ªÀ®AiÀÄzÀ MlÄÖ 3890306 3220449 13.4 16.9

3 PÀÈ¶ ªÀ®AiÀÄzÀ PÉÆqÀÄUÉ (¥Àæw ±ÀvÀzÀ°è)

14.34 13.97 - -

104

PÀæ. ÀA

«ªÀgÀUÀ¼ÀÄ

2008-09 2008-09gÀ É¼ÀªÀtÂUÉAiÀÄ ¥ÀæªÀiÁt (2004-05)gÀ

¹ÜgÀ É¯ÉUÀ¼À°è

2008-09gÀ É¼ÀªÀtÂUÉAiÀÄ ¥ÀæªÀiÁt (2007-08£ÉÃ ¸Á°UÉ ºÉÆÃ°¹zÁUÀ)

ZÁ°Û É ÉUÀ¼À°è

¹ÜgÀ É ÉUÀ¼À°è

1 MlÄÖ DAvÀjPÀ GvÀà£Àß (fJ¸ïr¦)

30214642 23889942 3.7 11.4

2 PÀÈ¶ ªÀ®AiÀÄzÀ MlÄÖ 3992991 3196168 -0.8 2.6

3 PÀÈ¶ ªÀ®AiÀÄzÀ PÉÆqÀÄUÉ (¥Àæw ±ÀvÀzÀ°è)

13.22 13.38 - -

PÀÈ¶ ªÀ®AiÀÄzÀ DzÁAiÀÄªÀÅ gÁdåzÀ ¤Ãw ¤gÀÆ¥ÀuÉAiÀÄ°è ªÀÄºÀvÀézÀ ¥ÁvÀæ ªÀ»¸ÀÄvÀÛzÉ. C£ÉÃPÀ AiÉÆÃd£Á PÁAiÀÄðPÀæªÀÄUÀ¼À C£ÀÄzÁ£À ºÀAaPÉAiÀÄÄ É¼ÉAiÀÄ ¥ÀæzÉÃ±À, ¤ÃgÁªÀj ¥ÀæzÉÃ±À, PÀÈ¶ GvÁàzÀ£É »ÃUÉ ÉÃgÉ ÉÃgÉ ¸ÀÆZÀåAPÀUÀ¼À£ÀÄß DzsÀj¹gÀÄvÀÛzÉ. PÉÃAzÀæ ¸ÀPÁðgÀªÀÅ PÀÈ¶ ªÀ®AiÀÄzÀ É¼ÀªÀtÂUÉ zÀgÀªÀ£ÁßzsÀj¹ gÁdåUÀ½UÉ C£ÀÄzÁ£À ºÀAaPÉ ªÀiÁqÀÄwÛgÀÄªÀÅzÀÄ, E°è UÀªÀÄ¤¸À ÉÃPÁzÀ CA±ÀªÁVgÀÄvÀÛzÉ.

PÀÈ¶ GvÀà£Àß CAQ CA±ÀUÀ¼ÀÄ zÉÃ±ÀPÉÌ ¸ÁPÁUÀÄªÀµÀÄÖ ¥ÀæªÀiÁtzÀ°è PÀÈ¶ GvÀà£Àß EzÉAiÉÄÃ JAzÀÄ £ÉÆÃrPÉÆ¼ÀÄîªÀ ªÀåªÀ ÉÜUÉ ¸ÀºÀPÁjAiÀiÁUÀÄªÀÅzÀgÀ eÉÆvÉUÉ PÀÈ¶ ªÀ®AiÀÄ¢AzÁV zÉÃ±ÀzÀ ¥ÀæUÀwAiÀÄ avÀæt ¸ÀºÀ ¤ÃqÀÄvÀÛªÉ. EzÀÄ ¤RgÀªÁzÀ É¼ÉAiÀÄ PÉëÃvÀæ ªÀÄvÀÄÛ E¼ÀÄªÀjAiÀÄ ªÀiÁ»wAiÀÄ CUÀvÀåvÉAiÀÄ£ÀÄß ¸ÀàµÀÖ¥Àr¸ÀÄvÀÛzÉ.

PÀ£ÁðlPÀ gÁdåzÀ PÀÈ¶ ¨É¼ÀªÀtÂUÉ zÀgÀªÀÅ PÀ¼ÉzÀ PÉ®ªÀÅ ªÀµÀðUÀ¼À°è IÄuÁvÀäPÀªÁVgÀÄªÀÅzÀÄ CvÀåAvÀ PÀ¼ÀªÀ¼ÀPÁjAiÀiÁVzÉ. EzÉÃ CªÀ¢üAiÀÄ°è £ÉgÉAiÀÄ gÁdåUÀ¼À°è PÀÈ¶ É¼ÀªÀtÂUÉ zÀgÀªÀÅ zsÀ£ÁvÀäPÀªÁVgÀÄvÀÛzÉ J£ÀÄßªÀÅzÀ£ÀÄß UÀªÀÄ¤¸À§ºÀÄzÁVzÉ.

GvÁàzÀ£ÉAiÀÄ «ªÀgÀUÀ¼ÀÄ (®PÀë l£ïUÀ¼À°è)

PÀææ. ÀA «ªÀgÀUÀ¼ÀÄ 1955-56 1980-81 2007-08

1 KPÀzÀ¼À zsÁ£ÀåUÀ¼ÀÄ + vÀÈt zsÁ£ÀåUÀ¼ÀÄ 33.70 57.13 108.15

2 ¢ézÀ¼À zsÁ£ÀåUÀ¼ÀÄ 3.74 4.88 12.33

3 JuÉÚ PÁ¼ÀÄUÀ¼ÀÄ 6.82 6.50 14.19

4

PÀ§Äâ 30.62 121.27 260.28

ºÀwÛ * 6.88 5.97 7.05

vÀA¨ÁPÀÄ 0.16 0.33 0.48

*Production in bales of 170 kgs in lint form

PÀÈ¶ ¥ÀæzsÁ£ÀªÁzÀ £ÀªÀÄä gÁdåzÀ PÀÈ¶ ªÀåªÀ ÉÜAiÀÄ KgÀÄ-¥ÉÃgÀÄUÀ¼À£ÀÄß ¸ÀPÁ®zÀ°è ÀjAiÀiÁV w½zÀÄPÉÆAqÀÄ PÀÈ¶ ªÀåªÀ¸ÉÜAiÀÄ §®ªÀzsÀð£ÉUÉ CUÀvÀå ¤Ãw ¤gÀÆ¦¸À®Ä ¥Àj¥ÀÆtð PÀÈ¶ CAQ CA±ÀUÀ¼ÀÄ ¸ÀPÁðgÀPÉÌ CwÃ CUÀvÀåªÁV ¨ÉÃPÁzÀ ªÀiÁ»wUÀ¼ÁVgÀÄvÀÛªÉ. PÀÈ¶ ¥ÀæzsÁ£ÀªÁzÀ £ÀªÀÄä DyðPÀ ªÀåªÀ ÉÜUÉ EzÀÄ C¤ªÁAiÀÄðªÁVgÀÄvÀÛzÉ.

105

DzÀÝjAzÀ gÁdåzÀ°è É¼É «¹ÛÃtð ªÀÄvÀÄÛ E¼ÀÄªÀj CAQ CA±ÀUÀ¼À£ÀÄß ¸ÀAUÀæ»¸ÀÄªÀ ºÁUÀÆ ¸ÀA¸ÀÌj¸ÀÄªÀ ªÀåªÀ ÉÜAiÀÄ°è £ÀÆå£ÀvÉUÀ½gÀzÀAvÉ ªÀåªÀ ÉÜAiÀÄ£ÀÄß GvÀÛªÀÄ¥Àr¸ÀÄªÀÅzÀÄ CwÃ CªÀ±ÀåªÁVgÀÄvÀÛzÉ.

DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ ¤zÉÃð±À£Á®AiÀÄzÀ PÀÈ¶ CAQ CA±ÀUÀ¼À « sÁUÀªÀÅ, ªÀÄÄRåªÁV sÀÆ G¥ÀAiÉÆÃUÀ, É¼É «¹ÛÃtðzÀ CAzÁdÄ, É¼É E¼ÀÄªÀj ªÀÄvÀÄÛ GvÁàzÀ£ÉAiÀÄ §UÉÎ ªÀåªÀºÀj¸ÀÄwÛzÉ. 1954£ÉÃ E¸À«AiÀÄ°è ¸ÁATåPÀ E¯ÁSÉAiÀÄ£ÀÄß PÀÈ¶ E¯ÁSÉAiÀÄ DqÀ½vÁvÀäPÀ ¤AiÀÄAvÀætzÀ°èqÀ ÁVvÀÄÛ. 1955£ÉÃ E¸À«AiÀÄ°è ¸ÉÖÃmï ¸ÁÖöån¹ÖPÀ ï §ÆågÉÆÃ C¹ÛvÀéPÉÌ §A¢zÀÄÝ, E¯ÁSÉUÉ CyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉ JAzÀÄ 1984 gÀ°è ªÀÄgÀÄ ºÉ Àj¸À ÁVzÉ. E¯ÁSÉ¬ÄAzÀ 1956 £ÉÃ E¸À«¬ÄAzÀ ÉÃ PÀÈ¶ CAQ CA±ÀUÀ¼À ¸ÀAUÀæºÀuÉAiÀÄ£ÀÄß ªÀiÁqÀ ÁUÀÄwÛzÉ. 1959£ÉÃ E¸À«AiÀÄ°è ¥Àæw f¯ÉèUÉ MAzÀÄ f¯Áè ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ¼À PÀbÉÃjUÀ¼ÀÄ gÀÆ¥ÀÄUÉÆArzÀÄÝ CA¢¤AzÀ f¯Éè / gÁdåªÀÄlÖzÀ PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀgÀ¢UÀ¼ÀÄ F E¯ÁSÉ¬ÄAzÀ ºÉÆgÀ§gÀÄwÛªÉ. DzÀgÉ PÀÈ¶ CAQ CA±ÀUÀ¼À ¥ÁæxÀ«ÄPÀ ªÀiÁ»w ºÁUÀÆ vÁ®ÆèPÀÄ ªÀÄlÖzÀ ªÀiÁ»wUÀ¼À£ÀÄß ¤ÃqÀÄªÀÅzÀÄ vÀºÀ²Ã¯ÁÝgï PÀbÉÃjAiÀÄ ºÉÆuÉUÁjPÉAiÀiÁVgÀÄvÀÛzÉ. sÁgÀvÀ ¸ÀPÁðgÀªÀÅ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉAiÀÄ£ÀÄß gÁdå PÀÈ¶ CAQ CA±ÀUÀ¼À ¥Áæ¢üPÁgÀªÉAzÀÄ (State Agricultural Statistics Authority, SASA) ªÀiÁ£ÀåvÉ ªÀiÁrgÀÄvÀÛzÉ. DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉAiÀÄ°è ¥ÀÆtðªÁV PÀÈ¶ DzsÁjvÀ CAQ CA±ÀUÀ¼À ªÀÄÆgÀÄ « sÁUÀUÀ½gÀÄvÀÛªÉ. (1) PÀÈ¶ CAQ CA±ÀUÀ¼ÀÄ (2) ¨É¼É «ªÀiÁ AiÉÆÃd£É ªÀÄvÀÄÛ (3) PÀÈ¶ UÀtw

PÀÈ¶ CAQ CA±ÀUÀ¼À DyðPÀ ¥ÁæªÀÄÄRåvÉ:

� ««zsÀ É¼ÉUÀ¼À «¹ÛÃtð ªÀÄvÀÄÛ GvÁàzÀ£ÉAiÀÄ «ªÀgÀUÀ¼À£ÀÄß MzÀV¸À®Ä.

� DºÁgÀ ªÀÄvÀÄÛ DºÁgÉÃvÀgÀ PÀÈ¶ ¨É¼ÉUÀ¼À DAiÀiÁvÀ ªÀÄvÀÄÛ ¤AiÀiÁðvÀ ¤Ãw ¤gÀÆ¦¸À®Ä.

� MlÄÖ gÁdå DAvÀjPÀ GvÀà£Àß, gÁeÁåzÁAiÀÄ, vÀ ÁDzÁAiÀÄ ªÀÄvÀÄÛ É¼ÀªÀtÂUÉAiÀÄ ¥ÀæªÀiÁtªÀ£ÀÄß PÀAqÀÄ»rAiÀÄ®Ä.

� gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr É¼ÉUÀ¼À £ÀµÀÖzÀ ¥ÀæªÀiÁtªÀ£ÀÄß ¤zsÀðj¸À®Ä É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ½AzÀ E¼ÀÄªÀj ªÀiÁ»w ¥ÀqÉAiÀÄ®Ä.

� PÀÈ¶ ¨É¼ÉAiÀÄ°è£À KgÀÄ-¥ÉÃgÀÄ w½AiÀÄ®Ä.

� ¸ÀPÁðgÀzÀ ¤Ãw ¤gÀÆ¥ÀuÉ, AiÉÆÃd£É vÀAiÀiÁj, ±ÉÊPÀëtÂPÀ CzsÀåAiÀÄ£ÀUÀ½UÉ EªÀÅ CvÀÄå¥ÀAiÀÄÄPÀÛªÁVªÉ.

IÄvÀÄªÁgÀÄ PÀÈ¶ CAQ CA±ÀUÀ¼À£ÀÄß ¸ÀPÁ®zÀ°è ¸ÀAUÀæ»¹ ªÀgÀ¢ ¸À°è¸ÀÄªÀÅzÀÄ ¤zÉÃð±À£Á®AiÀÄzÀ ªÀÄÄRåªÁzÀ PÀvÀðªÀåªÁVgÀÄvÀÛzÉ.

PÀÈ¶ CAQ CA±ÀUÀ¼À£ÀÄß ¥ÀæªÀÄÄRªÁV JgÀqÀÄ ªÀUÀðUÀ¼ÀÀ°è «AUÀr¸À§ºÀÄzÁVzÉ.

(1) ««zsÀ É¼ÉUÀ¼ÀÄ DªÀj¹gÀÄªÀ IÄvÀÄªÁgÀÄ É¼ÉPÉëÃvÀæPÉÌ ¸ÀA§A¢ü¹zÀ CAQ CA±ÀUÀ¼ÀÄ

(2) ªÀÄÄRå É¼ÉUÀ¼À IÄvÀÄªÁgÀÄ ¥Àæw ºÉPÉÖÃjUÉ E¼ÀÄªÀj PÀÄjvÀ CAQ CA±ÀUÀ¼ÀÄ

É¼É DªÀj¹gÀÄªÀ PÉëÃvÀæzÀ ºÁUÀÆ D ¨É¼ÉAiÀÄ E¼ÀÄªÀj ªÀiÁ»w¬ÄAzÀ ¸ÀA§A¢ü¹zÀ É¼ÉAiÀÄ GvÀàwÛAiÀÄ£ÀÄß CAzÁdÄ ªÀiÁqÀÄªÀ ªÀÄÆ®PÀ PÀÈ¶ªÀ®AiÀÄzÀ MlÆÖ GvÀà£Àß CAzÁdÄ ªÀiÁqÀ ÁUÀÄªÀÅzÀjAzÀ EªÀÅ CvÀåAvÀ ªÀÄºÀvÀéªÀÅ¼ÀîªÀÅUÀ¼ÁVgÀÄvÀÛªÉ.

106

PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀiÁ»wAiÀÄ ªÀÄÆ® É¼É PÉëÃvÀæ CAQ CA±ÀUÀ¼ÀÄ:

PÀ£ÁðlPÀ gÁdåªÀÅ vÁvÁÌ°PÀ sÀÆ PÀAzÁAiÀÄ ¤zsÁðjvÀ (Temporarily Settled) ¥ÀzÀÞw ºÉÆA¢zÀ ªÀUÀðPÉÌ ¸ÉÃjzÀ gÁdåªÁVzÉ. UÁæªÀÄ ªÀÄlÖzÀ°èAiÀÄ UÁæªÀÄ ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ PÉëÃvÀæ sÉÃn DzsÁgÀzÀ ªÉÄÃ¯É ¸ÀA¥ÀÆtð É¼É PÉëÃvÀæ JtÂPÉ ªÀiÁr ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ°è zÁR°¹zÀ «ªÀgÀUÀ¼ÉÃ gÁdåzÀ ¨É¼É PÉëÃvÀæ CAzÁf£À ªÀiÁ»wAiÀÄ ªÀÄÆ®ªÁVgÀÄvÀÛzÉ. UÁæªÀÄ ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ ¥ÀæwAiÉÆAzÀÄ ¸ÀªÉð ªÀÄvÀÄÛ ¸À ï ¸ÀªÉð £ÀA§gïªÁgÀÄ J®è IÄvÀÄUÀ¼À°è (¥ÀÆªÀð ªÀÄÄAUÁgÀÄ, «¼ÀA§ ªÀÄÄAUÁgÀÄ, »AUÁgÀÄ, ÉÃ¹UÉ) ¨É¼É PÉëÃvÀæPÉÌ sÉÃn ¤Ãr ««zsÀ ¨É¼É DªÀj¹gÀÄªÀ PÉëÃvÀæ, ºÁUÀÆ sÀÆ G¥ÀAiÉÆÃUÀzÀ ªÀiÁ»w ¸ÀAUÀæ»¹, ªÀVÃðPÀj¹ ¥ÀºÀtÂAiÀÄ°è (Record of Rights Tenancy and Crop, R.T.C.) zÁR°¸À ÉÃPÁVgÀÄvÀÛzÉ.

gÁdåzÀ §ºÀÄvÉÃPÀ sÀÆ ¥ÀæzÉÃ±ÀUÀ¼À£ÀÄß ªÀåªÀ¹ÜvÀªÁV ¸ÀA¥ÀÆtðªÁV ¸ÀªÉð ªÀiÁqÀ ÁVzÀÄÝ, (Cadastrally Surveyed) «ªÀgÀªÁzÀ »¸Áì / UÁæªÀÄ £ÀPÁ±ÉUÀ¼ÀÄ UÁæªÀÄ ¯ÉPÁÌ¢üPÁjUÀ¼À §½ ® sÀå«gÀÄvÀÛªÉ. ¨É¼ÉPÉëÃvÀæ JtÂPÉ §UÉÎ ¸ÀA¥ÀÆtð PÉëÃvÀæ UÀÄgÀÄw¸ÀÄªÀÅzÀPÉÌ EzÀÄ CUÀvÀå«gÀÄvÀÛzÉ. ¥ÀºÀtÂ zÁR¯ÉAiÀÄ DzsÁgÀzÀ ªÉÄÃ¯É UÁæªÀÄ ªÀÄlÖzÀ°è UÁæªÀÄ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ É¼É WÉÆÃµÁégÉ vÀAiÀiÁj¹ ºÉÆÃ§½ ªÀÄlÖPÉÌ ¸À°è¹ C°èAzÀ vÁ®ÆèQUÉ ªÀiÁ»w MzÀV¸ÀÄvÁÛgÉ. vÁ®ÆèPÀÄ ªÀgÀ¢UÀ¼À£ÀÄß DzsÀgÀ¹ f¯Áè ªÀÄvÀÄÛ gÁdå ªÀgÀ¢AiÀÄ£ÀÄß ªÁ¶ðPÀªÁV vÀAiÀiÁj¹ PÉÃAzÀæ ¸ÀPÁðgÀPÉÌ ¸À°è¸À ÁUÀÄvÀÛzÉ. EzÀ£ÀÄß ªÁ¶ðPÀ IÄvÀÄ ªÀÄvÀÄÛ É¼ÉUÀ¼À CAQ CA±ÀUÀ¼À ªÀgÀ¢ (ASCR) JAzÀÄ PÀgÉAiÀÄ¯ÁUÀÄwÛzÀÄÝ, EzÀÄ gÁdåzÀ IÄvÀÄªÁgÀÄ É¼É PÉëÃvÀæ, sÀÆ G¥ÀAiÉÆÃUÀ ºÁUÀÆ ¤ÃgÁªÀjAiÀiÁzÀ É¼ÉUÀ¼À ªÀiÁ»w M¼ÀUÉÆArzÀÄÝ, EzÉÆAzÉÃ gÁdåzÀ°è ® sÀå«gÀÄªÀ F PÀÄjvÁzÀ C¢üPÀÈvÀ ¸ÀA¥ÀÆtð zÁR¯ÉAiÀiÁVgÀÄvÀÛzÉ. EzÀ£ÀÄß ªÀÄÆgÀÆ IÄvÀÄUÀ¼À É¼ÉPÉëÃvÀæ ªÀÄgÀÄºÉÆAzÁtÂPÉ ªÀgÀ¢UÀ¼À£ÀÄß DzsÀj¹ vÀAiÀiÁj¸À ÁUÀÄvÀÛzÉ.

É¼É PÉëÃvÀæ ªÀÄgÀÄºÉÆAzÁtÂPÉ:

¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ LlA 12 ªÀÄvÀÄÛ 13 gÀ MlÄÖ 16 PÁ®AUÀ¼À°è zÁR°¸ÀÄªÁUÀ sÀÆ G¥ÀAiÉÆÃUÀUÀ¼À «ªÀgÀ, ¤ÃgÁªÀj ªÀÄvÀÄÛ É¼ÉUÉ ¸ÀA§A¢ü¹zÀ «ªÀgÀUÀ¼ÀÄ ºÁUÀÆ F «ªÀgÀUÀ¼À£ÀÄß DzsÀj¹ PÉÆæÃrüÃPÀj¹ vÀAiÀiÁj¹zÀ É¼É WÉÆÃµÁégÉ «ªÀgÀUÀ¼ÀÄ, PÀAzÁAiÀÄ E¯ÁSÉ, PÀÈ¶ E¯ÁSÉ, vÉÆÃlUÁjPÉ E¯ÁSÉ, ¤ÃgÁªÀj E¯ÁSÉ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ ¤zÉðÃ±À£Á®AiÀÄ ºÁUÀÆ E£ÀÆß C£ÉÃPÀ E¯ÁSÉUÀ½UÉ CvÁåªÀ±ÀåPÀªÁV ÉÃPÁVgÀÄªÀ ªÀiÁ»wAiÀiÁVgÀÄvÀÛzÉ. K¦æ¯ï MAzÀjAzÀ ªÀiÁZïð 31gÀ CªÀ¢üAiÀÄ£ÀÄß ¥ÀºÀtÂ zÁR¯Áw §UÉÎ PÀÈ¶ ªÀµÀð (¥ÀºÀtÂ ªÀµÀð) JAzÀÄ ¥ÀjUÀtÂ À ÁVzÀÄÝ, PÀÈ¶ ªÀµÀðzÀ ªÀÄÆgÀÄ IÄvÀÄ«£À°è ¤UÀ¢vÀ CªÀ¢üAiÀÄ°è ¥ÀºÀtÂAiÀÄ°è É¼É «ªÀgÀUÀ¼À£ÀÄß zÁR°¹ ¨É¼É WÉÆÃµÁégÉUÀ¼À£ÀÄß vÀAiÀiÁj¹ ªÀgÀ¢ ¸À°è¸ÀÄªÀÅzÀÄ CvÁåªÀ±ÀåªÁVgÀÄvÀÛzÉ. F »A¢£À ªÀµÀðUÀ¼À°è PÀAzÁAiÀÄ E¯ÁSÉ ¤ÃqÀÄwÛzÀÝ, É¼É PÉëÃvÀæ «ªÀgÀUÀ½UÀÆ PÀÈ¶ ºÁUÀÆ vÉÆÃlUÁjPÉ E¯ÁSÉUÀ¼ÀÄ ¤ÃqÀÄwÛzÀÝ, É¼É PÉëÃvÀæ «ªÀgÀUÀ½UÀÆ §ºÀ¼ÀµÀÄÖ ªÀåvÁå¸ÀUÀ½gÀÄwÛvÀÄÛ. ºÁUÉAiÉÄÃ ¤ÃgÁªÀjAiÀiÁzÀ É¼É PÉëÃvÀæ «ªÀgÀzÀ PÀAzÁAiÀÄ E¯ÁSÉAiÀÄ ªÀgÀ¢UÀÆ, ¤ÃgÁªÀj E¯ÁSÉAiÀÄ ªÀgÀ¢UÀÆ §ºÀ¼À ªÀåvÁå¸À«gÀÄwÛvÀÄÛ. F CA±ÀUÀ¼À£ÀÄß ªÀÄ£ÀUÀAqÀ ¸ÀPÁðgÀ, PÀAzÁAiÀÄ E¯ÁSÉAiÀÄ UÁæªÀÄ¯ÉQÌUÀgÀÄ, PÀÈ¶ E¯ÁSÉAiÀÄ PÀÈ¶ ¸ÀºÁAiÀÄPÀgÀÄ ªÀÄvÀÄÛ ¤ÃgÁªÀj E¯ÁSÉAiÀÄ ªÀPïð E£ïì¥ÉPÀÖgïUÀ¼ÀÄ dAnAiÀiÁV ªÀµÀðzÀ ªÀÄÆgÀÄ IÄvÀÄ«£À®Æè ¨É¼É vÀ¤SÉ £ÀqÉ¹ ¥ÀºÀtÂ §gÉzÀÄ VCS-I sÁUÀ-J DzsÁgÀ¢AzÀ UÁæªÀÄzÀ É¼É WÉÆÃµÁégÉAiÀÄ£ÀÄß vÀAiÀiÁj¹ WÉÆÃµÁégÉAiÀÄ VCS-II sÁUÀ-J £À°è ¥ÀºÀtÂAiÀÄ°è zÁR°¹zÀ É¼ÉUÀ¼À

107

«ªÀgÀUÀ¼À£ÀÄß ¤ÃqÀ®Ä ªÀÄvÀÄÛ C£À¢üPÀÈvÀ ¥ÀæzÉÃ±ÀzÀ°è É¼ÉzÀ É¼É «ªÀgÀUÀ¼À£ÀÄß PÀÈ¶ ¸ÀºÁAiÀÄPÀgÀÄ ¥ÀævÉåÃPÀªÁV ¸ÀªÉð £ÀA§gï ªÁgÀÄ¥ÀnÖ ªÀiÁr PÉÆæÃrüÃPÀj¹ UÁæªÀÄzÀ É¼É WÉÆÃµÁégÉAiÀÄ VCS-II £À sÁUÀ-© £À°è zÁR°¹ ¤UÀ¢vÀ £ÀªÀÄÆ£ÉUÀ¼À°è ¤UÀ¢üvÀ CªÀ¢üAiÀÄ°è ¸À°è¸ÀÄªÀAvÉ ¸ÀPÁðgÀzÀ C¢ü¸ÀÆZÀ£É

¸ÀASÉå:Dgï.r:23:EJ¯ïDgï 2004 ¢£ÁAPÀ:6-5-2005 gÀ°è ¤zÉðÃ²¸À ÁVgÀÄvÀÛzÉ. ¥ÀºÀtÂAiÀÄ°è J¯Áè É¼ÉUÀ¼À£ÀÄß CAzÀgÉ J¯Áè ªÀÄÄRå É¼ÉUÀ¼ÀÄ, G¥À É¼ÉUÀ¼ÀÄ, ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÀÄ, «Ä±Àæ É¼ÉUÀ¼ÀÄ,

vÉÆÃlUÁjPÁ É¼ÉUÀ¼ÁzÀ ºÀtÄÚ, vÀgÀPÁj, ºÀÆªÀÅ É¼ÉUÀ¼ÀÄ, ªÉÄÃªÀÅ É¼ÉUÀ¼ÀÄ ºÁUÀÆ EvÀgÉ É¼ÉUÀ¼À£ÀÄß vÀ¥ÀàzÉ ¥ÀævÉåÃPÀªÁV zÁR°¹ PÉÆæÃrüÃPÀj¹ WÉÆÃµÁégÉ vÀAiÀiÁj¸À®Ä ¸ÀÄvÉÆÛÃ¯ÉAiÀÄ°è ¸ÀÆa¸À ÁVgÀÄvÀÛzÉ. ºÁUÉAiÉÄÃ ªÀÄÆ®ªÁgÀÄ ¤ÃgÁªÀj «ªÀgÀUÀ¼À£ÀÄß ¥ÀºÀtÂAiÀÄ°è zÁR°¹ «ªÀgÀUÀ¼À£ÀÄß PÉÆæÃrüPÀj¹ WÉÆÃµÁégÉAiÀÄ£ÀÄß ¤ÃqÀ®Ä ¸ÀºÀ ¸ÀÆa¸À ÁVzÉ. »ÃUÉ ¥ÀºÀtÂAiÀÄ°è zÁR°¹zÀ É¼É «ªÀgÀUÀ¼À£ÀÄß sÀÆ«Ä vÀAvÁæA±ÀzÀ°è C¼ÀªÀr¹zÀ £ÀAvÀgÀ PÉÊ§gÀºÀzÀ WÉÆÃµÁégÉUÉ ªÀÄvÀÄÛ sÀÆ«Ä vÀAvÁæA±ÀzÀ

WÉÆÃµÁégÉAiÀÄÄ vÁ¼ÉAiÀiÁUÀ ÉÃPÁVgÀÄvÀÛzÉ.

UÁæªÀÄ ªÀÄlÖzÀ°è ªÀÄgÀÄºÉÆAzÁtÂPÉUÉÆ½¸À ÁzÀ F É¼É WÉÆÃµÁégÉ «ªÀgÀUÀ¼À£ÉßÃ ¥ÀæwAiÉÆAzÀÄ E¯ÁSÉUÀ¼ÀÆ vÀªÀÄä E¯ÁSÁ GzÉÝÃ±ÀUÀ½UÉ §¼À À ÉÃPÉAzÀÄ ¸ÀÄvÉÆÛÃ¯ÉUÀ¼À°è ¸ÀÆa¸À ÁVgÀÄvÀÛzÉ. UÁæªÀÄ ªÀÄlÖzÀ F WÉÆÃµÁégÉUÀ¼À£ÀÄß DzsÀj¹ DAiÀiÁ ºÉÆÃ§½ ªÁå¦ÛAiÀÄ PÀAzÁAiÀÄ ¤jÃPÀëPÀgÀÄ ºÉÆÃ§½ªÁgÀÄ ªÀgÀ¢ vÀAiÀiÁj¹zÀ £ÀAvÀgÀ vÁ®ÆèPÀÄ É¼É PÉëÃvÀæ ªÀÄgÀÄºÉÆAzÁtÂPÉ ªÀgÀ¢AiÀÄ£ÀÄß vÀºÀ²Ã¯ÁÝgï PÀZÉÃjAiÀÄ°è ¸ÁATåPÀ ¤jÃPÀëPÀgÀÄ PÉÆæÃrüÃPÀj¸ÀÄvÁÛgÉ. F ªÀgÀ¢AiÀÄ£ÀÄß vÀºÀ¹Ã¯ÁÝgÀgÀÄ CzsÀåPÀëgÁVgÀÄªÀ ªÀÄvÀÄÛ ¸ÀºÁAiÀÄPÀ PÀÈ¶ ¤zÉðÃ±ÀPÀgÀÄ, »jAiÀÄ ¸ÀºÁAiÀÄPÀ vÉÆÃlUÁjPÁ ¤zÉðÃ±ÀPÀgÀÄ, ¸ÀtÚ/ªÀÄzsÀåªÀÄ ºÁUÀÆ §ÈºÀvï ¤ÃgÁªÀj E¯ÁSÉAiÀÄ ¸ÀºÁAiÀÄPÀ PÁAiÀÄð¥Á®PÀ C©üAiÀÄAvÀgÀgÀÄ ªÀÄvÀÄÛ PÀ§Äâ C©üªÀÈ¢Þ C¢üPÁjUÀ¼ÀÄ ¸ÀzÀ ÀågÁVgÀÄªÀ vÁ®ÆèPÀÄ ¸À«ÄwAiÀÄ ¸À sÉAiÀÄ°è C£ÀÄªÉÆÃ¢¹ zÀÈrüÃPÀj¹zÀ ªÉÄÃ¯É ¸ÀzÀ Àå PÁAiÀÄðzÀ²ðAiÀÄªÀgÁzÀ ¸ÁATåPÀ ¤jÃPÀëPÀjAzÀ f¯Áè ¸ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ½UÉ ¸À°è¸À ÁUÀÄvÀÛzÉ. F ªÀgÀ¢UÉ f¯Áè¢üPÁjUÀ¼ÀÄ CzsÀåPÀëgÁVgÀÄªÀ dAn PÀÈ¶ ¤zÉðÃ±ÀPÀgÀÄ, vÉÆÃlUÁjPÁ G¥À¤zÉðÃ±ÀPÀgÀÄ, d®¸ÀA¥À£ÀÆä® E¯ÁSÉAiÀÄ f¯Áè ªÀÄlÖzÀ C¢üPÁjUÀ¼ÀÄ ¸ÀzÀ ÀågÁVgÀÄªÀ f¯Áè ªÀÄlÖzÀ ¸À«Äw ¸À sÉAiÀÄ°è C£ÀÄªÉÆÃzÀ£É ¥ÀqÉzÀÄ ¸ÀzÀ¸Àå PÁAiÀÄðzÀ²AiÀÄªÀgÁzÀ f¯Áè ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ¼ÀÄ ªÀgÀ¢AiÀÄ£ÀÄß gÁdå ªÀÄlÖPÉÌ ¸À°è¹gÀÄvÁÛgÉ. F f¯Áè ªÀgÀ¢UÀ¼À£ÀÄß DzsÀj¹ gÁdåzÀ ªÀgÀ¢ vÀAiÀiÁj¸À ÁUÀÄvÀÛzÉ. PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀåªÀ ÉÜUÉ EzÀÄ CvÀåAvÀ ¥ÀæªÀÄÄRªÁzÀ ªÀÄÆ® sÀÆvÀªÁzÀ PÁAiÀÄðPÀæªÀÄªÁVgÀÄvÀÛzÉ.

¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ ««zsÀ CAPÀtUÀ¼À «ªÀgÀ

ºÀPÀÄÌUÀ¼ÀÄ, UÉÃtÂ ªÀÄvÀÄÛ ¥ÀºÀtÂ ¥ÀwæPÉUÀ¼ÀÄ (Dgï.n.¹) «ªÀgÀUÀ¼ÀÄ PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀÄÄRå zÁR¯ÉUÀ¼ÁVzÀÄÝ, E°èAiÀÄ É¼É ªÀÄvÀÄÛ ¤ÃgÁªÀj «ªÀgÀUÀ¼ÀÄ ¸ÀPÁðgÀPÉÌ CUÀvÀå«gÀÄªÀ ªÀiÁ»wUÀ¼ÁVªÉ.

F «ªÀgÀUÀ¼À£ÀÄß ÀªÀÄ¥ÀðPÀªÁV zÁR°¸ÀÄªÀÅzÀÄ ªÀÄvÀÄÛ PÉÆæÃrüÃPÀj¸ÀÄªÀÅzÀÄ UÁæªÀÄ¯ÉPÁÌ¢üPÁjUÀ¼À ªÀÄÆ® ªÀÄvÀÄÛ DzÀå PÀvÀðªÀåªÁVzÉ.

¥ÀºÀtÂAiÀÄ°è IÄvÀÄªÁgÀÄ É¼É ªÀÄvÀÄÛ ¤ÃgÁªÀj «ªÀgÀUÀ¼À£ÀÄß ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ PÁ®A 12(9) jAzÀ 13 (16)gÀ ªÀgÉV£À PÁ®AUÀ¼À°è F PÀÄjvÀÄ PÀAzÁAiÀÄ E¯ÁSÉAiÀÄ sÀÆ«Ä ¸ÀÄvÉÆÛÃ¯É ¸ÀA:PÀAE:49:JADgïDgï 2003 ¢£ÁAPÀ: 16-04-2003 gÀ°è ¤ÃqÀ ÁVgÀÄªÀ ªÀiÁUÀð¸ÀÆZÀ£ÉUÀ¼À£ÀéAiÀÄ KPÀgÀÆ¥ÀªÁV AiÀiÁªÀÅzÉÃ £ÀÆå£ÀvÉUÀ¼À°èzÀAvÉ UÁææªÀÄ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ ªÀiÁ»w MzÀV¸ÀÄªÀÅzÀÄ PÀÈ¶ CAQ CA±ÀUÀ¼À ªÀåªÀ ÉÜAiÀÄ£ÀÄß GvÀÛªÀÄ¥Àr¸ÀÄªÀ°è CvÀåAvÀ ¥ÀæªÀÄÄRªÁzÀ ªÀÄÆ®¨sÀÆvÀªÁzÀ PÁAiÀÄðPÀæªÀÄªÁVgÀÄvÀÛzÉ.

108

1966 PÀ£ÁðlPÀ ¨sÀÆ PÀAzÁAiÀÄ ¤AiÀÄªÀÄUÀ¼À ªÉÄÃgÉUÉ PÀAzÁAiÀÄ E¯ÁSÉAiÀÄÄ PÀÈ¶UÉ ¸ÀA§A¢ü¹zÀ CAQ CA±ÀUÀ¼À£ÀÄß UÁæªÀÄ zÁR¯ÉAiÀiÁzÀ ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ°è ¸ÀAUÀæ»¸ÀÄwÛzÉ. PÀ£ÁðlPÀ ¸ÀPÁðgÀzÀ DzÉÃ±À ¸ÀASÉå Dgï.r.606:J.©r:59: ¢£ÁAPÀ 04.02.1961 gÀ ªÉÄÃgÉUÉ F »AzÉ §¼ÀPÉAiÀÄ°èzÀÝ ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ£ÀÄß PÉ®ªÀÅ §zÀ ÁªÀuÉUÀ¼ÉÆA¢UÉ, ºÀPÀÄÌ zÁR¯Áw UÉÃtÂzÁj ªÀÄvÀÄÛ É¼É vÀ¤SÉAiÀÄ zÀ ÁÛªÉÃdÄ (Record of Rights, Tenancy and Crop Inspection) JA§ ºÉ Àj£À°è, 1962-63gÀ PÀÈ¶ ªÀµÀð¢AzÀ PÀÈ¶ ªÀiÁ»wAiÀÄ£ÀÄß ¸ÀAUÀæ»¸À ÁUÀÄwÛzÉ.

ºÀPÀÄÌ zÁR¯Áw UÉÃtÂzÁj ªÀÄvÀÄÛ É¼É vÀ¤SÉAiÀÄ zÀ¸ÁÛªÉÃdÄ (¥ÀºÀtÂ ¥ÀwæPÉ) (Record of Rights, Tenancy and Crop Inspection )

§gÉAiÀÄ®Ä ªÀiÁUÀðzÀ±Àð£ÀUÀ¼ÀÄ

¸ÀPÁðgÀzÀ DzÉÃ±À £ÀA: Dgïr:606:J¯ï.©.r.59: ¢£ÁAPÀ:4.2.61gÀ ¥ÀæPÁgÀ ºÁ° ZÁ°ÛÛAiÀÄ°ègÀÄªÀ ¥ÀºÀtÂ vÀ:SÉÛAiÀÄ°è:

UÁæªÀÄ ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ sÀÆ MqÉvÀ£À ªÀÄvÀÄÛ UÉÃtÂUÉ ¸ÀA§A¢ü¹zÀ ªÀÄÄRåªÁzÀ «ªÀgÀUÀ¼À£ÀÄß C¼ÀªÀr¸À®Ä CªÀPÁ±À«gÀÄªÀ eÉÆvÉUÉ d«ÄÃ£ÀÄ G¥ÀAiÉÆÃUÀ, ¤ÃgÁªÀj ¥ÀæzÉÃ±À ªÀÄvÀÄÛ ±ÀÄzÀÞ ºÁUÀÆ «Ä±Àæ É¼ÉUÀ¼À MlÄÖ «¹ÛÃtð ¸ÀAUÀæ»¸À ÉÃPÁVgÀÄvÀÛzÉ.

MAzÀÄ d«ÄÃ¤£À »qÀÄªÀ½ M§âgÀzÁUÀ° CxÀªÁ dAn ªÀiÁ°ÃPÀvÀézÀ ¸ÀAzÀ sÀðzÀ°è ºÉaÑ£À d£ÀgÁUÀ° EzÀÝ°è ¥ÀºÀtÂAiÀÄ°è zÁR°¸À ÉÃPÁVgÀÄvÀÛzÉ. EAxÁ MAzÀÄ d«ÄÃ£ÀÄ MAzÀÄ ¸ÀA¥ÀÆtð ¸ÀªÉð £ÀA§gï DVgÀ§ºÀÄzÀÄ CxÀªÁ MAzÀÄ »¸Áì £ÀA§gÀÄ DVgÀ§ºÀÄzÀÄ. DzÀgÉ »¸Áì £ÀA§gÀÄ ºÀAUÁ«Ä CxÀªÁ SÁAiÀÄA ¸ÀgÀºÀzÀÄÝUÀ½AzÀ ÉÃ¥Àðr¸À®àlÄÖ M§â ªÀåQÛ CxÀªÁ MmÁÖgÉ ªÀåQÛUÀ¼À »qÀÄªÀ½UÉ ¸ÀA§AzsÀ¥ÀnÖgÀ ÉÃPÀÄ. ¥ÀæwAiÉÆAzÀÄ »¸ÉìUÉ ¥ÀævÉåÃPÀªÁzÀ ¥Àæ¥ÀvÀæzÀ°è ªÀiÁ»w ¤ÃqÀ ÁUÀÄvÀÛzÉ. »¸ÉìUÀ¼À£ÀÄß UÀÄgÀÄw¸À®Ä C£ÀÄPÀÆ®ªÁUÀÄªÀAvÉ ¸ÀªÉð £ÀA§j£À ªÀÄÄAzÉ CPÀëgÀUÀ¼À£ÀÄß F PÉ¼ÀUÉ PÀAqÀAvÉ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ.

22/C, 22/§, 43/1C, 43/1§ EzÀjAzÀ ¸ÀªÉð £ÀA§j£À°è EgÀÄªÀ »¸ÉìUÀ¼À ¸ÀASÉå UÀÄgÀÄw¸À §ºÀÄzÁVgÀÄvÀÛzÉ.

F ¥sÁgÀA£À°è ºÁ° EgÀvÀPÀÌ »qÀÄªÀ½zÁgÀ CxÀªÁ dAn »qÀÄªÀ½zÁgÀgÀ£ÀÄß CAzÀgÉ sÀÆ ªÀiÁ°PÀvÀézÀ ºÀPÀÌ£ÀÄß ¥ÀqÉ¢gÀÄªÀªÀgÀ£ÀÄß PÀ ÉÓzÁgÀ CxÀªÁ PÀ ÉÓzÁgÀgÉAzÀÄ PÀgÉAiÀÄ¯ÁUÀÄvÀÛzÉ.

»¸ÉìAiÀÄ£ÉßÃ PÀ¤µÀ× ¥ÀæªÀiÁtªÁVlÄÖPÉÆAqÀÄ ¥ÀºÀtÂAiÀÄ°è «ªÀgÀUÀ¼À£ÀÄß §gÉAiÀÄÄªÀÅzÀgÀ°è JgÀqÀÄ sÁUÀ ªÀiÁqÀ§ºÀÄzÀÄ.

1. §zÀ ÁªÀuÉUÀ½®èzÉ PÉ®ªÀÅ ªÀµÀð ºÁUÉÃ EgÀÄªÀ ªÀiÁ»wUÀ¼ÀÄ:- sÀÆ PÀAzÁAiÀÄ, ªÀÄtÂÚ£À vÀgÀºÀ, ¤ÃgÁªÀj ªÀÄÆ®UÀ¼ÀÄ, ¥Àæw ¤ÃgÁªÀj ªÀÄÆ®zÀ «ªÀgÀ, DAiÀÄPÀlÄÖ, ªÀÄgÀUÀ¼À ¸ÀASÉå, »qÀÄªÀ½zÁgÀgÀÄ, CªÀgÀ sÀÆ ¸Áé¢üÃ£À CxÀªÁ ªÀiÁ°PÀvÀé «ªÀgÀ.

2. ¥Àæw IÄvÀÄ«£À®Æè §zÀ ÁªÀuÉ ºÉÆAzÀÀvÀPÀÌ ªÀiÁ»wUÀ¼ÀÄ: UÉÃtÂ «ªÀgÀUÀ¼ÀÄ, ¤UÀ¢vÀ sÀÆ ªÀVÃðPÀgÀtzÀ «ªÀgÀUÀ¼ÀÄ, »¸ÉìAiÀÄ°è ÉÃgÉ ÉÃgÉ ¥sÀ À®Ä É¼É É¼É¢gÀÄªÀ «¹ÛÃtð, ZÁ°Û §AdgÀÄ ªÀÄvÀÄÛ EvÀgÉ §AdgÀÄ ªÀÄvÀÄÛ ÉÃgÉ ¨ÉÃgÉ ªÀÄÆ®UÀ½AzÀ ¤ÃgÁªÀjAiÀiÁUÀvÀPÀÌ «ªÀgÀUÀ¼ÀÄ.

109

F ¥Àæ¥ÀvÀæzÀ°è (Dgï.n.¹)£À°è 1 jAzÀ 11£ÉÃ PÁ®AUÀ¼ÀÄ ªÉÆzÀ®£É §UÉAiÀÄ «ªÀgÀªÀ£ÀÄß 12 ªÀÄvÀÄÛ 13£ÉÃ PÁ®AUÀ¼À°è JgÀqÀ£ÉÃ §UÉAiÀÄ «ªÀgÀ MzÀV¸ÀÄªÀÅzÀPÁÌV EgÀÄvÀÛzÉ.

MAzÀÄ ªÉÃ¼É PÉ®ªÀÅ ±Á±ÀévÀªÁzÀ CxÀªÁ §zÀ¯ÁªÀuÉUÉ M¼À¥ÀnÖgÀÄªÀAvÀ ªÀiÁ»wAiÀÄÄ PÁ®A 1 jAzÀ 11gÀ ªÀgÉUÉ §gÉ¢gÀÄªÀÅzÀgÀ°è J£ÁzÀgÀÆ §zÀ ÁªÀuÉ DzÁUÀ CªÀÅUÀ¼À£ÀÄß CzÉÃ ¥Àæ¥ÀvÀæUÀ¼À°è §zÀ ÁªÀuÉ ªÀiÁqÀ§ºÀÄzÀÄ. CAxÁ ¸ÀAzÀ sÀðUÀ¼ÀÄ ºÉaÑUÉ §gÀÄªÀ ¸ÀA sÀÀÀªÀ«gÀÄªÀÅ¢®è.

PÁ®A 1 jAzÀ 11 gÀªÀgÉV£À ªÀiÁ»wAiÀÄ «ªÀgÀ: ¥Àæ¥ÀvÀæzÀ ªÉÄÃ¯ÁãUÀzÀ°è vÁ®ÆèPÀÄ ªÀÄvÀÄÛ UÁæªÀÄzÀ ºÉ ÀgÀÄ: UÁæªÀÄzÀ ºÉ Àj£À ªÀÄÄA¢£À ¨ÁæPÉnÖ£À°è d£ÀUÀtwAiÀÄ PÁ®zÀ°è ¸ÁAPÉÃwPÀªÁV PÉÆlÖ PÉÆÃqï £ÀA§gï £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

¥ÀæwAiÉÆAzÀÄ ¥ÀºÀtÂ ¥ÀwæPÉUÉ ¥ÉÃeï £ÀA§gÀ£ÀÄß ªÉÄÃ¯ÁãUÀzÀ°è CzÀPÉÆÌÃ¸ÀÌgÀªÉÃ PÉÆnÖgÀvÀPÀÌ eÁUÀzÀ°è zÁR°¸À ÁUÀÄvÀÛzÉ. ¥ÀæwAiÉÆAzÀÄ ¸ÀªÉð £ÀA§gÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ »¸Áì £ÀA§gÀÄUÀ¼À §UÉÎ «ªÀgÀUÀ¼À£ÀÄß §gÉzÀÄ ¨sÀwð ªÀiÁr ¥ÀÄ¸ÀÛPÀzÀAvÉ eÉÆÃr¹zÀ £ÀAvÀgÀªÉÃ ¥ÉÃdÄ £ÀA§gÀÄUÀ¼À£ÀÄß PÉÆqÀ ÁUÀÄvÀÛzÉ.

MAzÀ£ÉÃ LlA£À°è ¸ÀªÉð £ÀA§gÀÄ JAzÀÄ §gÀºÀ EzÉ. ¸ÀªÉð ªÀiÁå¥ÀÄ (£ÀPÁ±É) SÉÃvÁéj£À°è ¥ÀæwAiÉÆAzÀÄ d«ÄÃ¤UÀÆ F ¸ÀªÉð £ÀA§gÀ£ÀÄß PÉÆnÖgÀÄvÀÛzÉ. F ¸ÀªÉð £ÀA§gÀÄ J®èPÀÆÌ CxÀªÁ »¸Áì £ÀA§jUÉ M§â£ÉÃ ªÀiÁ°ÃPÀ£ÁVzÀÝ°è CxÀªÁ M§â£À »qÀÄªÀ½UÉÃ ¸ÉÃjzÀÝ°è CxÀªÁ dAn »qÀÄªÀ½zÁgÀgÁV PÉ®ªÀjzÀÝ°è CAvÀºÀ ªÀåQÛ CxÀªÁ ªÀåQÛUÀ¼À ºÉ ÀgÀÄ, ºÉ ÀgÀÄUÀ¼À£ÀÄß 9£ÉÃ PÁ®A£À°è PÀ ÉÓzÁgï JAzÀÄ PÁtÂ¹gÀÄªÀ°è §gÉAiÀÄ ÉÃPÀÄ. PÀ ÉÓzÁgï JAzÀ°è SÁvÉÃzÁgï JAzÀÄ w½AiÀÄ ÉÃPÀÄ. ºÁUÀ®èzÉ, ¸ÀªÉð £ÀA§gÀÄ CxÀªÁ »¸Áì £ÀA§j£À°è M§âjVAvÀ ºÉZÀÄÑ PÀ ÉÓzÁgÀgÀÄ ¥ÀævÉåÃPÀªÁzÀ »¸ÉìUÉ ºÀPÀÄÌzÁgÀgÁVzÀÝ°è ¥Àæw »¸Áì £ÀA§jUÀÆ ¥ÀævÉåÃPÀ ¥À¥ÀvÀæ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ÉÃgÉ ÉÃgÉ PÀ ÉÓzÁgÀgÀÀ »¸ÉìAiÀÄ£ÀÄß ¸ÀªÉð £ÀA§j£À°è UÀÄgÀÄw¸À®Ä C£ÀÄPÀÆ°¸ÀÄªÀAvÉ ÉÃgÉ ÉÃgÉ ¸ÉÌZï ¥ÀÄ¸ÀÛPÀzÀ°è ¸ÉÌZïÑ£ÀÄß vÀAiÀiÁj¸À ÁUÀÄvÀÛzÉ. ¥Àæw »¸ÉìUÀÆ C. §. PÀ. qÀÀ. ¥sÀ....... JA§ CPÀëgÀUÀ¼À£ÀÄß PÉÆqÀ ÁUÀÄvÀÛzÉ.

¸ÀªÉð £ÀA§gÀÄ 1£ÉÃ LlA£À°è `C’ JA§ »¸ÉìUÉ ¸ÀA§AzsÀ¥ÀlÖzÁzÀ°è 2£ÉÃ LlA£À°è `C’ JAzÀÄ £ÀªÀÄÆ¢¸À ÉÃPÀÄ. F ¥Àæ¥ÀvÀæzÀÀ°è £ÀªÀÄÆ¢¸ÀÄªÀ «ªÀgÀªÉ Áè CzÀPÉÌ ¸ÀA§AzsÀ¥ÀlÖzÁÝVgÀÄvÀÛzÉ.

ªÀÄÆgÀ£ÉÃ LlA ¸ÀªÉð £ÀA§gÀÄ CxÀªÁ »¸Áì £ÀA§j£À MlÆÖ «¹ÛÃtðPÉÌ ¸ÀA§AzsÀ¥ÀlÖzÁÝVgÀÄvÀÛzÉ. EzÀgÀ°è ¥ÀÄmïRgÁ¨ï ªÀÄvÀÄÛ ¸ÁUÀÄªÀ½UÉÉ AiÉÆÃUÀåªÁzÀ d«ÄÃ£ÀÄUÀ¼À «¹ÛÃtð SÉÃvÁéj£À°ègÀÄªÀAvÉ £ÀªÀÄÆ¢¸À ÁVgÀÄvÀÛzÉ. gÁdåzÀ ºÀ¼ÉÃ ÉÆA¨Á¬Ä ¥ÀæzÉÃ±ÀzÀ°è ¥ÀÄmïRgÁ¨ï JAzÀÄ ¥ÀævÉåÃPÀªÁV JgÀqÀÄ §UÉAiÀÄzÀÄ JAzÀÄ «AUÀqÀuÉ ªÀiÁrzÁÝgÉ. ªÉÆzÀ®£É §UÉÉ JA¢UÀÆ ¸ÁUÀÄªÀ½UÉÉ AiÉÆÃUÀåªÀ®èzÀ §AdgÀÄ, JgÀqÀ£ÉAiÀÄ §UÀÉ ¸ÀªÉð ¸Él¯ïªÉÄAmï PÁ®zÀ°è ¸ÁUÀÄªÀ½UÉ AiÉÆÃUÀåªÀ®èªÉAzÀÄ ¤zsÀðj¸À®àl ¥ÀæzÉÃ±À. ¸ÀªÉð PÁ®zÀ°è ¸ÁªÀðd¤PÀ gÀ ÉÛ, ºÀ¼Àî, CxÀªÁ PÉgÉAiÀÄ Kj: EvÁå¢AiÀiÁVgÀ§ºÀÄzÀÄ. DzÀPÁgÀt SÉÃvÁéj£À°è EªÀgÉqÀÄ §UÉAiÀÄ ¥sÀÄmïRgÁ¨ï «¹ÛÃtð ¥ÀævÉåÃPÀªÁV PÁtÂ¹zÀÝ°è CªÀÅUÀ¼À£ÀÄß ¥sÀÄmïRgÁ¨ï (C) ªÀÄvÀÄÛ ¥sÀÄmïRgÁ¨ï (§) JAzÀÄ §gÉAiÀÄ¯ÁVzÉ.

PÉ®ªÀÅ ¸ÀAzÀ sÀðUÀ¼À°è MAzÀÄ » Éì MlÄÖ «¹ÛÃtð EµÉÖÃ JAzÀÄ UÉÆvÁÛUÀÄªÀÅ¢®è. JvÀPÉÌAzÀgÉ ÉÃgÉ ÉÃgÉ »qÀÄªÀ½zÁgÀgÀÄ vÀªÀÄä vÀªÀÄä sÁUÀ C¼ÀvÉ ªÀiÁr¹PÉÆAqÀÄ «AUÀqÀ£É

ªÀiÁr¹PÉÆArgÀÄªÀÅ¢®è. CAvÀºÀªÀgÀÄ vÀªÀÄä vÀªÀÄä sÁUÀ CAzÁdÄ ªÉÄÃ¯É ¤±ÀÑ¬Ä¹PÉÆArgÀÄvÁÛgÉ. CAvÀºÀ ¸ÀAzÀ sÀðUÀ¼À°è PÀ ÉÓzÁgÀgÀ CtÂªÁj sÁUÀ CxÀªÁ ¥Á®£ÀÄß UÀt£ÉUÉ vÉUÉzÀÄPÉÆ¼Àî ÉÃPÁUÀÄvÀÛzÉ.

110

ºÉÃUÉAzÀgÉ GzÁºÀgÀuÉUÁV C JA§ » Éì sÁUÀ £Á¯ÁÌuÉAiÀiÁzÀgÉ MlÄÖ ¸ÀªÉð CxÀªÁ ¸À ï ¸ÀªÉð £ÀA§j£À «¹ÛÃtð 8 JPÀgÉAiÀiÁzÀgÉ DUÀ C »¸ÉìAiÀÄ «¹ÛÃtð 2 JPÀgÉ JAzÀÄ ¤zsÀðj¯ÁUÀÄvÀÛzÉ.

LlA 4 (C) £À°è PÀ ÉÓzÁgÀ£ÀÄ ¯ÉPÁÌZÁgÀªÁV PÉÆqÀvÀPÀÌ CxÀªÁ PÉÆlÖ PÀAzÁAiÀÄªÀ£ÀÄß £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ. EzÀ®èzÉ dÆr ªÀUÉÊgÉUÀ¼À£ÀÄß 4(D)£À°è §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. SÉvÁéj£À°è PÁtÂ ÀzÀ ¸É ÀÄìUÀ¼ÀzÀÝ°è CªÀÅUÀ¼À£ÀÄß 4 (zÀ) £À°è ªÀÄvÀÄÛ ªÁlgï gÉÃmï «ªÀgÀUÀ¼À£ÀÄß 4 (qÀ) £À°è MzÀV¸À ÁUÀÄvÀÛzÉ.

LlA 5gÀÀ°è ªÀÄtÂÚ£À «AUÀqÀuÉAiÀÄ£ÀÄß vÉÆÃj¸À ÉÃPÀÄ. ªÀÄtÄÚ EªÀÅUÀ¼À°è AiÀiÁªÀÅzÁzÀgÀÆ DVgÀ§ºÀÄzÀÄ.

1. eÉÃr Clay

2. eÉÃr «Ä±Àæ Clay loam

3. fUÀlÄ Loam

4. ªÀÄgÀ¼ÀÄ «Ä±Àæ Sandy Loam

5. ªÀÄgÀ¼ÀÄ Sandy

6. PÉAUÀ®Ä Red soil

ªÀÄtÂÚ£À §tÚªÀ£ÀÄß ªÉÆzÀ®Ä F jÃw §gÉAiÀÄ ÉÃPÀÄ. PÀ¥ÀÄà §tÚzÀ (JgÉ) eÉÃrªÀÄtÄÚ, PÉA¥ÀÄ eÉÃr, ©½ eÉÃr. ¸ÀÜ½ÃAiÀÄªÁV F ªÀÄtÚ£ÀÄß PÀgÉAiÀÄÄªÀ ¥ÀzÀUÀ¼À£ÉßÃ G¥ÀAiÉÆÃV¸À ÉÃPÁVgÀÄvÀÛzÉ.

LlA 6 gÀÀ°è ¸ÀPÁðgÀPÀÆÌ ªÀÄvÀÄÛ d«ÄÃ£ÁÝgÀ¤UÀÆ ( sÀÆ ªÀiÁ°PÀgÀÄ) EgÀÄªÀ ¸ÀA§AzsÀ ¸ÀÆa¸À ÁVgÀÄvÀÛzÉ. d«ÄÃ¤UÉ ¥ÀmÉÖ EzÀÝ°è CxÀªÁ E£ÁA JA¢zÀÝ°è D jÃw ¸ÀàµÀÖ¥ÀqÀÄªÀAvÉ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. d«ÄÃ¤UÉ ¥ÀmÉÖAiÀiÁUÀ° CxÀªÁ E£ÁA JAzÀÄ ¥ÀjUÀtÂ À ÁUÀ¢zÀÝ°è CªÀ£ÀÄß ¸ÀPÁðj d«ÄÃ£ÀÄ JAzÀÄ sÁ«¹ CªÀÅUÀ¼ÀÄ ¤ªÉÃ±À£ÀªÉÃ ªÀÄÄAvÁzÀªÀÅUÀ¼À£ÀÄß §gÉAiÀÄ¯ÁVzÉ.

LlA 7£ÉÃ sÁUÀzÀ°è ¥sÀ®©qÀvÀPÀÌ ªÀÈPÀëUÀ¼ÀÄ ªÀÄvÀÄÛ EvÀgÉ É É ¨Á¼ÀvÀPÀÌ ªÀÄgÀUÀ¼ÀÄ »¸ÉìAiÉÆ¼ÀVzÀÝ°è CªÀÅUÀ¼À £ÀA§gïUÀ¼À£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. C¯ÉÆèAzÀÄ E¯ÉÆèAzÀÄ EgÀÄªÀ ©r ªÀÄgÀUÀ¼À£ÀÄß PÉëÃvÀæzÀ°è £ÀªÀÄÆ¢¸À®Ä ¸ÁzsÀå«gÀ¢zÀÝgÉ CzÀ£ÀÄß ªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄ°è ªÀiÁvÀæ £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ. PÁ®A 12(9) jAzÀ 13(16) gÀ°è PÉëÃvÀæzÀ°è M¼ÀUÉÆArgÀÄªÀ ªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß E°è £ÀªÀÄÆ¢¸À ÁVgÀÄªÀÅ¢®è.

LlA 8£ÉÃ sÁUÀzÀ°è ¤ÃgÁªÀj ªÀÄÆ®UÀ¼À «ªÀgÀUÀ¼À£ÀÄß CAzÀgÉ ¤ÃgÁªÀjAiÀiÁUÀvÀPÀÌ ¥ÀæzÉÃ±ÀUÀ¼ÀÄ, ¤ÃgÁªÀj ªÀÄÆ®UÀ¼À£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ¸ÀPÁðj £Á¯ÉUÀ¼ÀÄ, SÁ¸ÀV £Á¯ÉUÀ¼ÀÄ, PÉgÉUÀ¼ÀÄ ¨Á«UÀ¼ÀÄ, PÉÆ¼ÀªÉ ¨Á«UÀ¼ÀÄ ªÀÄvÀÄÛÛ EvÀgÉ §UÉAiÀÄªÀÅ, EªÀÅUÀ¼À°è AiÀiÁªÀÅzÁzÀgÀÆ ªÀÄÆ®UÀ½UÉ ¥ÀA¥ÀÄUÀ¼À£ÀÄß ºÁQzÀÝ°è CªÀÅUÀ¼À£ÀÄß £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ. ¥ÀæwAiÉÆAzÀÄ ¤ÃgÁªÀj ªÀÄÆ®¢AzÀ JµÀÄÖ ¥ÀæzÉÃ±ÀPÉÌ ¤ÃgÁªÀjAiÀiÁUÀÄvÀÛzÉAiÉÄAzÀÄ £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ. SÉÃvÁéj£À°è F ¤ÃgÁªÀj ªÀÄÆ®UÀ¼ÀÄ AiÀiÁªÀÅzÁzÀgÉÆAzÀÄ IÄvÀÄ«£À°è ªÀiÁvÀæ ¤ÃgÁªÀjAiÀÁUÀÄªÀÅzÉAzÀÄ £ÀªÀÄÆ¢¹zÀÝ°è D «ªÀgÀUÀ¼À£ÀÄß DAiÀiÁ PÁ®A£À°è §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. AiÀiÁªÀÅzÁzÀgÀÆ ªÀÄÆ®¢AzÀ sÁUÁAiÀÄvÀÄ CxÀªÁ vÉÆÃlPÉÌ ªÀiÁvÀæ ¤ÃgÁªÀj AiÀiÁUÀÄªÀÅ¢zÀÝ°è CAxÁ «¹ÛÃtð D PÁ®A£À°è §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. PÉgÉ CxÀªÁ £Á¯ÉAiÀÄ ¤Ãj£À ªÀÄÆ®ªÁVzÀÝ°è CAxÁ PÉgÉ CxÀªÁ £Á¯É ºÉ ÀgÀ£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ¤ÃgÁªÀj ªÀÄÆ®ªÀÅ »¸Éì /¸ÀªÉð £ÀA§gï£À°è E®èzÀ ¥ÀPÀëzÀ°è AiÀiÁªÀ ¸ÀªÉð £ÀA§gÀÄ CxÀªÁ »¸ÉìAiÀÄ°è EzÉAiÉÆÃ

111

D £ÀA§gÀ£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. »¸ÉìAiÀÄ°ègÀvÀPÀÌ ¥ÀæzÉÃ±À MAzÀQÌAvÀ ºÉZÀÄÑ ªÀÄÆ®¢AzÀ ¤ÃgÁªÀjAiÀiÁUÀÄªÀÅ¢zÀÝ°è ªÀÄvÀÄÛ CAvÀºÀªÀÅUÀ¼À£ÀÄß ¥Àæw ªÀÄÆ®PÉÌÉ ¸ÀA§A¢ü¹zÀAvÉ ¥ÀævÉåÃPÀ «ªÀgÀ PÉÆqÀ ÁUÀ¢zÀÝ°è – CªÀÅUÀ½AzÀ ¤ÃgÁªÀjAiÀiÁUÀvÀPÀÌ MlÄÖ «¹ÛÃtð ¨ÁæPÉmï£À°è £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ.

LlA 9£ÉÃ sÁUÀzÀ°è F ²gÉÆÃ£ÁªÉÄ ¸ÀÆa¹gÀÄªÀAvÉ PÀ ÉÓzÁgÀ£À ºÉ ÀgÀ£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. »qÀÄªÀ½zÁgÀ£ÉAzÀgÉ ¸ÁUÀÄªÀ½zÁgÀ£À®èzÉ £ÉÃgÀªÁV d«ÄÃ¤£À ¸Áé¢üÃ£ÀªÀ£ÀÄß ºÉÆA¢gÀÄªÀªÀ£ÀÄ. DzÀ PÁgÀt CªÀ£ÉÃ d«ÄÃ¤£À ªÀiÁ°PÀ CAzÀgÉ d«ÄÃ£À£ÀÄß ¸ÁUÀÄ ªÀiÁqÀÄvÁÛ£É CxÀªÁ CªÀ£ÉÃ ¸ÁUÀÄ ªÀiÁqÀ¢zÀÝ°è UÀÄvÁÛÛ ªÀUÉöÊgÉ ¥Àæw¥sÀ® ¥ÀqÉAiÀÄÄvÁÛ£É.

PÀ ÉÓzÁgÀ£À vÀAzÉAiÀÄ ºÉ ÀgÀÄ, CªÀ¤UÉÃ£ÁzÀgÀÆ gÀÆrüAiÀÄ°è ÉÃgÉ ºÉ Àj¤AzÁ (CqÀØ ºÉ ÀgÀÄ) PÀgÉAiÀÄÄwÛzÀÝgÉ CzÀ£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ºÉ Àj£À PÉ¼ÀUÉ ªÁ¸À ÀÜ¼À PÁtÂ À ÁUÀÄvÀÛzÉ. ªÀÄzÀÄªÉAiÀiÁzÀ ºÉAUÀ¹£À UÀAqÀ£À ºÉ ÀgÀÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ ºÉÆgÀvÀÄ vÀAzÉ ºÉ ÀgÀ®è. PÀ ÉÓzÁgÀ£ÀÄ ªÉÄÊ£Àgï DVzÀÝ°è ªÁ¸À ÀÜ¼ÀzÀ PÉ¼ÀUÉ ªÉÄÊ£Àgï JAzÀÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. »AzÀÆ C« sÀPÀÛ PÀÄlÄA§zÀ°è ªÀÄÄRå¸ÀÜ£À ºÉ ÀgÀ£ÀÄß `C« sÀPÀÛ’ PÀÄlÄA§zÀ ªÀåªÀ ÁÜ¥ÀPÀgÀÄ JAzÀÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. dAn ¥Á®ÄzÁgÀgÀÄUÀ½zÀÝ°è CªÀgÀ ºÉ ÀgÀÄUÀ¼À£ÀÄß MAzÀgÀ PÉ¼ÀUÉ MAzÀgÀAvÉ CªÀgÀªÀgÀ sÁUÀ JµÉÖA§ÄzÀ£ÀÄß £ÀªÀÄÆ¢¸À ÁUÀÄvÀÛzÉ.

EzÉÃ jÃwAiÀiÁV dAn C£ÀÄ sÀªÀzÁgÀgÀ «µÀAiÀÄzÀ°è C£Àé¬Ä¸ÀÄvÀÛzÉ. d«ÄÃ£À£ÀÄß PÀæªÀÄªÁV «AUÀqÀuÉ ªÀiÁrgÀÄªÀÅ¢®è. DzÀgÉ M§â CxÀªÁ ºÉaÑ£À ¸ÁUÀÄªÀ½zÁgÀjgÀÄvÁÛgÉ CxÀªÁ AiÀiÁgÁzÀgÀÆ dAn »qÀÄªÀ½zÁgÀgÉÃ ¸ÁUÀÄªÀiÁqÀÄvÁÛgÉ.

E£ÁA d«ÄÃ£ÀÄUÀ¼À «µÀAiÀÄzÀ®Æè RÄzÀÄÝ d«ÄÃ£ÀÄ ªÀ±ÀzÀ°ègÀÄªÀªÀgÀ ºÉ ÀgÀ£ÀÄß PÁtÂ À ÁUÀÄvÀÛzÉ. CAxÁ d«ÄÃ£ÀÄ ¥ÀmÉÖ CxÀªÁ E£ÁA CzÀgÀÆ zsÁ«ÄðPÀ ¸ÀA¸ÉÜUÉÆÃ¸ÀÌgÀ PÉÆnÖzÀÝ°è CAxÁ ¸ÀA¸ÉÜ ºÉ ÀgÀ£ÀÄß PÀ ÉÓzÁgÀgÀ ºÉ ÀgÀÄ §gÉAiÀÄÄªÀ°è §gÉzÀÄ CzÀgÀ DqÀ½vÀ ¤ªÀðºÀuÉUÉ dªÁ¨ÁÝgÀgÁzÀªÀgÀ ºÉ ÀgÀÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ.

sÉÆÃUÀåzÀ ¸ÀAzÀ sÀðzÀ°è sÉÆÃUÀåzÁgÀ£À ¸Áé¢üÃ£ÀPÉÌ PÁ¯ÁªÀ¢ü ¤±ÀÑ¬Ä¸ÀzÉ ©nÖzÀÝ°è CªÀ£À ºÉ ÀgÀ£ÀÄß 9£ÉÃ PÁ®A£À°è §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ¸ÀévÀÛ£ÀÄß ¸Áé¢üÃ£ÀPÉÆqÀzÀ sÉÆÃUÀåzÀ ¸ÀAzÀ sÀðUÀ¼À°è CxÀªÁ PÉ®ªÀÅ UÉÆvÁÛzÀ ªÀµÀðUÀ¼À ªÀgÉUÉ ¨ÉÆÃUÀåzÀ CªÀ¢ü EzÀÝ°è sÉÆÃUÀå ªÀiÁrzÀªÀ£ÉÃ PÀ ÉÓzÁgÀ£ÁVgÀÄvÁÛ£É.

LlA 10 gÀ°è sÉÆÃUÀåªÁVzÉ JAzÀÄ µÀgÁ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. «¯ÉÃªÁjAiÀiÁUÀzÀ ªÀÄvÀÄÛ ¸ÀPÁðj d«ÄÃ£ÀÄUÀ¼À£ÀÄß 9£ÉÃ LlA£Àè° `¸ÀPÁðj’ JAzÉÃ PÁtÂ À ÁUÀÄvÀÛzÉ.

10£ÉÃ LlA£À°è »qÀÄªÀ½zÁgÀ£À ºÀQÌ£À ¸Àé sÁªÀ CAzÀgÉ ¥ÀnÖ, ¥Á®Ä ¥ÁjPÀvÀÄÛ, PÀæAiÀÄ, zÁ£À, sÉÆÃUÀå, ºÀPÀÄÌzÁgÀ£ÀÄ ¥ÀqÉzÀÄzÁVgÀ§ºÀÄzÁzÀ PÀæAiÀÄ, zÁ£À, ¥Á®Ä ªÀÄÄAvÁzÀ jÃwAiÀÄ°è ºÀPÀÄÌ ºÉÃUÉ

§A¢vÀÄÛ JA§ÄzÀ£ÀÄß CzÀµÀÄÖ ¸ÀAQë¥ÀÛªÁV w½¸À ÁUÀÄvÀÛzÉ. §gÀªÀtÂUÉ¬ÄAzÀ ªÀåªÀºÁgÀPÉÌ jf¸ÀÖçgÁzÀ CxÀªÁ PÁUÀzÀ PÀæAiÀÄ¥ÀvÀæzÀ DzsÁgÀ«zÉAiÉÄ JAzÀÄ w½AiÀÄÄªÀAwgÀÄvÀÛzÉ. AiÀiÁjAzÀ F ºÀPÀÌ£ÀÄß JµÀÄÖ ªÉÆ§°UÉ ¥ÀqÉAiÀÄ¯Á¬ÄvÀÄ JA§ÄzÀ£ÀÄß w½¸À ÁUÀÄvÀÛzÉ. MAzÀÄ ªÉÃ¼É ¹«¯ï PÉÆÃmïð CqÀðgï CxÀªÁ rQæ ªÀÄÆ®PÀ ¸ÀévÀÄÛ ¸Áé¢üÃ£À ¥ÀqÉ¢zÀÝ°è CAxÁ PÉÆÃnð£À ºÉ ÀgÀÄ rQæ £ÀA§gÀÄ ªÀÄvÀÄÛ vÁjÃRÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ºÀPÀÄÌ ºÉÃUÉ §AvÀÄ JAzÀÄ ¤zsÀðj¸À®Ä PÀæAiÀÄ ¥ÀvÀæ ªÀUÉÊgÉ zÁR¯ÁwUÀ¼ÀÄ E®èªÁzÀ°è ºÀPÀÄÌ UÉÆwÛ¯Áè JAzÀÄ §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ¸ÀAPÉëÃ¥ÀzÀ°è LlA 10 gÀ°è »qÀÄªÀ½zÁgÀ¤UÉ d«ÄÃ£ÀÄ AiÀiÁªÀ jÃw §AvÀÄ JA§ÄzÀ£ÀÄß PÁtÂ À ÁUÀÄvÀÛzÉ.

11£ÉÃ LlA£À°è EvÀgÉ ºÀPÀÄÌUÀ¼À §UÉÎ ¥ÀnÖ ªÀiÁqÀÄªÀÅzÁVzÉ. CªÀÅUÀ¼À°è PÉ®ªÀÅ PÁ£ÀÆ£ÀÄ jÃvÁå ¥ÀqÉzÀÄPÉÆ¼ÀÄîªÀ CxÀªÁ C£ÀÄ sÀªÀzÀ §UÉAiÀÄ ºÀPÀÄÌUÀ¼ÁVªÉ.

112

ªÉÆzÀ®Ä ¸ÁUÀÄªÀ½zÁgÀ£À ºÀPÀÌ£ÀÄß UÀªÀÄ¤¸À ÉÃPÀÄ. CªÀ£À ºÉ ÀgÀÄ ªÀÄvÀÄÛ ¸ÁUÀÄªÀ½ «ªÀgÀ PÁtÂ À ÁUÀÄvÀÛzÉ. C£ÀAvÀgÀ ¤ÃgÀÄ ªÀÄvÀÄÛ ªÀÄgÀUÀ¼À ºÀPÀÄÌ §gÀÄªÀÅzÀÄ. d«ÄÃ¤£À°ègÀvÀPÀÌ ¨Á«UÉ AiÀiÁgÀÄ AiÀiÁjUÉ JµÀÄÖ ºÀQÌzÉ JA§ÄzÀ£ÀÄß §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ. ªÀÄgÀUÀ¼À «ZÁgÀzÀ°èAiÀÄÆ EzÉÃ PÀæªÀÄ C£ÀÄ¸Àj¸À ÁUÀÄvÀÛzÉ. ÉÃgÉ ºPÀÄÌ CxÀªÁ ¥ÀgÀjUÉ EgÀvÀPÀÌ C¢üPÁgÀ PÉ¼ÀV£À jÃwAiÀÄ°ègÀ§ºÀÄzÁVzÉ.

1. ¸ÀévÀÄÛ ¸Áé¢üÃ£À«®èzÀ sÉÆÃUÀå DzsÁgÀ

2. vÀPÁ« CxÀªÁ PÉÆÃ C¥ÀgÉÃnªï ¸ÉÆ¸ÉÊn ¸Á®

3. dÄzÁ¤ PÀæAiÀÄ CxÀªÁ zÁ£À, ¸ÀévÀÄÛ ¸Áé¢üÃ£À«®èzÉ

4. ªÀÄgÀt±Á¸À£À («¯ï, G¬Ä®Ä)

5. ¹«¯ï PÉÆÃmïð rQæ ªÀÄÄSÉÃ£À ¸ÁÜ¦¸À§ºÀÄzÁzÀ, ºÀÆqÀ§ºÀÄzÁzÀ fÃªÀ£ÁA±ÀzÀ ºÀPÀÄÌ

6. ¹«¯ïPÉÆÃlÄð rQæ – eÁj

7. ÉÃgÁªÀ jÃwAiÀiÁzÁzÀgÀÆ ºÀPÀÄÌ

¸ÁªÀðd¤PÀjUÉ zÁj, gÀ ÉÛ, EªÀÅUÀ¼À°ègÀÄªÀ ºÀPÀÄÌ ªÀÄvÀÄÛ ¸ÀPÁðgÀzÀ ºÀPÀÄÌ EzÀÝ°è §gÉAiÀÄ¯ÁUÀÄvÀÛzÉ.

¸ÁUÀÄªÀ½ ªÀÄvÀÄÛ UÉÃtÂ «ªÀgÀ

¥ÀºÀtÂAiÀÄ LlA 12 ªÀÄvÀÄÛ 13 gÀ MlÄÖ 16 PÁ®AUÀ¼À°è sÀÆ-G¥ÀAiÉÆÃUÀ ªÀÄvÀÄÛ É¼ÉUÀ½UÉ ¸ÀA§A¢ü¹zÀAvÉ «ªÀgÀªÁV ªÀiÁ»w ¸ÀAUÀæ»¹ zÁR°¸À ÉÃQzÉ. ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ 12(1)-13(16) PÁ®AUÀ¼ÀÄ F PÉ¼ÀV£ÀAwªÉ

LlA 12: ¸ÁUÀÄªÀ½ ªÀÄvÀÄÛ UÉÃtÂAiÀÄ «ªÀgÀUÀ¼ÀÄ

ªÀµÀð ªÀÄvÀÄÛ PÁ®

ªÀåªÀ ÁAiÀÄUÁgÀ£À ºÉ ÀgÀÄ ªÀÄvÀÄÛ ªÁ¸À ÀÜ¼À

¸ÁUÀÄªÀ½ ¥ÀzÀÝw

UÉÃtÂAiÀÄ «ªÀgÀ sÀÆ«ÄAiÀÄ G¥ÀAiÉÆÃUÀ RÄ¶Ì, vÀj, sÁUÁAiÀÄÄÛ «¹ÛÃtð

UÀÄwÛUÉ ªÀUÀð «¹ÛÃtð

J UÀÄA J UÀÄA

1 2 3 4 5 6 7 8

LlA 13: sÀÆ«ÄAiÀÄ G¥ÀAiÉÆÃUÀ ªÀÄvÀÄÛ É¼ÉUÀ¼À «ªÀgÀ

É¼ÉAiÀÄ ºÉ ÀgÀÄ

É¼ÉAiÀÄ «¹ÛÃtð ¤ÃgÁªÀjAiÀÄ

ªÀÄÆ® JPÀgÉUÉ GvÀàwÛ

«Ä±Àæ É¼ÉUÀ¼À MlÄÖ

C«Ä±Àæ «Ä±Àæ MlÄÖ «Ä±ÀætzÀ ºÉ ÀgÀÄ

«¹ÛÃtð

J UÀÄA

9 10 11 12 13 14 15 16

113

¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ PÁ®A 1 gÀ°è ªÀµÀð ºÁUÀÆ PÁ® £ÀªÀÄÆ¢¸À ÉÃPÀÄ. PÁ® JAzÀgÉ IÄvÀÄ. EªÀÅUÀ¼ÀÄ ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ, «¼ÀA§ ªÀÄÄAUÁgÀÄ, »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ DVgÀÄvÀÛªÉ.

IÄvÀÄªÁgÀÄ É¼É vÀ¤SÉ £ÀqÉ¹, ¤¢ðµÀÖ¥Àr¹zÀ PÁ®UÀ¼ÁzÀ ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ, «¼ÀA§ ªÀÄÄAUÁgÀÄ, »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ IÄvÀÄUÀ¼À°è ©vÀÛ£ÉAiÀiÁzÀ (£Án, VqÀ £ÉqÀÄªÀÅzÀÄ ¸ÉÃj) É¼ÉUÀ¼À£ÀÄß D IÄvÀÄ«UÉ ¸ÀA§A¢ü¹zÀ PÁ®A£À°è ¤UÀ¢vÀ CªÀ¢üAiÉÆ¼ÀUÁV ¥ÀºÀtÂAiÀÄ°è zÁR°¸À ÉÃPÀÄ.

PÁ® (IÄvÀÄ) ©vÀÛ£É CªÀ¢ü

¥ÀÆªÀð ªÀÄÄAUÁgÀÄ K¦æ¯ï ¤AzÀ dÆ£ï ªÀgÉUÉ

«¼ÀA§ ªÀÄÄAUÁgÀÄ dÄ¯ÉÊ ¤AzÀ DUÀ ïÖ ªÀgÉUÉ

»AUÁgÀÄ ¸É¥ÀÖA§gï ¤AzÀ r¸ÀA§gï ªÀgÉUÉ

ÉÃ¹UÉ d£ÀªÀj¬ÄAzÀ ªÀiÁZïð ªÀgÉUÉ

2£ÉÃ PÁ®A£À°è ¸ÀzÀj ¸ÀªÉð £ÀA§gÀÄ CxÀªÁ »¸ÁìzÀ°ègÀÄªÀ d«ÄÃ£À£ÀÄß ¥Àæ¸ÀÄÛvÀ PÁ®zÀ°è AiÀiÁgÀÄ RÄzÁÝV ÉÃ¸ÁAiÀÄ ªÀiÁqÀÄvÁÛgÉÆÃ CªÀgÀ ºÉ ÀgÀÄ §gÉAiÀÄ ÉÃPÀÄ. CªÀgÀÄ d«ÄÃ¤£À ªÀiÁ°PÀjgÀ§ºÀÄzÀÄ CxÀªÁ ¸ÁUÀÄªÀ½zÁgÀgÉÉÉÃ EgÀ§ºÀÄzÀÄ. M§âjVAvÀ ºÉZÀÄÑ d£ÀgÀÄ ¸ÁUÀÄªÀ½ ªÀiÁqÀÄwÛzÀÝgÉ CªÀgÉ®ègÀ ºÉ ÀgÀÄ, ªÁ¸À ÀÜ¼À (UÁæªÀÄ CxÀªÁ ¥ÀlÖt) §gÉAiÀÄ ÉÃPÀÄ.

3£ÉÃ PÁ®A£À°è ÉÃ¸ÁAiÀÄ ¥ÀzÀÝw w½¸À ÉÃPÀÄ. EzÀÄ ÉÃ¸ÁAiÀÄUÁgÀ¤UÀÆ ªÀiÁ°PÀ¤UÀÆ EgÀÄªÀ ¸ÀA§AzsÀ ¸ÀÆa¸ÀÄvÀÛzÉ. ¸ÁUÀÄªÀ½zÁgÀgÀÄ JgÀqÀÄ ªÀUÀðzÀªÀgÁVgÀÄvÁÛgÉ. ªÀiÁ°PÀ ¸ÁUÀÄªÀ½zÁgÀgÀÄ ªÀÄvÀÄÛ UÉÃtÂ ¸ÁUÀÄªÀ½zÁgÀgÀÄ. F ¥ÉÊQ ªÀiÁ°PÀvÀézÀ MqÉvÀ£À ¸ÁUÀÄªÀ½zÁgÀgÀ ÉèÃ JgÀqÀÄ ªÀUÀðzÀªÀjgÀÄvÁÛgÉ. vÁªÉÃ RÄzÀÄÝ ¸ÁUÀÄ ªÀiÁqÀÄªÀªÀgÀÄ ºÁUÀ®èzÉ D¼ÀÄUÀ¼À£ÀÄß PÀÆ° ªÉÄÃ¯É £ÉÃ«Ä¹PÉÆAqÀÄ ªÉÄÃ°éZÁgÀuÉ¬ÄAzÀ ¸ÁUÀÄªÀ½ ªÀiÁqÀÄªÀªÀgÀÄ.

ªÀiÁ°PÀjAzÀ ¸ÁUÀÄªÀ½UÁV d«ÄÃ£ÀÄ ¥ÀqÉzÀªÀgÀÄ - CªÀgÀÄ AiÀiÁªÀ jÃw vÀªÀÄä d«ÄÃ£ÁÝgÀgÀÄUÀ½UÉ ¥Àæw¥sÀ® ¸À°è¸ÀÄvÁÛgÉAzÀÄ w½zÀÄ «AUÀr¸À§ºÀÄzÀÄ - PÉ®ªÀgÀÄ ºÀt ªÀÄvÉÛ PÉ®ªÀgÀÄ zÀªÀ ÀzÁ£Àå ¥ÀqÉAiÀÄÄvÁÛgÉ. ¸ÁUÀÄªÀ½ ¥zÀÞÀwAiÀÄ£ÀÄß £ÀªÀÄÆ¢¸À ÉÃPÁzÀ ¸ÀAPÉÃvÀUÀ¼ÀÄ F PÉ¼ÀV£ÀAwªÉ.

- (C) d«ÄÃ£ÀÄ ªÀiÁ°PÀ£ÉÃ ¸ÀéAvÀ ¸ÁUÀÄªÀiÁrzÀ°è (J¯ÉÆè PÉ®ªÀÅ ¸À® PÀÆ° PÉÆlÄÖ) - PÉÆÃqï 1

- (§) d«ÄÃ£ÀÄ ªÀiÁ°PÀ£ÀÄ ¸ÀA¥ÀÆtðªÁV PÀÆ°PÉÆlÄÖ ªÉÄÃ°éZÁgÀuÉ¬ÄAzÀ ¸ÁUÀÄªÀiÁrzÀ°è - PÉÆÃqï 2

- (PÀ) ¸ÁUÀÄªÀ½zÁgÀ£ÀÄ ºÀtzÀ gÀÆ¥ÀzÀ°è ¨ÁrUÉ ¥Àæw¥sÀ® ªÀiÁ°PÀ¤UÉ ¸À°è¸ÀÄªÀ ¸ÀAzÀ sÀð - PÉÆÃqï 3

- (qÀ) ¸ÁUÀÄªÀ½zÁgÀ É¼ÉAiÀÄ MAzÀÄ sÁUÀ ¸À°è¸ÀÄªÀ ¸ÀAzÀ sÀð -PÉÆÃqï 4

- (E) ¸ÁUÀÄªÀ½zÁgÀ£ÀÄ É¼ÉAiÀÄ MAzÀÄ ¤¢ðµÀÖ ¥ÀæªÀiÁtzÀ°è UÀÄvÁÛ ¸À°è¸ÀÄªÀÅzÀÄ - PÉÆÃqï 5

- (¥sÀ) ¸ÁUÀÄªÀ½zÁgÀ£ÀÄ d«ÄÃ¤£À ¥Àæw¥sÀ® ªÀiÁ°PÀ¤UÉ PÉÆqÀÄªÀ §zÀ®Ä ¸ÉÃªÉ ¸À°è¸ÀÄªÀÅzÀÄ -PÉÆÃqï 6

114

PÀ£ÁðlPÀ gÁdåzÀ°è sÀÆ ¸ÀÄzsÁgÀuÉ eÁjAiÀÄ°è §AzÀ ªÉÄÃ¯É UÉÃtÂzÁj ¥ÀzÀÞw ¤ªÀÄÆð®£À ªÀiÁqÀ ÁVzÉ. ¸ÉÊ¤PÀ ªÀÄvÀÄÛ £Á«PÀgÀÄ ªÀiÁvÀæ PÁ£ÀÆ£ÀÄ jÃvÁå ¸ÀPÁðgÀzÀ C£ÀÄªÀÄw¬ÄAzÀ PÀÈ¶ sÀÆ«ÄAiÀÄ£ÀÄß UÉÃtÂUÉ ¤ÃqÀ§ºÀÄzÁVzÉ. PÁgÀt E°èAiÀÄ ÀAPÉÃvÀUÀ¼À°è 1 ªÀÄvÀÄÛ 2 ªÀiÁvÀæ FUÀ

C£Àé¬Ä¸ÀÄvÀÛzÉ.

PÁ®A 4gÀ°è 2£ÉÃ PÁ®A£À°è PÁtÂ¹gÀÄªÀ ªÀÄ£ÀÄµÀå£ÀÄ ¸ÁUÀÄªÀ½ ªÀiÁqÀÄªÀ «¹ÛÃtðªÀ£ÀÄß - ¥ÀæwAiÉÆAzÀÄ ¨ÉÃgÉ ¨ÉÃgÉ ¥ÀzÀÝwAiÀÄ ¸ÁUÀÄªÀ½UÉ ¸ÀA§AzsÀ¥ÀlÖAvÉ £ÀªÀÄÆ¢¸À ÉÃPÀÄ. M§âjVAvÀ ºÉZÀÄÑ d£ÀgÀÄ ¸ÁUÀÄªÀiÁqÀÄªÀ ¸ÀAzÀ sÀðUÀ¼À°è CªÀgÀ ºÉ ÀgÀÄUÀ¼À£ÀÄß ªÀÄvÀÄÛ MlÄÖ ¸ÁUÀÄªÀ½ «¹ÛÃtð ¨ÁæPÉnÖ£À°è PÁtÂ À ÉÃPÀÄ.

5£ÉÃ PÁ®A£À°è ¨ÁrUÉÀ ¥ÀæªÀiÁt (UÀÄvÁÛÛ) §gÉAiÀÄ ÉÃPÀÄ. ªÀiÁ°PÀ£ÉÃ ¸ÁUÀÄªÀ½zÁgÀ£ÁVzÀÝgÉ «ªÀgÀ £ÀªÀÄÆ¢¸À ÉÃPÁVgÀÄªÀÅ¢®è. sÀÆ ªÀiÁ°PÀ¤UÉ É¼ÉAiÀÄ°è ¨sÁUÀ ¸À°è¸ÀÄwÛzÀÝ°è CªÀÅUÀ¼À£ÀÄß 1/2, 1/3, 1/4 EvÁå¢AiÀiÁV ¸ÀÆa¸À ÉÃPÀÄ. zsÁ£ÀåzÀ ºÉ ÀgÀÄ ªÀÄvÀÄÛ ¥ÀæªÀiÁt ¸ÀàµÀÖ¥Àr¸À ÉÃPÀÄ.

PÁ®A 6 ªÀÄvÀÄÛ 7, 8 : sÀÆ«ÄAiÀÄ G¥ÀAiÉÆÃUÀ

MAzÀÄ ¸ÀªÉð/¸À ï¸ÀªÉð £ÀA§j£À sÀÆ ¥ÀæzÉÃ±ÀªÀÅ AiÀiÁªÀ GzÉÞÃ±ÀPÁÌV G¥ÀAiÉÆÃUÀªÁUÀÄwÛzÉ J£ÀÄßªÀ ªÀiÁ»w Cw ªÀÄÄRå. sÀÆ«ÄAiÀÄ G¥ÀAiÉÆÃUÀªÀ£ÀÄß DzsÀj¹ EzÀ£ÀÄß MA sÀvÀÄÛ ªÀUÀðUÀ¼À£ÁßV «AUÀr¹zÉ. F ªÀUÀðUÀ¼À «ªÀgÀUÀ¼À£ÀÄß PÁ®A 6 gÀ°è §gÉAiÀÄ®Ä ¸ÀÜ¼ÀzÀ C¨sÁªÀ «gÀÄªÀÅzÀjAzÀ ¥Àæw ªÀUÀðPÀÆÌ ¸ÀAPÉÃvÀªÀ£ÀÄß PÉÆqÀ ÁVzÀÄÝ «ªÀgÀ F PÉ¼ÀV£ÀAwzÉ.

ÀAPÉÃvÀ «ªÀgÀ

J CgÀtå

© ¸ÁUÀÄªÀ½UÉ ¯ÁAiÀÄPÀÌ®èzÀ (AiÉÆÃUÀåªÀ®èzÀ) §AdgÀÄ sÀÆ«Ä (GzÁºÀgÀuÉ: ÉlÖ, PÀ®Äè ªÀÄgÀr, EvÁå¢)

¹ ÉÃ¸ÁAiÀÄPÀ®èzÉ ÉÃgÉ GzÉÝÃ±ÀUÀ½UÁV G¥ÀAiÉÆÃV¹zÀ sÀÆ«Ä (GzÁºÀgÀuÉ:PÀlÖqÀUÀ¼ÀÄ,

gÀ ÉÛUÀ¼ÀÄ, ¸Àä±Á£À, ¸ÉÃvÀÄªÉ, PÉgÉ PÀÄAmÉ EvÁå¢)

r ¸ÁUÀÄªÀ½UÉ ¯ÁAiÀÄPÁÌzÀ ©Ã¼ÀÄ sÀÆ«Ä {¸ÁUÀÄªÀ½ ªÀiÁqÀ§ºÀÄzÁzÀgÀÆ PÀ¼ÉzÀ 5 ªÀµÀð ªÀÄvÀÄÛ CzÀPÀÆÌ ºÉZÀÄÑ ªÀµÀðUÀ½AzÀ ¸ÁUÀÄªÀ½ ªÀiÁqÀzÉÃ EgÀÄªÀ ©Ã¼ÀÄ sÀÆ«Ä}

E SÁAiÀÄA ºÀÄ®ÄèUÁªÀ®Ä ªÀÄvÀÄÛ ªÉÄÃ«£À ¥ÀæzÉÃ±À (UÁæªÀÄzÀ UÉÆÃªÀiÁ¼À, eÁ£ÀÄªÁgÀÄUÀ¼À ªÉÄÃ«UÁV ©nÖgÀÄªÀ ¥ÀæzÉÃ±À EvÁå¢)

J¥sï EvÀgÉ eÁwAiÀÄ ªÀÄgÀUÀ¼ÀÄ ªÀÄvÀÄÛ ¥ÉÆzÉUÀ¼ÀÄ (¸ÀªÉð ªÀÄgÀzÀ vÉÆÃ¥ÀÄ, ©¢gÀÄ ªÉÄ¼É, ºÉÆAUÉ vÉÆÃ¥ÀÄ EvÀgÉ ¥ÉÆzÉUÀ¼ÀÄ)

f ZÁ°Û §AdgÀÄ {»A¢£À ªÀµÀðUÀ¼À°è É¼É ªÀiÁr ZÁ°Û ªÀµÀðzÀ°è ©Ã¼ÀÄ ©lÖ sÀÆ«Ä (ªÀÄÆgÀÄ IÄvÀÄUÀ¼À°è)}

ºÉZï EvÀgÉ §AdgÀÄ sÀÆ«Ä {PÀÈ¶UÉ AiÉÆÃUÀåªÁVzÀÄÝ, vÁvÁÌ°PÀªÁV MAzÀjAzÀ 5 ªÀµÀðUÀ¼ÀªÀgÉUÉ ©Ã¼ÀÄ ©lÖ sÀÆ«Ä

L ¤ªÀé¼À ¸ÁUÀÄªÀ½ ªÀiÁrzÀ ¥ÀæzÉÃ±À

115

PÁ®A 7 gÀ°è DAiÀiÁ sÀÆ G¥ÀAiÉÆÃUÀzÀ «¹ÛÃtðªÀ£ÀÄß JPÀgÉ UÀÄAmÉUÀ¼À°è §gÉAiÀÄ ÉÃPÀÄ. PÁ®A 8 gÀ°è sÀÆ«ÄAiÀÄ ªÀUÀðªÀ£ÀÄß (RÄ¶Ì, vÀj, sÁUÁAiÀÄÄÛ) EªÀÅUÀ¼À°è AiÀiÁªÀÅzÉAzÀÄ £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

PÁ®A - 9, 10, 11, 12: É¼ÉAiÀÄ ºÉ ÀgÀÄ ªÀÄvÀÄÛ «¹ÛÃtð

PÁ®A-9 gÀ°è É¼ÉAiÀÄ¯ÁzÀ É¼ÉAiÀÄ ºÉ ÀgÀ£ÀÄß zÁR°¸À ÉÃQzÉ. É¼ÉAiÀÄÄ ¸ÀÜ½ÃAiÀÄªÁVzÀÝgÉ ºÉ Àj£À ªÀÄÄAzÉ ¸ÀÜ½ÃAiÀÄ (¸ÀÜ) JAzÀÄ C¢üPÀ E¼ÀÄªÀj CxÀªÁ ±ÀQÛªÀiÁ£ï DVzÀÝgÉ C¢üPÀ E¼ÀÄªÀj (C.E.) JAzÀÄ £ÀªÀÄÆ¢¸À ÉÃPÀÄ. C¢üPÀ E¼ÀÄªÀj CxÀªÁ ±ÀQÛªÀiÁ£ï vÀ½AiÀÄ É¼ÉUÀ¼À£ÀÄß ¸ÀÜ½ÃAiÀÄ PÀÈ¶ ¸ÀºÁAiÀÄPÀgÀ ¸ÀºÁAiÀÄ¢AzÀ ¸ÀjAiÀiÁV UÀÄgÀÄw¹ £ÀªÀÄÆ¢¸À ÉÃPÁVgÀÄvÀÛzÉ.

±ÀÄzÀÞ (C«Ä±Àæ) É¼ÉUÀ¼À£ÀÄß PÁ®A 10 gÀ°è ºÁUÀÆ «Ä±Àæ ¨É¼ÉUÀ¼À «ªÀgÀªÀ£ÀÄß PÁ®A 11 gÀ°è zÁR°¸À ÉÃPÀÄ. ºÁUÀÆ MlÄÖ «¹ÛÃtðªÀ£ÀÄß PÁ®A 12 gÀ°è ¤ÃqÀ ÉÃQzÉ.

UÁæªÀÄzÀ WÉÆÃµÁégÉAiÀÄ°èAiÀÄÆ F É¼ÉUÀ¼À «¹ÛÃtðªÀ£ÀÄß ¥ÀævÉåÃPÀªÁV PÉÆæÃrüÃPÀj¹ zÁR°¸À ÉÃPÀÄ.

PÁ®A 13: ¤ÃgÁªÀjAiÀÄ ªÀÄÆ®

PÁ®A 9gÀ°è £ÀªÀÄÆ¢¹zÀ É¼ÉUÀ½UÉ ¤ÃgÁªÀjAiÀiÁUÀÄwÛzÀÝgÉ, ¤ÃgÁªÀj ªÀÄÆ®ªÀ£ÀÄß PÁ®A 13 gÀ°è £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

É¼ÉAiÀÄ£ÀÄß É¼ÉAiÀÄÄªÀ ¸À®ÄªÁV AiÀiÁªÀÅzÁzÀgÀÆ ¤Ãj£À ªÀÄÆ®¢AzÀ ¤ÃgÀ£ÀÄß ºÁ¬Ä¹zÀÝgÉ CAxÀºÀ É¼É ¥ÀæzÉÃ±ÀªÀ£ÀÄß ¤ÃgÁªÀjAiÀiÁzÀ PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ À ÁUÀÄvÀÛzÉ. ¸ÀA¥ÀÆtðªÁV ªÀÄ¼É ¤Ãj£À D±ÀæAiÀÄzÀ°è É¼ÉzÀ ¥ÀæzÉÃ±ÀªÀ£ÀÄß ¤ÃgÁªÀjAiÀÄ®èzÀ (ªÀÄ¼É D²ævÀ) PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ À ÁUÀÄvÀÛzÉ.

PÁ®A 13 gÀ°è ¤ÃgÁªÀj ªÀÄÆ®ªÀ£ÀÄß £ÀªÀÄÆ¢¸ÀÄªÀ ¸À®ÄªÁV ¸ÀPÁðgÀzÀ ¸ÀÄvÉÆÛÃ¯É ¸ÀASÉå.Dgïr.153 ©.Dgï.Dgï. 76 ¢£ÁAPÀ 14-11-1980 gÀ°è ¤ÃrgÀÄªÀ ¤zÉÃð±À£ÀUÀ¼ÀÄ F PÉ¼ÀV£ÀAwªÉ.

¤ÃgÁªÀj ªÀÄÆ®ªÀ£ÀÄß ªÀÄÆ®vÀB ªÀÄÆgÀÄ ªÀUÀðUÀ¼À£ÁßV «AUÀr¸À¯ÁVgÀÄvÀÛzÉ, CªÀÅ F PÉ¼ÀV£ÀAwªÉ.

10,000 ºÉPÉÖÃgïUÉ ªÉÄÃ®àlÄÖ CZÀÄÑPÀlÄÖ EgÀÄªÀ ¤ÃgÁªÀj ªÀÄÆ® - §ÈºÀvï ¤ÃgÁªÀj ¸ÀAPÉÃvÀ-1

2,000 jAzÀ 10,000 ºÉPÉÖÃgï ªÀgÉV£À CZÀÄÑPÀlÄÖ EgÀÄªÀ ¤ÃgÁªÀj ªÀÄÆ® - ªÀÄzsÀåªÀÄ ¤ÃgÁªÀj - ¸ÀAPÉÃvÀ - 2

2,000 ºÉPÉÖÃgïªÀgÉUÉ CZÀÄÑPÀlÄÖ EgÀÄªÀ ¤ÃgÁªÀj ªÀÄÆ® - ¸ÀtÚ ¤ÃgÁªÀj - ¸ÀAPÉÃvÀ – 3

116

PÁ®A 13 gÀ°è ¤ÃgÁªÀj ªÀÄÆ® zÁR° À®Ä F PÉ¼ÀV£ÀAvÉ ÀAPÉÃvÀ ¤ÃqÀ¯ÁVgÀÄvÀÛzÉ.

1 ¸ÀPÁðj £Á® J

2 SÁ¸ÀV £Á® ©

3 PÉgÉ ¹

4 vÉgÉzÀ ¨Á« R

5 PÉÆ¼ÀÀªÉ ¨Á« (¸ÀPÁðj) E

6 PÉÆ¼ÀªÉ ¨Á« (SÁ¸ÀV) J¥sï

7 KvÀ ¤ÃgÁªÀj AiÉÆÃd£É (¸ÀPÁðj) F

8 KvÀ ¤ÃgÁªÀj AiÉÆÃd£É (SÁ¸ÀV) ºÉZï

9 KvÀ ¤ÃgÁªÀj AiÉÆÃd£É (¸ÀºÀPÁj) L

10 §ÄqÀQ, PÀZÁÑ, PÀÄAqÀQ (¦PÀ¥ï) eÉ

11 EvÀgÉ («ªÀgÀUÀ¼ÉÆA¢UÉ) PÉ

PÁ®A 13 gÀ°è ¤ÃgÁªÀj ªÀÄÆ®ªÀ£ÀÄß CzÀgÀ ªÀUÀð ¸À»vÀªÁV ÀAPÉÃvÀUÀ¼À°è £ÀªÀÄÆ¢ À ÉÃPÀÄ:

GzÁºÀgÀuÉUÉ:

¸ÀPÁðj £Á® - zÉÆqÀØ ¤ÃgÁªÀj

PÉgÉ - ¸ÀtÚ ¤ÃgÁªÀj

SÁ¸ÀV £Á® - ªÀÄzsÀåªÀÄ ¤ÃgÁªÀj

EzÀ®èzÉ, ¤ÃgÁªÀj ªÀÄÆ® ¨Á« DVzÀÄÝ, ¤ÃgÉvÀÛ®Ä ¸ÁzsÀ£ÀªÀ£ÀÄß C¼ÀªÀr¹zÀÝgÉ ¸ÀAPÉÃvÀªÀ£ÀÄß F PÉ¼ÀV£ÀAvÉ ¤ÃqÀ ÉÃPÀÄ :

J-1

¹-3

©-2

1. «zÀÄåvï AiÀÄAvÀæ¢AzÀ ¤ÃgÉvÀÄÛwÛzÀÝgÉ

2. vÉÊ® AiÀÄAvÀæ¢AzÀ ¤ÃgÉvÀÄÛwÛzÀÝgÉ

3. EvÀgÉ ¸ÁzsÀ£ÀUÀ¼ÀÄ (PÀ¦¯É, KvÀ, EvÀgÉ)

E

M

Mr

¸ÀtÚ ¤ÃgÁªÀj - ¨Á« -«zÀÄåvï AiÀÄAvÀæ

¸ÀtÚ ¤ÃgÁªÀj - ¨Á« -vÉÊ® AiÀÄAvÀæ

¸ÀtÚ ¤ÃgÁªÀj - ¨Á« -PÀ¦¯É

£À¢, ºÀ¼Àî, £Á¯ÉUÀ½AzÀ ¤ÃgÀÄ JwÛ ºÁ¬Ä¸ÀÄwÛzÀÝgÉ,

¸ÀtÚ ¤ÃgÁªÀj - £À¢ -«zÀÄåvï AiÀÄAvÀæ

¸ÀtÚ ¤ÃgÁªÀj - ºÀ¼Àî – vÉÊ® AiÀÄAvÀæ

(r-3)+E

(r-3)+ M

(r-3)+Mr

(PÉ-3)+E

(PÉ-3)+M

F jÃwAiÀiÁV ¸ÀAPÉÃvÀUÀ¼À°è ¤ÃgÁªÀj ªÀÄÆ®UÀ¼À£ÀÄß PÁ®A 13gÀ°è zÁR°¸À ÉÃQzÉ.

117

PÁ®A 14, 15, 16 gÀ°è zÁR° ÀÄªÁUÀ

PÁ®A 14 gÀ°è d«ÄÃ¤£À É¼É ¹ÜwAiÀÄ §UÉÎ F »A¢£À ªÀµÀðUÀ¼À DzsÁgÀzÀ°è JPÀgÉUÉ CAzÁdÄ GvÀàwÛAiÀÄ£ÀÄß QéAmÁ¯ï ªÀÄvÀÄÛ PÉ.f. ÉPÀÌzÀ°è PÉÆqÀ ÉÃPÀÄ.

¸ÀPÁðgÀzÀ ¸ÀÄvÉÆÛÃ¯É PÀæªÀiÁAPÀ Dgï.r. 188 nDgïDgï 78 ¢£ÁAPÀ: 12/15.12.1978 gÀ ¤zÉÃð±À£ÀzÀ°è ¥ÁèAmÉÃµÀ£ï, sÁUÁAiÀÄvÀ, ºÀtÂÚ£À ªÀÄgÀzÀ vÉÆÃlUÀ¼ÀÄ ªÀÄvÀÄÛ E¤ßvÀgÀ §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À ¸Á®ÄUÀ¼À ªÀÄzsÀå É¼ÉAiÀÄÄªÀ É¼É / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼À£ÀÄß (Inter Row Crop / Relay Crop)

ªÀÄvÀÄÛ IÄvÀÄPÁ°PÀ É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ ¸À® É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ ¥ÀjUÀtÂ¹ Dgïn¹AiÀÄ PÁ®A 13(15) gÀ°è ºÉ ÀgÀ£ÀÄß zÁR°¹ PÉëÃvÀæªÀ£ÀÄß PÁ®A 13(16) gÀ°è zÁR°¸À ÉÃPÀÄ.

EAvÀºÀ MAzÀQÌAvÀ ºÉZÁÑV É¼ÉzÀ PÉëÃvÀæªÀÅ AiÀiÁªÀÅzÉÆAzÀÄ IÄvÀÄ«£À°è ¤ªÀé¼À É¼É vÉUÉzÀÄ PÉÆAqÀ PÉëÃvÀæªÀ£ÀÄß «ÄÃgÀ ÁgÀzÀÄ. F GzÉÝÃ±ÀPÉÌ ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ PÀÆqÀ MAzÀÄ IÄvÀÄªÉÃ DVgÀÄvÀÛzÉ.

DzÀgÉ EAvÀºÀ ¸ÀAzÀ sÀðzÀ°è ºÀtÂÚ£À vÉÆÃl, sÁUÁAiÀÄvÀ ªÀÄvÀÄÛ ¥ÁèAmÉÃµÀ£ï É¼ÉUÀ¼À ªÀÄzsÉå É¼ÉzÀ IÄvÀÄPÁ°PÀ É¼ÉUÀ¼À£ÀÄß ¸Á®ÄUÀ¼À ªÀÄzsÀåzÀ°è ¨É¼ÉzÀ É¼ÉUÀ¼À£ÀÄß / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼À£ÀÄß ªÀiÁvÀæ

Dgïn¹AiÀÄ PÁ®A 13(15) gÀ°è ºÉ ÀgÀ£ÀÄß zÁR°¹ PÉëÃvÀæªÀ£ÀÄß PÁ®A 13(16) gÀ°è zÁR°¸À ÉÃPÀÄ. G½zÀ jÃwAiÀÄ É¼ÉUÀ¼À£ÀÄß F PÁ®A£À°è vÉÆÃj¸ÀvÀPÀÌzÀ®è. «Ä±Àæ É¼ÉUÀ¼À «ªÀgÀUÀ¼À£ÀÄß PÀÆqÀ E°è zÁR°¸À ÉÃPÁVgÀÄªÀÅ¢®è.

¥ÀºÀtÂ ¥ÀwæPÉAiÀÄÄ ¥Àæ¸ÀÄÛvÀ ¸ÀA¥ÀÆtðªÁV UÀtQÃPÀgÀtUÉÆArgÀÄªÀÅzÀjAzÀ PÀAzÁAiÀÄ, PÀÈ¶, vÉÆÃlUÁjPÉ, ¤ÃgÁªÀj ºÁUÀÆ DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉUÀ¼À CªÀ±ÀåPÀvÉUÀ¼À£ÀÄß UÀªÀÄ£ÀzÀ°èlÄÖ PÉÆAqÀÄ, ¥ÀºÀtÂAiÀÄ°è PÀÈ¶ CAQ-CA±ÀUÀ¼À£ÀÄß zÁR°¸À®Ä CªÀ±Àå«gÀÄªÀ ¸ÀÆZÀ£ÉUÀ¼À PÉÊ¦rAiÀÄ£ÀÄß ¸ÀÄvÉÆÛÃ¯É ¸ÀASÉå PÀA.E.49 JA.Dgï.Dgï. 2003 ¢£ÁAPÀ:16-4-2003 gÀ ªÀÄÆ®PÀ ¸ÀPÁðgÀ ºÉÆgÀ vÀA¢zÉ. F ¸ÀÄvÉÆÛÃ¯É C£ÀÄ¸ÁgÀ PÀÈ¶ CAQ CA±ÀUÀ¼À£ÀÄß ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ°è zÁR°¸À ÉÃQzÉ.

©vÀÛ£É PÁAiÀÄðUÀ¼ÀUÁV IÄvÀÄUÀ¼À£ÀÄß DyðPÀ ªÀµÀðPÉÌ ¸ÀªÀÄªÁV ªÀVðÃPÀj¹gÀÄªÀÅzÀjAzÀ ªÀÄÄAUÁgÀÄ (K¦æ¯ï-dÆ£ï ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ, dÄ¯ÉÊ DUÀ ïÖ «¼ÀA§ ªÀÄÄAUÁgÀÄ) »AUÁgÀÄ (¸É¥ÉÖA§gï ¤AzÀ r¸ÉA§gï) ªÀÄvÀÄÛ ÉÃ¹UÉ (d£ÀªÀj¬ÄAzÀ ªÀiÁZïð) IÄvÀÄUÀ¼À£ÀÄß ¸ÉÃj¹ ¥ÀºÀtÂ JtÂPÉ §UÉÎ MAzÀÄ ªÀµÀð JAzÀÄ ¥ÀjUÀtÂ À ÁVzÉ.

¥ÀºÀtÂAiÀÄ°è É¼ÉUÀ¼À£ÀÄß zÁR°¸ÀÄªÁUÀ K¦æ¯ï 1 jAzÀ DUÀ ïÖ 31gÀ CªÀ¢üAiÀÄ°è ©vÀÛ£ÉAiÀiÁzÀ É¼ÉUÀ¼ÀÄ ªÀÄÄAUÁgÀÄ É¼É (K¦æ¯ï-dÆ£ï ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ, dÄ¯ÉÊ DUÀ ïÖ «¼ÀA§ ªÀÄÄAUÁgÀÄ),

¸É¥ÉÖA§gï 1 jAzÀ r¸ÉA§gï 31gÀ CªÀ¢üAiÀÄ°è ©vÀÛ£ÉAiÀiÁzÀ É¼ÉUÀ¼ÀÄ »AUÁgÀÄ É¼É ªÀÄvÀÄÛ d£ÀªÀj 1 jAzÀ ªÀiÁZïð 31gÀ CªÀ¢üAiÀÄ°è ©vÀÛ£ÉAiÀiÁzÀ É¼ÉUÀ¼ÀÄ ÉÃ¹UÉ É¼É JAzÀÄ ¥ÀjUÀtÂ À ÉÃQgÀÄvÀÛzÉ.

PÀrªÉÄ CªÀ¢üAiÀÄ°è É¼ÉAiÀÄÄªÀ É¼ÉUÀ¼ÀÄ ¥ÀºÀtÂ vÀ¤SÉ¬ÄAzÀ ºÉÆgÀUÉ G½AiÀÄ¨ÁgÀzÀÄ ªÀÄvÀÄÛ F É¼ÉUÀ¼À PÉëÃvÀæ GvÁàzÀ£É CAzÁdÄUÀ½AzÀ vÀ¦à ºÉÆÃUÀ¨ÁgÀzÀÄ J£ÀÄßªÀ zÀÈ¶Ö¬ÄAzÀ ¥ÀÆªÀð ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À É¼É vÀ¤SÉAiÀÄ£ÀÄß (K¦æ¯ï ¤AzÀ dÆ£ï wAUÀ¼ÀªÀgÉUÉ ©vÀÛ£ÉAiÀÄzÀ É¼ÉAiÀÄ£ÀÄß) dÄ¯ÉÊ wAUÀ½£À°è PÉÊUÉÆAqÀÄ ¥ÀºÀtÂAiÀÄ°è zÁR°¸À ÉÃPÀÄ. «¼ÀA§ ªÀÄÄAUÁj£À É¼É vÀ¤SÉAiÀÄ£ÀÄß (dÄ¯ÉÊ ªÀÄvÀÄÛ DUÀ ïÖ wAUÀ½£À°è ©vÀÛ£ÉAiÀiÁzÀ É¼ÉAiÀÄ£ÀÄß) ¸É¥ÉÖA§gï wAUÀ½£À°è PÉÊUÉÆAqÀÄ ¥ÀºÀtÂAiÀÄ°è zÁR°¸ÀÄªÀÅzÀÄ. DzÀgÉ F JgÀqÀ£ÀÄß (¥ÀÆªÀð ªÀÄÄAUÁgÀÄ ªÀÄvÀÄÛ «¼ÀA§ ªÀÄÄAUÁgÀÄ) PÉÆæÃrüÃPÀj¹ ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è MAzÉÃ ªÀgÀ¢ ¤ÃqÀ ÉÃPÁVgÀÄvÀÛzÉ. »AUÁgÀÄ IÄvÀÄ«£À ¨É¼É

118

vÀ¤SÉAiÀÄ£ÀÄß d£ÀªÀj wAUÀ½£À°è ºÁUÀÆ ÉÃ¹UÉ IÄvÀÄ«£À É¼É vÀ¤SÉAiÀÄ£ÀÄß K¦æ¯ï wAUÀ½£À°èAiÀÄÆ ªÀiÁqÀ ÉÃPÁVgÀÄvÀÛzÉ.

E°è ªÀiÁUÀð¸ÀÆaUÀ¼ÀÄ ªÀÄvÀÄÛ «ªÀgÀuÉUÀ¼ÀÄ F PÉ¼ÀV£ÀAwªÉ.

(i) ©vÀÛ£É JAzÀgÉ £Án, VqÀ £ÉqÀÄªÀÅzÀÄ ¸ÉÃjzÉ.

(ii) §ºÀÄ ªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß ¥ÁèAmÉÃ±À£ï sÁUÁAiÀÄvÀ ªÀÄvÀÄÛ ºÀtÂÚ£À ªÀÄgÀzÀ É¼ÉUÀ¼À£ÀÄß ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è ªÀiÁvÀæ zÁR°¸À ÉÃPÀÄ.

(iii) CUÉ ªÀÄr (Nursery beds) PÉëÃvÀæªÀ£ÀÄß zÁR°¸À¨ÁgÀzÀÄ. £ÀAvÀgÀ D PÉëÃvÀæzÀ°è É¼ÉzÀ É¼É PÉëÃvÀæªÀ£ÀÄß ªÀiÁvÀæ zÁR°¸À ÉÃPÀÄ.

(iv) IÄvÀÄPÁ°PÀ É¼ÉUÀ¼À£ÀÄß MAzÉÃ ¸À® JtÂPÉ ªÀiÁqÀ ÉÃPÀÄ. MAzÀÄ ¨Áj JtÂPÉAiÀiÁzÀ IÄvÀÄPÁ°PÀ É¼ÉAiÉÆAzÀÄ ªÀÄÄA¢£À ¨Áj JtÂPÉUÉ ºÉÆÃzÁUÀ D d«Ä¤£À°è EzÀÝgÀÆ ¸ÀºÀ CzÀ£ÀÄß ¥ÀÄ£À: JtÂPÉ ªÀiÁqÀ ÁgÀzÀÄ. JtÂPÉAiÀÄ°è £ÀªÀÄÆ¢¸À ÁzÀ PÉëÃvÀæªÀÅ ªÁ¸ÀÛªÀªÁV ©vÀÛ£É ¥ÀæzÉÃ±ÀUÀ½UÉ ¸ÀjAiÀiÁVgÀ ÉÃPÀÄ. C£Á£ÀÄPÀÆ® IÄvÀÄ«£À ¥Àj¹ÜwUÀ½AzÁV ©wÛzÀ ©ÃdzÀ É¼É ªÉÆ¼ÀPÉAiÉÆqÉAiÀÄzÉÃ £Á±ÀªÁUÀÄªÀ ¸ÁzsÀåvÉ EzÀÄÝ, PÉ® ¸ÀAzÀ sÀðzÀ°è £Á±ÀªÁzÀ ¨É¼ÉAiÀÄ §zÀ®Ä vÀPÀët E£ÉÆßAzÀÄ É¼É ©vÀÛ§ºÀÄzÀÄ. EAvÀºÀ ¸ÀAzsÀ sÀðzÀ°è CzÉÃ IÄvÀÄ«£À°è ©wÛzÀ JgÀqÀ£ÉÃ ¨É¼ÉAiÀÄ ¥ÀæzÉÃ±ÀªÀ£ÀÄß ªÀiÁvÀæ ¯ÉPÀÌPÉÌ vÉUÉzÀÄPÉÆ¼Àî ÉÃPÀÄ. CAzÀgÉ £Á±ÀªÁzÀ É¼ÉAiÀÄ PÉëÃvÀæªÀ£ÀÄß ¥ÀjUÀtÂ À ÁgÀzÀÄ.

2. PÉëÃvÀæªÀ£ÀÄß C¼ÀvÉ ¥ÀnÖ¬ÄAzÀ CxÀªÁ ¸ÀªÉð E¯ÁSÉAiÀÄ ¸ÀgÀ¥ÀtÂ¬ÄAzÀ C¼ÉAiÀÄ§ºÀÄzÀÄ CxÀªÁ PÉëÃvÀæªÀ£ÀÄß CAzÁeÁV ºÉeÉÓ (zÁ¥ÀÄUÀ¼ÀÄ) CxÀªÁ PÉÆÃ®¼ÀvÉ ªÀÄÆ®PÀªÀÇ ¤zsÁðgÀ ªÀiÁqÀ§ºÀÄzÀÄ. vÀ£Àß zÁ¥ÀÄ JµÀÄÖ Cr EzÉ J£ÀÄßªÀÅzÀ£ÀÄß ¥ÁæxÀ«ÄPÀ PÁAiÀÄðPÀvÀðgÀÄ w½¢gÀ ÉÃPÀÄ. 5 ºÉeÉÓUÀ¼À£ÀÄß ºÁQ CzÀÄ JµÀÄÖ Cr EzÉ JAzÀÄ w½¢gÀ ÉÃPÀÄ. CzÉÃ jÃw ¸Á®ÄUÀ¼À CUÀ®UÀ¼À CAvÀgÀªÀ£ÀÄß ¥ÁzÀ¢AzÀ CxÀªÁ C¼ÀvÉ UÉÆÃ°¤AzÀ C¼ÉAiÀÄ§ºÀÄzÁVzÉ. DzÀgÉ EªÀÅUÀ¼À°è ¤¢ðµÀÖvÉ EgÀ ÉÃPÀÄ.

3. É¼É ¨É¼ÉzÀ ¥ÀæzÉÃ±ÀzÀ CAZÀ£ÀÄß C¼ÉzÀÄ ¨É¼É ¥ÀæzÉÃ±À ¤zsÀðj¸À ÉÃPÀÄ. É¼ÉUÀ¼À «ªÀgÀ ªÀ ÀÄÛ¤µÀÖªÁVgÀ ÉÃPÀÄ. C®àPÁ®zÀ IÄvÀÄPÁ°PÀ ¨É¼ÉAiÉÆAzÀÄ ¥ÁæxÀ«ÄPÀ PÁAiÀÄðPÀvÀð É¼É vÀ¤SÉ £ÀqÉ ÀÄªÀ PÁ®QÌAvÀ ¸Àé®à ªÀÄÄAavÀªÁV PÉÆAiÀiÁèVgÀ§ºÀÄzÀÄ. DzÁUÀÆå CzÀ£ÀÄß ¸ÀÜ½PÀ vÀ¤SÉ¬ÄAzÀ RavÀ¥Àr¹PÉÆAqÀÄ zÁR°¸À ÉÃPÀÄ.

4. «Ä±Àæ É¼ÉUÀ¼ÀÄ É¼É ªÀirAiÀÄ°èzÀÝgÉ, ªÀÄrUÀ¼À ¸ÀASÉå ªÀÄvÀÄÛ ¥Àæw ªÀir CªÀj¹zÀ GzÀÝUÀ®UÀ¼À£ÀÄß ¤zsÀðj¹ PÉëÃvÀæ zÁR¯É ªÀiÁqÀ ÉÃPÀÄ.

5. «Ä±Àæ É¼ÉUÀ¼À£ÀÄß C¤AiÀÄvÀ GzÀÝzÀ ¸Á®ÄUÀ¼À°è (Irregular length) É¼É¢zÀÝgÉ J¯Áè ¸Á®ÄUÀ¼À GzÀÝzÀ°è ¥Àæw ¨É¼ÉAiÀÄ ¸Á®ÄUÀ¼ÀÄ ºÉÆA¢gÀÄªÀ GzÀÝzÀ C£ÀÄ¥ÁvÀzÀ PÀæªÀÄzÀ°è PÉëÃvÀæ ¤zsÀðj¸À ÉÃPÀÄ.

6. «Ä±Àæ É¼ÉUÀ¼À£ÀÄß ©Ãd «Ä±Àæt¢AzÀ É¼É¢zÀÝgÉ ¸ÀÜ½ÃAiÀÄªÁV J¯Áè gÉÊvÀgÀÆ C£ÀÄ¸Àj¸ÀÄªÀ ¤UÀ¢ªÀiÁqÀ®àlÖ ¸ÁªÀiÁ£Àå ¥ÀzÀÝw J£ÁzÀgÀÆ EzÀÝ°è CzÀgÀAvÉ ¤zsÀðj¸À ÉÃPÀÄ. ºÁV®è¢zÀÝ°è «Ä±ÀætzÀ WÀlPÀUÀ¼À ©ÃdzÀ vÀÆPÀ/C¼ÀvÉUÀ¼ÀÄ C£ÀÄ¸Àj¸À§ºÀÄzÁzÀ C£ÀÄ¥ÁvÀzÀ°è PÉëÃvÀæ zÁR°¸À ÉÃPÀÄ.

119

7. ¸Á®ÄUÀ¼À£ÀÄß «Ä±ÀæªÁV CxÀªÁ ©Ãd «Ä±Àæt¢AzÀ É¼ÉzÁUÀ CxÀªÁ ªÀÄzsÀåzÀ°è ÉÃgÉ zsÁ£ÀåUÀ¼À£ÀÄß ZÉ°èzÁUÀ ªÀiÁvÀæ «Ä±Àæ ¨É¼É JAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ.

8. ¥ÀævÉåÃPÀªÁV ¨É¼ÉzÀ É¼ÉUÀ¼À£ÀÄß MAzÉÃ ¸ÀªÉð £ÀA.£À°è É¼É¢zÀÝgÀÆ ÉÃgÉ ÉÃgÉAiÀiÁzÀ ±ÀÄzÀÞ PÉëÃvÀæ JAzÉÃ ¥ÀjUÀtÂ À ÉÃPÀÄ.

9. C¤AiÀÄvÀ (Irregular) ªÉÄÃgÉ (sides) UÀ½gÀÄªÀ É¼É PÉëÃvÀæzÀ°è É¼É PÉëÃvÀæªÀ£ÀÄß ¸ÀÜ½ÃAiÀÄªÁV ¤UÀ¢vÀ ¥ÀzÀÝwAiÀÄ vÀÆPÀ/C¼ÀvÉAiÀÄAvÉ ©vÀÛ£É/PÀÆjUÉ, ©vÀÛ£É/£Án ªÀiÁrgÀÄªÁUÀ ¸ÀÜ½ÃAiÀÄ ¤UÀ¢vÀ ¥ÁgÀA¥ÀjPÀ «Ä±ÀætUÀ¼ÀÄ ¸ÁªÀiÁ£ÀåªÁV CªÀj¹gÀÄªÀ PÉëÃvÀæzÀAvÉ vÀ¤SÉ¬ÄAzÀ ¨É¼É PÉëÃvÀæ RavÀ¥Àr¹PÉÆAqÀÄ zÁR°¸À§ºÀÄzÁVzÉ.

GzÁºÀgÀuÉUÉ:- MAzÀÄ vÁ®ÆèQ£À°è eÉÆÃ¼À ªÀÄvÀÄÛ gÁV É¼ÉAiÀÄ°è 8:1 C£ÀÄ¥ÁvÀzÀ°è PÉëÃvÀæ CªÀj¸ÀÄªÀAvÉ ©Ãd «Ä±ÀætªÀ£ÀÄß ªÀiÁvÀæ G¥ÀAiÉÆÃV¸ÀÄªÀ ¸ÀA¥ÀæzÁAiÀÄ EzÉ. DUÀ CAvÀºÀ ©Ãd «Ä±ÀætzÀ ºÉÆ®UÀ¼À°è CzÉÃ C£ÀÄ¥ÁvÀzÀ°è PÉëÃvÀæ zÁR°¸À ÉÃPÀÄ.

10. PÀÈ¶: vÉÆÃlUÁjPÉ E¯ÁSÉUÀ¼ÀÄ ²¥sÁgÀ ÀÄì ªÀiÁrzÀ ¥ÀæªÀiÁtQÌAvÀ ºÉaÑ£À ¥ÀæªÀiÁtzÀ°è JPÀgÉAiÉÆAzÀPÉÌ VqÀUÀ¼À£ÀÄß £ÉqÀÄªÀ/©vÀÛ£É/£Án ªÀiÁqÀÄªÀ ¥ÀzÀÝw ¥ÀæZÀ°vÀ«gÀÄªÀ ¸ÁzsÀåvÉUÀ¼ÀÄ EgÀÄvÀÛªÉ. DUÀ ¸ÀÜ½ÃAiÀÄ ¥ÀæªÀiÁtzÀ°è UÀªÀÄ¤¹ PÉëÃvÀæ zÁR°¸À ÉÃPÀÄ.

11. §ºÀÄªÁ¶ðPÀ ºÀtÂÚ£À ªÀÄgÀUÀ¼ÀÄ, sÁUÁAiÀÄvÀ ªÀÄvÀÄÛ ¥ÁèAmÉÃ±À£ï, É¼ÉUÀ¼À ¥ÀæªÀiÁt ¸ÀASÉå ¸ÀÜ½ÃAiÀÄªÁV ¥ÀæZÀ°vÀ«gÀÄªÀ JPÀgÉ/ºÉPÉÖÃgïUÉ ¥ÀæªÀiÁtªÀ£ÀÄß C£ÀÄ¸Àj¹ zÁR°¸À ÉÃPÀÄ. ªÉÄÃ¯ÉÆßÃlPÉÌ w½AiÀÄÄªÀAvÉ ¤UÀ¢vÀ ¥ÀæªÀiÁtQÌAvÀ «gÀ¼ÀªÁV ¨É¼ÉUÀ¼À£ÀÄß É¼É¢zÀÝgÉ, ¸ÀÜ½ÃAiÀÄ ¥ÀæªÀiÁt ªÀÄvÀÄÛ vÉÆÃlUÁjPÉ E¯ÁSÉ ²¥sÁgÀ ÀÄì ¥ÀæªÀiÁtzÀ°è AiÀiÁªÀÅzÀÄ PÀrªÉÄ EzÉAiÉÆÃ CzÀ£ÀÄß C£ÀÄ¸Àj¹ MlÄÖ PÉëÃvÀæzÀ°è CzÉÃ C£ÀÄ¥ÁvÀzÀAvÉ É¼É zÁR°¸À ÉÃPÀÄ.

12. MAzÀÄ ¸ÀªÉð £ÀA.£À°è MAzÀQÌAvÀ ºÉZÀÄÑ PÀÈ¶ É¼ÉUÀ¼À£ÀÄß MAzÀgÀ ªÀÄzsÀå E£ÉÆßAzÀgÀAvÉ É¼É É¼É¢zÀÝgÉ CªÀÅUÀ¼À£ÀÄß «Ä±Àæ É¼ÉUÀ¼ÉAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ. DzÀgÉ §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß É¼ÉzÁUÀ CªÀÅUÀ¼À£ÀÄß ±ÀÄzÀÞ É¼ÉUÀ¼ÉAzÉÃ ¥ÀjUÀtÂ À ÉÃPÀÄ.

GzÁºÀgÀuÉ:- (1) vÉAUÀÄ , CrPÉ (2) CrPÉ, PÁ¦ü

(3) ¸À¥ÉÆÃl, ¹Ã É (4) ªÀiÁªÀÅ, UÉÃgÀÄ (5) vÉAUÀÄ, ªÀiÁªÀÅ EvÁå¢

13. ¸ÀPÁðgÀzÀ ¸ÀÄvÉÆÛÃ¯É PÀæªÀiÁAPÀ Dgï.r.188 f.Dgï.Dgï.78 ¢£ÁAPÀ 12/ 15.12.78 ¤zÉðÃ±À£ÀzÀ°è ¥ÁèAmÉÃ±À£ï, sÁUÁAiÀÄvÀ ºÀtÂÚ£À ªÀÄgÀzÀ vÉÆÃlUÀ¼ÀÄ ªÀÄvÀÄÛ E¤ßvÀgÀ §ºÀÄªÁ¶ðPÀ ¨É¼ÉUÀ¼À ¸Á®ÄUÀ¼À ªÀÄzsÀå É¼ÉAiÀÄÄªÀ É¼É / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼À£ÀÄß (Inter

Row Crop / Relay Crop) É¼ÉUÀ¼À£ÀÄß ªÀÄvÀÄÛ IÄvÀÄPÁ°PÀ É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ ¸À® É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ. DzÀgÉ EAvÀºÀ MAzÀQÌAvÀ ºÉZÁÑV É¼ÉzÀ PÉëÃvÀæªÀÅ

AiÀiÁªÀÅzÉÆAzÀÄ IÄvÀÄ«£À°è ¤ªÀé¼À ¨É¼É vÉUÉzÀÄPÉÆAqÀ PÉëÃvÀæªÀ£ÀÄß «ÄÃgÀ ÁgÀzÀÄ. F GzÉÞÃ±ÀPÉÌ ¥ÀÆªÀðªÀÄÄAUÁgÀÄ PÀÆqÀ MAzÀÄ IÄvÀÄªÉÃ DVgÀÄvÀÛzÉ. DzÀgÉ EAvÀºÀ ¸ÀAzÀ sÀðzÀ°è ºÀtÂÚ£ÀvÉÆÃl, sÁUÁAiÀÄvÀ ªÀÄvÀÄÛ ¥ÁèAmÉÃ±À£ï É¼ÉUÀ¼À ªÀÄzÉå É¼ÉzÀ IÄvÀÄPÁ°PÀ ¨É¼ÉUÀ¼À£ÀÄß ¸Á®ÄUÀ¼À ªÀÄzsÀåzÀ°è É¼ÉzÀ É¼ÉUÀ¼À£ÀÄß / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼À£ÀÄß ªÀiÁvÀæ Dgïn¹ PÁ®A 13 (15) gÀ°è ºÉ ÀgÀ£ÀÄß zÁR°¹ PÉëÃvÀæªÀ£ÀÄß PÁ®A 13 (16) gÀ°è

120

zÁR°¸À ÉÃPÀÄ. G½zÀ jÃwAiÀÄ É¼ÉUÀ¼À£ÀÄß F PÁ®A£À°è vÉÆÃj¸ÀvÀPÀÌzÀÝ®è. «Ä±Àæ É¼ÉUÀ¼À «ªÀgÀUÀ¼À£ÀÄß PÀÆqÀ E°è zÁR°¸À ÉÃPÁV®è.

14. ºÉÆ¸ÀzÁV £Án ªÀiÁrzÀ ºÀtÂÚ£À ªÀÄgÀzÀ ¸À¹UÀ¼À£ÀÄß ªÀÄvÀÄÛ §ºÀÄªÁ¶ðPÀ ¥ÁèAmÉÃ±À£ï É¼ÉUÀ¼À PÉëÃvÀæªÀ£ÀÄß É¼É CªÀj¹zÀ ¥ÀæzÉÃ±ÀªÉAzÉÃ ¥ÀjUÀtÂ À ÉÃPÀÄ.

PÀ©â£À É¼ÉAiÀÄ£ÀÄß ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ°è £ÀªÀÄÆ¢ ÀÄªÀ §UÉÎ «ªÀgÀuÉUÀ¼ÀÄ

15. PÀ§Äâ F gÁdåzÀ°è 10 jAzÀ 16 wAUÀ¼À É¼ÉAiÀiÁVzÀÝjAzÀ. MAzÉÃ É¼É JgÀqÀÄ CyðPÀ ªÀµÀð (¥ÀºÀtÂ ªÀµÀð) QÌAvÀ ºÉZÀÄÑ À® ¨É¼É vÀ¤SÉAiÀÄ ¸ÀªÀÄAiÀÄzÀ°è JtÂPÉUÉ ¹UÀ§ºÀÄzÁVzÉ. CzÉÃ jÃw PÉ® ¸ÀAzÀ sÀðzÀ°è MAzÉÃ ªÀµÀðzÀ°è (¥ÀºÀtÂ ªÀµÀð) £ÁnAiÀiÁV PÀmÁªÁUÀ§ºÀÄzÀÄ. PÀ©â£À É¼ÉAiÀÄ£ÀÄß PÀmÁªÀÅ DUÀ§ºÀÄzÁzÀzÀÄÝ –(ºÉZï) ªÀÄvÀÄÛ £ÁnAiÀiÁzÀzÀÄÝ – (¦) JAzÀÄ ªÀVðÃPÀj¸ÀÄªÁUÀ ¥ÁæxÀ«ÄPÀ PÁAiÀÄðPÀvÀðgÀÄ EAvÀºÀ É¼É PÉëÃvÀæªÀ£ÀÄß ªÀÄÄAzÉ £ÀªÀÄÆ¢¹zÀAvÉ ªÀVðÃPÀj¸À ÉÃPÀÄ. É¼É vÀ¤SÉAiÀÄ£ÀÄß ªÀiÁqÀ®Ä PÁ®UÀ¼À£ÀÄß ¤¢ðµÀÖ¥Àr¹zÀ ªÉÄÃ¯É PÀ©â£À É¼ÉAiÀÄ JtÂPÉAiÀÄ£ÀÄß gÁeÁåzÀåAvÀ F jÃw KPÀgÀÆ¥ÀUÉÆ½¸ÀÄªÀÅzÀÄ CUÀvÀå«zÉ.

a. PÀ©â£À É¼ÉAiÀÄ PÉëÃvÀæªÀ£ÀÄß ZÁ°Û ªÀµÀðzÀ°è £ÁnAiÀiÁVzÀÄÝ, CzÉÃ ªÀµÀð PÀmÁªÀÅ DUÀÄªÀÅ¢®èªÁzÀ°è D PÉëÃvÀæªÀ£ÀÄß PÀ§Äâ (¦) JAzÀÄ zÁR°¸À ÉÃPÀÄ. F jÃw £ÁnAiÀiÁzÀ PÀ§â£ÀÄß ¸ÀAzÀ sÀð£ÀÄ¸ÁgÀ ªÀÄÄAUÁgÀÄ, »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ IÄvÀÄ«£À°è £ÁnAiÀiÁzÀ PÉëÃvÀæzÀAvÉ ¥ÀævÉåÃPÀªÁV PÀ§Äâ (¦) JAzÀÄ zÁR°¸À ÉÃPÀÄ.

b. ZÁ°Û ªÀµÀðzÀ°è FUÁUÀ ÉÃ É¼É vÀ¤SÉAiÀÄ ¸ÀÜ¼ÀPÉÌ sÉÃnPÉÆlÖ ¢£ÁAPÀQÌAvÀ ªÉÆzÀ®Ä F ªÀµÀðzÀ°è ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è PÀmÁªÁzÀ PÉëÃvÀæªÀ£ÀÄß ÉÃjzÀAvÉ ZÁ°Û ªÀµÀðzÀ°è PÀmÁªÀÅ DUÀ§ºÀÄzÁzÀ PÉëÃvÀæªÀ£ÀÄß PÀ§Äâ (ºÉZï) JAzÀÄ ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è ªÀiÁvÀæ zÁR°¸À ÉÃPÀÄ.

c. CzÉÃ ªÀµÀð £ÁnAiÀiÁV CzÉÃ ªÀµÀð PÀmÁªÁzÀ PÉëÃvÀæ EzÀÝ°è CzÀ£ÀÄß PÀ§Äâ (ºÉZï) JAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ.

d. PÀ§Äâ PÉ® ¥ÀæzÉÃ±ÀzÀ°è 16 wAUÀ¼ÀÄUÀ¼ÀµÀÄÖ ¤AwgÀÄªÀ É¼ÉAiÀiÁVzÀÄÝ »A¢£À ªÀµÀð £Án DV ZÁ°Û ªÀµÀðzÀ°èAiÀÄÆ PÀmÁªÁUÀzÉÃ G½AiÀÄÄªÀ ¸ÀAzÀ sÀðUÀ½zÀÝ°è, EAvÀºÀ É¼ÉAiÀÄ£ÀÄß PÀ§Äâ (¦) JAzÉÃ ªÀVðÃPÀj¸À ÉÃPÀÄ.

GzÁºÀgÀuÉUÉ:- ªÀiÁZïð 2001£ÉÃ wAUÀ½£À°è £ÁnAiÀiÁzÀ PÀ©â£À É¼ÉAiÀÄ£ÀÄß dÄ¯ÉÊ 2002 gÀ°è PÀmÁªÀÅ ªÀiÁrzÉ. E°è 2000-1, 01-02, 02-03 »ÃUÉ 3 ªÀµÀð CzÉÃ PÀ©â£À ¨É¼É EzÉ. 2000-01, 01-02 gÀ°è F É¼ÉAiÀÄ£ÀÄß PÀ§Äâ (¦) JAzÀÄ, 02-03 gÀ°è É¼ÉAiÀÄ£ÀÄß (¸ÀÜ¼À vÀ¤SÉVAvÀ ªÀÄÄAavÀªÁV PÀmÁªÁV sÉÃn PÁ®PÉÌ D ¸ÀÜ¼ÀzÀ°è ÉÃgÉ É¼É EzÀÝgÀÆ ¸ÀºÀ) PÀ§Äâ (ºÉZï) JAzÀÄ zÁR°¸À ÉÃPÀÄ.

DzÀgÉ »A¢£À ªÀµÀð PÀ§Äâ (ºÉZï) JAzÀÄ zÁR¯ÁzÀ É¼É C¤ªÁAiÀÄð PÁgÀt¢AzÀ PÀmÁªÁUÀzÉÃ ¤AwzÀÝgÉ CzÀ£ÀÄß PÀqÉUÀtÂ À ÉÃPÀÄ. CzÀ£ÀÄß ¥ÀÄ£À: PÀ§Äâ (ºÉZï) JAzÀÄ zÁR°¸À¨ÁgÀzÀÄ.

121

e. É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ ¸ÀÜ¼ÀzÀ°è ¨ÉÃgÉ É¼É EzÀÝgÀÆ, PÀ§Äâ ZÁ°Û ªÀµÀðzÀ°è FUÁUÀ ÉÃ PÀmÁªÀÅ DVzÀÝ°è DAvÀºÀ PÉëÃvÀæªÀ£ÀÄß gÉÊvÀjAzÀ CxÀªÁ ¸ÀÜ½ÃAiÀÄ vÀ¤SÉ¬ÄAzÀ w½zÀÄ, PÀ§Äâ (ºÉZï) JAzÀÄ vÀ¥ÀàzÉ zÁR°¸À ÉÃPÀÄ.

f. ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è »A¢£À ªÀµÀðzÀ°è (¦) JAzÀÄ zÁR°¹zÀÝ, PÀ§Äâ PÀmÁªÁV D£ÀAvÀgÀ ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è CzÉÃ eÁUÀ (d«ÄÃ£ÀÄ)zÀ°è ÉÃgÉ ¨É¼É É¼ÉzÁUÀ, ªÉÆzÀ®Ä PÀ§â£ÀÄß (ºÉZï) JAzÀÄ zÁR°¹ £ÀAvÀgÀ É¼ÉzÀ É¼ÉAiÀÄ£ÀÄß zÁR°¸À ÉÃPÀÄ.

g. CzÉÃ jÃw ªÀÄÄAUÁgÀÄ/»AUÁgÀÄ IÄvÀÄ«£À°è ÉÃgÉ É¼É É¼É¢zÀÄÝ, £ÀAvÀgÀ PÀ§â£ÀÄß É¼ÉzÀ°è ªÉÆzÀ®Ä É¼ÉzÀ É¼ÉAiÀÄ£ÀÄß DAiÀiÁ IÄvÀÄ«UÉ C£ÀÄUÀÄtªÁV ªÀÄÄAUÁgÀÄ/

»AUÁgÀÄ/ ÉÃ¹UÉ IÄvÀÄ«£À°è zÁR°¹ £ÀAvÀgÀ PÀ§â£ÀÄß ªÀÄÄAUÁgÀÄ/»AUÁgÀÄ/ ÉÃ¹UÉ IÄvÀÄ«£À°è (¦) JAzÀÄ zÁR°¸À ÉÃPÀÄ.

h. ªÀÄÄAUÁgÀÄ, »AUÁgÀÄ IÄvÀÄ«£À°è PÀ§Äâ PÀmÁªÁV ªÀÄvÉÛ PÀÆ¼ÉAiÀiÁVAiÀiÁUÀ°Ã CxÀªÁ ºÉÆ¸ÀzÁVAiÀiÁUÀ°Ã £Án ªÀiÁr PÀ§â£ÀÄß É¼ÉzÀ°è CzÀ£ÀÄß ªÀÄÄAUÁgÀÄ/»AUÁgÀÄ IÄvÀÄ«£À°è PÀ§Äâ (ºÉZï) JAzÀÄ zÁR°¹ ªÀÄÄA¢£À IÄvÀÄ«£À°è PÀ§Äâ (¦) JAzÀÄ zÁR°¸À ÉÃPÀÄ ºÁUÀÆ PÀ§Äâ (¦) JAzÀÄ zÁR°¹zÀ F ¥ÀæzÉÃ±ÀªÀÅ MAzÀQÌAvÀ ºÉZÀÄÑ ¸À® É¼ÉAiÀiÁzÀ PÉëÃvÀæªÁVgÀÄvÀÛzÉ. F ¸ÀAzÀ sÀðzÀ°è ¤ÃgÁªÀj «¹ÛÃtðªÀ£ÀÄß zÁR°¸ÀÄªÁUÀ MmÁÖgÉAiÀiÁV MAzÉÃ ¨Áj ¤ÃgÁªÀjAiÀiÁzÀ PÉëÃvÀæªÉAzÀÄ zÁR°¸À ÉÃPÀÄ.

¸ÀPÁðgÀzÀ DzÉÃ±ÀzÀAvÉ É¼É vÀ¤SÉAiÀÄ£ÀÄß UÁæªÀÄ¯ÉPÁÌ¢üPÁjUÀ¼ÀÄ, PÀÈ¶ ¸ÀºÁAiÀÄPÀgÀÄ ªÀÄvÀÄÛ ¤ÃgÁªÀj E¯ÁSÉAiÀÄ PÁAiÀÄð ¤jÃPÀëPÀgÀÄ dAnAiÀiÁV £ÀqÉ À ÉÃPÁVgÀÄvÀÛzÉ.

¤ÃgÁªÀjAiÀiÁzÀ J¯Áè ¨É¼ÉUÀ¼À ¤ÃgÁªÀj «ªÀgÀªÀ£ÀÄß ¤¢ðµÀÖ¥Àr¸À ÁzÀ EAVèÃµï ¸ÀAPÉÃvÀ CPÀëgÀzÀ°è §gÉAiÀÄ ÉÃPÀÄ. GzÁºÀgÀuÉ: ¹-3 (r-3) –E EvÁå¢. PÉ®ªÀÅ É¼ÉUÀ¼ÀÄ ¤ÃgÁªÀj E®èzÉÃ É¼ÉAiÀÄÄªÀÅzÉÃ E®è. GzÁºÀgÀuÉ: PÀ§Äâ, »AUÁj sÀvÀÛ, ÉÃ¹UÉ sÀvÀÛ EvÁå¢. EªÀÅUÀ¼À §UÉÎ ¤ÃgÁªÀj

¸ÀAPÉÃvÀUÀ¼À£ÀÄß PÁ®A 13 gÀ (13) gÀ°è vÀ¥ÀàzÉÃ £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

«Ä±Àæ É¼ÉUÀ½UÉ PÉëÃvÀæÀ £ÀªÀÄÆzÀÄ ªÀiÁqÀÄªÀ PÀÄjvÀÄ «ªÀgÀuÉUÀ¼ÀÄ

«Ä±Àæ É¼ÉUÀ¼ÀÄ JAzÀgÉ MAzÉÃ PÉëÃvÀæzÀ°è 2 CxÀªÁ ºÉZÀÄÑ É¼ÉUÀ¼À£ÀÄß JPÀPÁ®zÀ°è ©vÀÛ£ÉªÀiÁr É¼ÉAiÀÄÄªÀ ÉÃ¸ÁAiÀÄ ¥ÀzÀÝwUÉ “«Ä±Àæ É¼É ¨ÉÃ¸ÁAiÀÄ’’ JAzÀÄ PÀgÉAiÀÄÄvÁÛgÉ.

MAzÀÄ É¼ÉAiÀÄ eÉÆvÉUÉ ªÀÄvÉÆÛAzÀÄ CxÀªÁ MAzÀQÌAvÀ ºÉZÀÄÑ É¼ÉUÀ¼À£ÀÄß ¥ÀævÉåÃPÀ ¸Á®Ä CxÀªÁ ¸Á®ÄUÀ¼À°èAiÉÄÃ «Ä²ævÀ gÀÆ¥ÀzÀ°è É¼ÉAiÀÄÄªÀ ªÁrPÉ ºÉZÁÑV GvÀÛgÀ ¨sÁUÀzÀ f¯ÉèUÀ¼À°èzÉ.

F jÃw É¼ÉUÀ¼À£ÀÄß ¸Á®ÄUÀ¼À°è «Ä²ævÀªÁV CxÀªÁ «Ä²ævÀ ©ÃdUÀ½AzÀ ©wÛzÀ°è ©wÛzÀ É¼ÉUÀ¼À «¹ÛÃtðzÀ CAzÁdÄ PÉ¼ÀV£À GzÁºÀgÀuÉ-1 gÀ°è w½¹gÀÄªÀ jÃwAiÀÄ°è ªÀiÁqÀ ÉÃPÀÄ.

GzÁºÀgÀuÉ (1) : MAzÀÄ JPÀgÉ 5 UÀÄAmÉ «¹ÛÃtðzÀ°è eÉÆÃ¼À ªÀÄvÀÄÛ ºÀwÛAiÀÄ£ÀÄß ¥Àæw 12 ¸Á®Ä eÉÆÃ¼ÀPÉÌ ªÀÄÆgÀÄ ¸Á®ÄUÀ¼À ºÀwÛAiÀÄAvÉ É¼ÉzÁUÀ,

E°è MlÄÖ «¹ÛÃtð 1 JPÀgÉ 5 UÀÄAmÉ CAzÀgÉ 45 UÀÄAmÉUÀ¼ÀÄ.

CzÀgÀ°è

122

eÉÆÃ¼ÀzÀ «¹ÛÃtðªÀÅ = 12 ¸Á®ÄUÀ¼ÀÄ x 45 UÀÄAmÉ

15 ¸Á®ÄUÀ¼ÀÄ

CAzÀgÉ 36 UÀÄAmÉ DUÀÄvÀÛzÉ.

ºÀwÛAiÀÄ «¹ÛÃtðªÀÅ = 3 ¸Á®ÄUÀ¼ÀÄ x 45 UÀÄAmÉ

15 ¸Á®ÄUÀ¼ÀÄ

CAzÀgÉ 9 UÀÄAmÉ DUÀÄvÀÛzÉ.

GzÁºÀgÀuÉ (2) : ©ÃdUÀ¼À£ÀÄß «Ä±Àæ ªÀiÁr ZÉ°èzÁUÀ: PÉ®ªÀÅ ªÉÃ¼É ¸Á®ÄUÀ¼À°è É¼ÉAiÀÄ£ÀÄß É¼ÀAiÀÄzÉ ©ÃdUÀ¼À£ÀÄß ©vÀÛ£É PÁ®zÀ°è «Ä±Àæ ªÀiÁr ©vÀÄÛvÁÛgÉ. 21 UÀÄAmÉ «¹ÛÃtðzÀ°è 3 PÉ.f.

eÉÆÃ¼ÀªÀ£ÀÄß 1 PÉ.f. ºÀÄgÀÄ½AiÀÄ£ÀÄß «Ä±Àæ ªÀiÁr ©vÀÛ£É ªÀiÁrgÀÄvÁÛgÉ. ¸ÁªÀiÁ£ÀåªÁV CµÉÖÃ «¹ÛÃtðzÀ°è eÉÆÃ¼À CxÀªÁ ºÀÄgÀÄ½ ©wÛzÀÝ°è 6 PÉ.f. eÉÆÃ¼À CxÀªÁ 4 PÉ.f. ºÀÄgÀÄ½ ©vÀÛ§ºÀÄzÀÄ. DzÀÝjAzÀ eÉÆÃ¼À ªÀÄvÀÄÛ ºÀÄgÀÄ½AiÀÄ CAzÁdÄ «¹ÛÃtðªÀÅ 3/6:1/4 = CxÀªÁ 1/2:1/4 CxÀªÁ 2:1, CAzÀgÉ 14 UÀÄAmÉ eÉÆ¼À, 7 UÀÄAmÉ ºÀÄgÀÄ½AiÀiÁVgÀÄvÀÛzÉ.

GzÁºÀgÀuÉ (3) : MlÄÖ PÉëÃvÀæ 3.00 JPÀgÉ, CzÀgÀ°è vÉAUÀÄ É¼É¢zÉ. ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è vÉAV£À ªÀÄgÀzÀ ªÀÄzsÀåzÀ°è 16 PÉ.f. ºÉ ÀgÀ£ÀÄß ©wÛzÉ. F PÉëÃvÀæªÀÅ 2 JPÀgÉ DUÀÄvÀÛzÉÉ. DUÀ ªÉÆzÀ® ¨É¼É É¼ÉzÀ PÉëÃvÀæzÀ CAzÀgÉ 3 JPÀgÉ vÉAV£À PÉëÃvÀæªÀ£ÀÄß ¥ÀºÀtÂAiÀÄ PÁ®A 13 (10) gÀ°è zÁR®Ä ªÀiÁqÀ ÉÃPÀÄ.

E°è vÉAUÀÄ §ºÀÄªÁ¶ðPÀ É¼ÉAiÀiÁzÀÄzÀÝjAzÀ CzÀgÀ ªÀÄzsÀåzÀ IÄvÀÄPÁ°PÀ É¼É (ºÉ ÀgÀÄ) MAzÀQÌAvÀ ºÉZÀÄÑ¨Áj É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ ¥ÀjUÀtÂ¹, ¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ PÁ®A 13(15) ºÉ¸ÀgÀÄ É¼É £ÀªÀÄÆ¢¹ 13(16) ºÉ ÀgÀÄ É¼ÉAiÀÄ PÉëÃvÀæªÀ£ÀÄß 2 JPÀgÉ JAzÀÄ zÁR°¸À ÉÃPÀÄ.

GzÁºÀgÀuÉ (4) : ¥ÀÆwðAiÀiÁV ¸ÁUÀÄªÀ½AiÀiÁzÀ MAzÀÄ ¸ÀªÉð £ÀA§gï£À 24 JPÀgÉ 28 UÀÄAmÉUÀÀ¼À°è 392 vÉAV£À ªÀÄgÀUÀ½ªÉ. vÉAV£À ªÀÄgÀUÀ¼À ªÀÄzsÀåªÀÇ ¸ÉÃjzÀAvÉ MlÄÖ 18040 CrPÉ ªÀÄgÀUÀ½ªÉ. F CrPÉ ªÀÄgÀUÀ½UÉ 12.14 JPÀgÉ PÉëÃvÀæzÀ°è PÀjªÉÄt¹£À §½îUÀ¼À£ÀÄß £ÉqÀ ÁVzÉ. G½zÀ 12.14 JPÀgÉ PÉëÃvÀæzÀ°è J¯É §½îUÀ¼ÀÄ EªÉ. É¼ÉUÀ¼À ªÀÄzsÉå ¸ÀªÀiÁ£À CAvÀgÀzÀ ÉÃ¸ÁAiÀÄ PÀæªÀÄzÀAvÉ 15125 AiÀiÁ®QÌ VqÀUÀ¼À£ÀÄß £ÀqÉ ÁVzÉ.

E°è §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß ªÀÄvÀÄÛ ¸ÁA¥ÀæzÁ¬ÄPÀªÁV vÉÆÃlzÀ É¼É : ¥ÁèAmÉÃ±À£ï É¼É : sÁUÁAiÀÄvÀ É¼É : ºÀtÂÚ£À vÉÆÃlzÀ ªÀÄzsÉå É¼ÉAiÀÄ®àqÀÄªÀ ¸Á®Ä É¼É / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼À£ÀÄß

¸ÀjAiÀiÁV UÀÄgÀÄw¸À ÉÃPÀÄ. F GzÁºÀgÀuÉAiÀÄ°è PÁ¼ÀÄ ªÉÄt¹£À§½î, «Ã¼ÀåzÉ É §½î ªÀÄvÀÄÛ AiÀiÁ®QÌ VqÀUÀ¼ÀÄ CAvÀgÀ ¨É¼É / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁVªÉ. (Inter row relay crop) F É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ w½AiÀÄ ÉÃPÀÄ.

JgÀqÀ£ÉAiÀÄzÁV ªÀÄÄRå §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß VqÀªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄ DzsÁgÀzÀ ªÉÄÃ¯É É¼É EgÀÄªÀ ¤ªÀé¼À PÉëÃvÀæPÉÌ CzÉÃ C£ÀÄ¥ÁvÀzÀ°ègÀÄªÀAvÉ zÁR°¸À ÉÃPÀÄ. CzÀÄ MlÄÖ É¼É EgÀÄªÀ ¤ªÀé¼À PÉëÃvÀæQÌAvÀ ºÉZÁÑUÀ¨ÁgÀzÀÄ.

CzÀgÀAvÉ MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj ¨É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ UÀÄgÀÄw¸À ÁzÀ ¨É¼ÉUÀ¼À MlÄÖ ªÉÆvÀÛªÀÅ ¤ªÀé¼À É¼ÉAiÀiÁzÀ PÉëÃvÀæªÀ£ÀÄß «ÄÃgÀ ÁgÀzÀÄ.

²¥sÁgÀ¹ì£ÀAvÉ vÉAV£À ªÀÄgÀ JPÀgÉUÉ 72, CrPÉ ªÀÄgÀ JPÀgÉUÉ 830 EzÀÝgÉ, E°è VqÀªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄAvÉ PÉëÃvÀæ ¯ÉPÀÌ ºÁQzÀ°è vÉAUÀÄ 5 JPÀgÉ 18 UÀÄAmÉ DUÀÄvÀÛzÉ. CrPÉ 21 JPÀgÉ 30 UÀÄAmÉ DUÀÄvÀÛzÉ. DzÀgÉ E°è MlÄÖ PÉëÃvÀæ 24 JPÀgÉ 28 UÀÄAmÉ ªÀiÁvÀæ EzÉ. EzÀ£ÀÄß CAPÀUÀtÂvÀzÀ C£ÀÄ¥ÁvÀzÀAvÉ ¯ÉPÀÌ ºÁQ MlÄÖ PÉëÃvÀæPÉÌ ¸ÀjºÉÆA¢¸À ÉÃPÀÄ.

123

ºÉÃUÉAzÀgÉ, ²¥sÁgÀ¹ì£ÀAvÉ vÉAV£À ªÀÄgÀ JPÀgÉUÉ 72 CrPÉ ªÀÄgÀ JPÀgÉUÉ 830 EzÉ.

DzÀÝjAzÀ,

392 vÉAV£À ªÀÄgÀUÀ¼ÀÄ CAzÀgÉ (392 / 72)= 5.44 (5 JPÀgÉ 44 ¸ÉAlì)

18042 CrPÉ ªÀÄgÀUÀ¼ÀÄ, CAzÀgÉ (18040/830) = 21.74 (21 JPÀgÉ 74 ¸ÉAlì)

E°è MlÄÖ PÉëÃvÀæ 24 JPÀgÉ 28 UÀÄAmÉ (CAzÀgÉ 24 JPÀgÉ 70 ¸ÉAlì) ªÀiÁvÀæ EgÀÄªÀÅzÀjAzÀ EzÀ£ÀÄß F jÃw C£ÀÄ¥ÁvÀzÀAvÉ ¯ÉPÀÌ ºÁPÀ ÉÃPÀÄ.

vÉAUÀÄ PÉëÃvÀæ = 5.44 x 24.70 = 4.94 JPÀgÉ ¸ÉAmïì

27.20 CxÀªÁ 4.38 JPÀgÉ UÀÄAmÉ

CrPÉ PÉëÃvÀæ = 21.74 x 24.70 19. 74 JPÀgÉ ¸ÉAmïì

27.20 CxÀªÁ 19.30 JPÀgÉ UÀÄAmÉ

E°è F §ºÀÄªÁ¶ðPÀ ¨É¼ÉUÀ¼À£ÀÄß ªÉÆzÀ®Ä ¥ÀjUÀtÂ À ÉÃPÀÄ CAzÀgÉ C«Ä±Àæ É¼É

J.UÀÄ

vÉAUÀÄ 4.38

CrPÉ 19.30 JAzÀÄ ¥ÀºÀtÂAiÀÄ°è PÁ®A

13 (10) gÀ°è vÉÆÃj¸À ÉÃPÀÄ.

F vÉÆÃlzÀ ªÀÄzsÉå ¨É¼ÉzÀ É¼ÉAiÀÄ£ÀÄß GzÁºÀgÀuÉAiÀÄ°è PÁ¼ÀÄ ªÉÄt¹£À §½î, «¼ÀåzÉ É §½î ªÀÄvÀÄÛ AiÀiÁ®QÌ VqÀUÀ¼ÀÄ (UÀÄA¥ÀÄUÀ¼ÀÄ) CAvÀgÀ É¼É / ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁVªÉ. F É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ¨Áj É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ w½AiÀÄ ÉÃPÀÄ. E°è MAzÀQÌAvÀ ºÉZÁÑV ¨É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀUÀ¼ÉAzÀÄ ¥ÀjUÀtÂ¹zÀ É¼ÉUÀ¼À ªÉÆvÀÛ (12.14 JPÀgÉ PÀjªÉÄt¸ÀÄ + 12.14 JPÀgÉ «¼ÀåzÉ É + 12.14 JPÀgÉ AiÀiÁ®QÌ) = 37 JPÀgÉ 2 UÀÄAmÉAiÀiÁUÀÄvÀÛzÉ.

DzÀgÉ MAzÀQÌAvÀ ºÉZÀÄÑ Áj É¼ÉAiÀiÁzÀ ¥ÀæzÉÃ±ÀªÉAzÀÄ UÀÄgÀÄw¸À ÁzÀ F É¼ÉUÀ¼À MlÄÖ ªÉÆvÀÛªÀÅ ¤ªÀé¼À É¼ÉAiÀiÁzÀ PÉëÃvÀæPÉÌ «ÄÃgÀ¨ÁgÀzÀÄ.

DzÀÝjAzÀ EzÀ£ÀÄß ªÉÄÃ°£À ¥ÀzÀÝwAiÀÄAvÉ C£ÀÄ¥ÁvÀzÀ°è ¥ÀjªÀwð¹zÁUÀ ¥Àæw É¼É PÉëÃvÀæ

12.14 x 24.70 = 8 JPÀgÉ 23 ¸ÉAmïì

37.05 CxÀªÁ 8 JPÀgÉ 9 UÀÄAmÉ

»ÃUÉ MlÄÖ 24 JPÀgÉ 28 UÀÄAmÉ eÁUÀzÀ°è EgÀÄªÀ É¼ÉUÀ¼À MlÄÖ CAzÁdÄ «¹ÛÃtð :

J. UÀÄA.

vÉAUÀÄ: 4.38

CrPÉ: 19.30

AiÀiÁ®QÌ 8.09

PÀjªÉÄt¸ÀÄ 8.09

«Ã¼ÀåzÉ É 8.09

124

AiÀiÁ®QÌ, PÀjªÉÄt¸ÀÄ, «¼ÀåzÉ É EªÀÅ ¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁVzÀÝjAzÀ ªÀiÁUÀð¸ÀÆZÀ£ÉUÀ¼ÀAvÉ EªÀÅUÀ¼À£ÀÄß ¥ÀºÀtÂAiÀÄ PÁ®A 13(15) ºÁUÀÆ 13(16) gÀ°è £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

ªÉÆ¼ÀPÉ MqÉAiÀÄ¢zÁÝUÀ gÉÊvÀ CzÉÃ d«ÄÃ¤£Àß°è ÉÃgÉ É¼ÉUÀ¼À£ÀÄß É¼ÉzÁUÀ £ÀAvÀgÀ É¼ÉzÀ É¼ÉAiÀÄ£ÀÄß ªÀiÁvÀæ zÁR° À ÉÃPÀÄ

GzÁºÀgÀuÉ 5:-

ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è JgÀqÀÄ JPÀgÉ PÉëÃvÀæzÀ°è gÁV ©vÀÛ¯Á¬ÄvÀÄ. ©Ãd PÀ¼ÀPÀ½AiÀiÁV ªÉÆ¼ÀPÉ MqÉAiÀÄ¯ÉÃ E®è. ªÀÄvÉÛ G½ªÉÄ ªÀiÁr ºÀÄgÀÄ½ ©wÛ É¼É vÉUÉ¢zÁÝ£É. gÉÊvÀ vÉUÉzÀÄ ºÁQzÀ gÁV É¼ÉAiÀÄ£ÀÄß zÁR°¸À¨ÁgÀzÀÄ. ºÀÄgÀÄ½ É¼ÉAiÀÄ£ÀÄß ªÀiÁvÀæ zÁR°¸À ÉÃPÀÄ.

ªÀÄ¼É PÉÆgÀvÉ¬ÄAzÀ É¼É MtV ºÉÆÃVzÀÝgÀÆ ¥ÀºÀtÂAiÀÄ°è É¼ÉAiÀÄ£ÀÄß zÁR° À ÉÃPÀÄ

GzÁºÀgÀuÉ 6:-

5.00 JPÀgÉ PÉëÃvÀæzÀ°è eÉÆÃ¼À ©vÀÛ£ÉAiÀiÁVzÉ. ©Ãd ªÉÆ¼ÀPÉ MqÉzÀÄ 10-11 EAZÀÄ JvÀÛgÀ VqÀªÁV MtV ºÉÆÃVzÉ, £ÀAvÀgÀ AiÀiÁªÀÅzÉÃ É¼É DV®è. ªÀÄ¼É PÉÆgÀvÉ¬ÄAzÀ ©vÀÛ£ÉAiÀiÁzÀ eÉÆÃ¼ÀzÀ É¼É MtV ºÉÆÃVzÀÝgÀÆ ¥ÀºÀtÂAiÀÄ°è eÉÆÃ¼ÀzÀ ¨É¼ÉAiÀÄ£ÀÄß zÁR°¸À ÉÃPÀÄ.

PÁqÀÄ ¥ÁætÂUÀ¼ÀÄ, zÀ£ÀUÀ¼ÀÄ É¼É ºÁ¼ÀÄ ªÀiÁrzÀÝgÀÆ ¥ÀºÀtÂAiÀÄ°è PÉëÃvÀæ zÁR° À ÉÃPÀÄ

GzÁºÀgÀuÉ 7:-

6 JPÀgÉ sÀvÀÛ É¼ÉzÀ PÉëÃvÀæzÀ°è 5 JPÀgÉ sÀvÀÛ PÉëÃvÀæªÀ£ÀÄß PÁqÀÄ ºÀA¢UÀ¼ÀÄ vÀÄ½zÀÄ ºÁ¼ÀÄ ªÀiÁrªÉ. gÉÊvÀ MAzÀÄ JPÀgÉ sÀvÀÛzÀ ¨É¼ÉAiÀÄ£ÀÄß ªÀiÁvÀæ PÀmÁªÀÅ ªÀiÁrzÁÝ£É. DzÁUÀÆå ¥ÀºÀtÂAiÀÄ°è 6 JPÀgÉ sÀvÀÛzÀ PÉëÃvÀæªÀ£ÉßÃ zÁR°¸À ÉÃPÀÄ.

¥ÀºÀtÂAiÀÄ LlA 12 ªÀÄvÀÄÛ 13 gÀ MlÄÖ 16 PÁ®AUÀ¼À°è sÀÆ-G¥ÀAiÉÆÃUÀ ªÀÄvÀÄÛ É¼ÉUÀ½UÉ ÀA§A¢ü¹zÀAvÉ ªÀiÁ»w ÀAUÀæ»¹ zÁR° ÀÄªÀ PÀÄjvÀÄ F PÉ¼ÀV£À GzÁºÀgÀuÉUÀ¼À°è

«ªÀj À¯ÁVzÉ.

GzÁºÀgÀuÉ 8:-

2009-10£ÉÃ ¸Á°£À ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ MAzÀÄ JPÀgÉ PÉëÃvÀæzÀ gÉÊvÀ£À d«ÄÃ¤£À°è 2 eÉÆÃ¼ÀzÀ ¸Á°UÉ MAzÀÄ vÉÆUÀj ¸Á®£ÀÄß ©vÀÛ¯ÁVvÀÄÛ. ¤ÃgÁªÀj DVgÀ°®è.

¥ÀºÀtÂ ¥ÀwæPÉAiÀÄ°è F PÉ¼ÀV£ÀAvÉ EzÀ£ÀÄß ¸ÀA§A¢ü¹zÀ PÁ®AUÀ¼À°è £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

MAzÀÄ JPÀgÉ =40 UÀÄAmÉ







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)

2009-10 ªÀÄÄAUÁgÀÄ

eÉÆÃ¼À - 0.27 0.27 - - - -

vÉÆUÀj - 0.13 0.13 - - - -

125

F GzÁºÀgÀtÂAiÀÄ°è MAzÀÄ JPÀgÉAiÀÄ£ÀÄß, eÉÆÃ¼À ºÁUÀÆ vÉÆUÀj É¼ÉUÀ½UÉ ¸ÀA§A¢ü¹zÀAvÉ ¸Á®ÄUÀ¼ÀÀ zÀgÀzÀ°è (Prorata) (zÀgÀ ÉÆÃqÀ) «¹ÛÃtðªÀ£ÀÄß ºÀAZÀ ÁVgÀÄªÀÅzÀ£ÀÄß UÀªÀÄ¤¸À§ºÀÄzÀÄ.

GzÁºÀgÀuÉ:9

2009-10£ÉÃ ¸Á°£À ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ 10 JPÀgÉ 20 UÀÄAmÉ PÉëÃvÀæzÀ°è UÉÆÃ«£À eÉÆÃ¼À, ºÀwÛ ªÀÄvÀÄÛ C®¸ÀA¢AiÀÄ£ÀÄß É¼ÉAiÀÄ¯ÁVzÀÄÝ, J¯Áè ¸Á®ÄUÀ¼À°èAiÀÄ É¼ÉAiÀÄ GzÀÝªÀ£ÀÄß ºÉeÉÓUÀ¼À°è C¼ÉzÁUÀ,

800 ºÉeÉÓ ¸Á®Ä = UÉÆÃ«£ÀeÉÆÃ¼À

600 ºÉeÉÓ ¸Á®Ä = ºÀwÛ

700 ºÉeÉÓ ¸Á®Ä = C®¸ÀA¢

MlÄÖ 2100 ºÉeÉÓ ¸Á®Ä

¤ÃgÁªÀjAiÀiÁVgÀÄªÀÅ¢®è

EzÀ£ÀÄß ¥ÀºÀtÂAiÀÄ°è F PÉ¼ÀV£ÀAvÉ zÁR°¸À ÉÃPÀÄ







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


eÉÆÃ¼À - 4.00 4.00 - - - -

ºÀwÛ - 3.00 3.00 - - - -

C®¸ÀA¢ - 3.20 3.20 - - - -

CAzÀgÉ 800:600:700 ¸Á®ÄUÀ¼À C£ÀÄ¥ÁvÀzÀ°è É¼ÉUÀ¼ÀÄ EªÉ. DUÀ MlÄÖ EgÀÄªÀ 420 UÀÄAmÉAiÀÄ°è (10 JPÀgÉ 20 UÀÄAmÉ) – 160 UÀÄAmÉ (4 JPÀgÉ) UÉÆÃ«£À eÉÆÃ¼À, 120 UÀÄAmÉ (3 JPÀgÉ) ºÀwÛ 140 UÀÄAmÉ (3 JPÀgÉ 20 UÀÄAmÉ) C®¸ÀA¢ EzÀÝAvÁ¬ÄvÀÄ.

GzÁºÀgÀuÉ 10:

2009-10 £ÉÃ ¸Á°£À ªÀÄÄAUÁj IÄvÀÄ«£À É¼É vÀ¤SÉUÉ ¸É¥ÉÖA§gï ªÉÆzÀ®£ÉÃ ªÁgÀ ºÉÆÃzÁUÀ 10 JPÀgÉ PÉëÃvÀæzÀ ¸ÀªÉð £ÀA§gï MAzÀgÀ°è 5 JPÀgÉ »A¢£À ªÀµÀðzÀ°è (2008-09) gÀ°è £ÁnAiÀiÁzÀ 5 JPÀgÉ PÀ©â£À ¤AvÀ É¼É¬ÄzÉ. G½zÀ 5 JPÀgÉ ªÀÄÄAUÁgÀÄ 2008-09 gÀ°è PÀ§Äâ ºÉÆ¸ÀzÁV £ÁnAiÀiÁV dÄ¯ÉÊ 2009 gÀ°è PÀmÁªÀÅ DV D PÉëÃvÀæzÀ°è 2 JPÀgÉ sÀvÀÛ (C.E.) EzÉ. G½zÀ ªÀÄÆgÀÄ JPÀgÉ SÁ° eÁUÀ EzÉ.

ªÀÄzsÀåªÀÄ ¤ÃgÁªÀj PÁ®ÄªÉ¬ÄAzÀ ¤ÃgÁªÀjAiÀiÁVzÉ. ¤AwgÀÄªÀ 5 JPÀgÉ PÀ©â£À É¼É 2008-09 ªÀiÁZïð£À°è £ÁnAiÀiÁV 2009-10 (ZÁ°Û) ¸Á°£À®Æè PÀmÁªÀÅ ªÀiÁqÀ ÁUÀÄªÀÅ¢®è JA§ÄzÁV vÀ¤SÉ¬ÄAzÀ w½zÀÄ §A¢zÉ.

126

ªÀÀµÀðzÀ ¥ÁægÀA sÀzÀ°è 10 JPÀgÉ ¤AvÀ »A¢£À ªÀµÀðzÀ (2008-09) PÀ©â£À É¼É EvÀÄÛ. CzÀgÀ°è 5 JPÀgÉ FUÁUÀ¯ÉÃ PÀmÁªÀÅ DVzÀÄÝ, G½zÀ 5 JPÀgÉ 2008-09 ÉÃ¹UÉ PÉÆ£ÉAiÀÄ°è £ÁnAiÀiÁVzÀÄÝ, F PÉëÃvÀæªÀ£ÀÄß 2009-10 £ÉÃ ¸Á°£À°è PÀmÁªÀÅ ªÀiÁqÀÄªÀÅ¢®èªÁV vÀ¤SÉ¬ÄAzÀ w½zÀÄ §A¢zÀjAzÀ EzÀ£ÀÄß 2009-10 £ÉÃ ¸Á°£À°è (¦) JAzÉÃ vÉÆÃj¸À ÉÃPÀÄ. ¸ÀA§A¢ü¹zÀ ªÀµÀðzÀ PÀ©â£À (ºÉZï) CAzÀgÉ ªÀµÀðzÀ ¥ÁægÀA sÀzÀ°è EzÀÄÝ, ¸É¥ÉÖA§gï ªÉÆzÀ®ªÁgÀQÌAvÀ ªÉÆzÀ®Ä PÀmÁªÁzÀ 5 JPÀgÉ PÉëÃvÀæªÀ£ÀÄß ªÀiÁvÀæ D ªÀµÀðzÀ ¸ÀPÀÌgÉ GvÁàzÀ£É §UÉÎ UÀªÀÄ£ÀPÉÌ vÉUÉzÀÄPÉÆ¼Àî¯ÁUÀÄvÀÛzÉ. DzÀÝÀjAzÀ ªÁ¸ÀÛªÀªÁV PÀmÁªÁUÀÄªÀ 5 JPÀgÉ PÉëÃvÀæªÀ£ÀÄß ªÀiÁvÀæ PÀ§Äâ (ºÉZï) JAzÀÄ zÁR°¸À ÉÃPÀÄ. E°è ¤ªÀé¼À É¼É vÉUÉzÀÄPÉÆAqÀ PÉëÃvÀæ 10 JPÀgÉ ªÀÄvÀÄÛ MlÄÖ ©vÀÛ£ÉAiÀiÁzÀ PÉëÃvÀæ 12 JPÀgÉ, MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj É¼ÉAiÀiÁzÀ PÉëÃvÀæ 2 JPÀgÉ DUÀÄvÀÛzÉ.

EzÀ£ÀÄß ¥ÀºÀtÂAiÀÄ°è F PÉ¼ÀV£ÀAvÉ §gÉAiÀÄ¨ÉÃPÀÄ.







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


PÀ§Äâ (ºÉZï) 5.00 - 5.00 J-2 - - -

PÀ§Äâ (¦) 5.00 - 5.00 J-2 - - -

sÀvÀÛ (ºÉZï) 2.00 - 2.00 J-2 - - -

GzÁºÀgÀuÉ 11:

2009-10 £ÉÃ ¸Á°£À »AUÁgÀÄ ºÀAUÁ«Ä£À°è 10 JPÀgÉ PÉëÃvÀæzÀ°è, UÀÄqÀØ¢AzÀ ºÀjzÀÄ §gÀÄªÀ ¤ÃgÀ£ÀÄß G¥ÀAiÉÆÃV¹ ¸ÀÜ½ÃAiÀÄ sÀvÀÛ 5.00 JPÀgÉ É¼É¢zÁÝgÉ. G½zÀ 5.0 JPÀgÉ C¢üPÀ E¼ÀÄªÀj sÀvÀÛ ¸ÀtÚ ¤ÃgÁªÀj PÉgÉ¬ÄAzÀ vÉÊ®AiÀÄAvÀæ¢AzÀ ¤ÃgÉwÛ É¼É¢zÁÝgÉ. F ªÀiÁ»wAiÀÄ£ÀÄß PÉ¼ÀV£ÀAvÉ ¥ÀºÀtÂAiÀÄ°è zÁR°¸À ÉÃPÀÄ.







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)

2009-10 »AUÁgÀÄ

sÀvÀÛ (¸ÀÜ) 5.00 - 5.00 PÉ-3 - - -

sÀvÀÛ (D.E) 5.00 - 5.00 (¹-3)+ M - - -

127

PÁ®A 15, 16 gÀ°è É¼ÉUÀ¼À£ÀÄß zÁR° ÀÄªÀ jÃw

GzÁºÀgÀuÉ 12:

2009-10gÀ ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ 3 JPÀgÉ 20 UÀÄAmÉ d«ÄÃ£À£À°è EgÀÄªÀ CrPÉAiÀÄ vÉÆÃlzÀ°è ªÉÄPÉÌeÉÆÃ¼À (C.E)ªÀ£ÀÄß ©vÀÛ£É ªÀiÁrgÀÄvÁÛgÉ. PÉÆ¼ÀªÉ ¨Á«, «zÀÄåvï ¥ÀA¥ï¸Émï ªÀÄÆ®PÀ ¤ÃgÁªÀjAiÀiÁVgÀÄvÀÛzÉ. EzÀ£ÀÄß F PÉ¼ÀV£ÀAvÉ ¥ÀºÀtÂAiÀÄ°è £ÀªÀÄÆ¢¸À ÉÃPÀÄ.

ªÀµÀð ªÀÄvÀÄÛ PÁ® 12(1)


C«Ä±Àæ «Ä±Àæ MlÄÖ ¤ÃgÁªÀjAiÀÄ

ªÀÄÆ®


«Ä±ÀætzÀ ºÉ ÀgÀÄ

«¹ÛÃtð J UÀÄ


Col. 13(9) Col.

13(10)

Col.

13(11)

Col.

13(12)

Col.

13(13) Col. 13(15)

Col.

13(16)

CrPÉ 3.20 - 3.20 J¥sï-3+E ªÉÄ.eÉÆÃ¼À

(D.E) 3.20

GzÁºÀgÀuÉ 13:

2009-10£ÉÃ ¸Á°£À ªÀÄÄAUÁj£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ 4 JPÀgÉ 08 UÀÄAmÉ d«ÄÃ¤£À°è 1640 CrPÉ (C.E) ªÀÄvÀÄÛ 150 vÉAUÀÄ (¸ÀÜ) EgÀÄvÀÛzÉ. ¸ÀzÀj ¨É¼É PÉëÃvÀæªÀ£ÀÄß C«Ä±Àæ (Pure Cropped

Area) É¼É PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ¹, PÉ¼ÀV£ÀAvÉ PÉëÃvÀæªÀ£ÀÄß PÀAqÀÄ »rAiÀÄ ÉÃPÀÄ. PÉgÉ ªÀÄÆ®PÀ ¤ÃgÁªÀjAiÀiÁVgÀÄvÀÛzÉ. ¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄAvÉ ¸ÁªÀiÁ£ÀåªÁV JPÀgÉAiÉÆAzÀgÀ°è 800 CrPÉ, JPÀgÉAiÉÆAzÀgÀ°è 70 vÉAV£À ªÀÄgÀUÀ¼À£ÀÄß É¼ÉAiÀÄ¯ÁUÀÄwÛzÉ.

CrPÉ PÉëÃvÀæ=1640/800 =2.05 J.¸É.=2.02 J.UÀÄ.

vÉAUÀÄ PÉëÃvÀæ = 150 /70=2.14J.¸É.=2.06 J.UÀÄ.

¥ÀºÀtÂAiÀÄ°è F PÉ¼ÀV£ÀAvÉ zÁR°¸À ÉÃPÀÄ

ªÀµÀð

ªÀÄvÀÄÛ PÁ®






«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


CrPÉ 2.02 - 2.02 ¹-3 - - -

vÉAUÀÄ 2.06 - 2.06 ¹-3 - - -

GzÁºÀgÀuÉ 14:

2009-10£ÉÃ ¸Á°£À ªÀÄÄAUÁj£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ 12 JPÀgÉ 14 UÀÄAmÉ d«ÄÃ¤£À°è 196 vÉAV£À ªÀÄgÀUÀ¼ÀÄ, vÉAV£À ªÀÄgÀUÀ¼À ªÀÄzsÀå 9020 CrPÉ ªÀÄgÀUÀ¼ÀÄ EªÉ. F CrPÉ ªÀÄgÀUÀ½UÉ

128

6.07 JPÀgÉ PÉëÃvÀæzÀ°è PÀjªÉÄt¸ÀÄ §½îUÀ¼À£Àß £ÉqÀ ÁVzÉ. G½zÀ 6.07 JPÀgÉ PÉëÃvÀæzÀ°è J¯É §½îUÀ½ªÉ. E£ÀÄß É¼ÉUÀ¼À ªÀÄzsÀåzÀ°è ¸ÀªÀiÁ£À CAvÀgÀzÀ ÉÃ¸ÁAiÀÄ PÀæªÀÄzÀAvÉ 7560 J®QÌ VqÀUÀ¼À£ÀÄß £ÉqÀ ÁVzÉ. (K®QÌ ±ÀÄzÀÞªÁV ¨É¼ÉzÀgÉ ¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄAvÉ JPÀgÉAiÉÆAzÀgÀ°è 1224 VqÀUÀ¼À£ÀÄß £ÉqÀ§ºÀÄzÁVzÉ) ¸ÀtÚ ¤ÃgÁªÀj PÉgÉ¬ÄAzÀ ¤ÃgÁªÀjAiÀiÁVgÀÄvÀÛzÉ.

PÁ¼ÀÄ ªÉÄt¸ÀÄ, J¯É §½î ªÀÄvÀÄÛ J®QÌ VqÀUÀ¼ÀÄ (UÀÄA¥ÀÄUÀ¼ÀÄ) CAvÀgï É¼É /¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁVªÉ. F É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj É¼ÉAiÀiÁzÀ PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ.

JgÀqÀ£ÉÃAiÀÄzÁV §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß VqÀ/ªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄ DzsÁgÀzÀ ªÉÄÃ¯É É¼É EgÀÄªÀ ¤ªÀé¼À PÉëÃvÀæPÉÌ CzÉÃ C£ÀÄ¥ÁvÀzÀ°è EgÀÄªÀAvÉ zÁR°¸À ÉÃPÀÄ.

vÉAUÀÄ = 196 VqÀUÀ½ªÉ

CrPÉ = 9020 VqÀUÀ½ªÉ

¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄAvÉ ¸ÁªÀiÁ£ÀåªÁV JPÀgÉAiÉÆAzÀgÀ°è 800 CrPÉ ºÁUÀÆ JPÀgÉAiÉÆAzÀgÀ°è 70 vÉAV£À ªÀÄgÀUÀ¼À£ÀÄß É¼ÉAiÀÄ¯ÁUÀÄwÛzÉ.

E°è VqÀUÀ¼À DzsÁgÀzÀ ªÉÄÃ¯É ¯ÉPÀÌ ºÁQzÁUÀ,

vÉAUÀÄ É¼ÉAiÀÄ PÉëÃvÀæ = 196 / 70 = 2.80 J.¸É.

CrPÉ É¼ÉAiÀÄ PÉëÃvÀæ = 9020 / 800 = 11.28 J.¸É.

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀæ = 14.08 J. É. = 14.03 J.UÀÄ.

DzÀgÉ, MlÄÖ EgÀÄªÀ PÉëÃvÀæ 12.14 J.UÀÄAmÉ ªÀiÁvÀæ

DzÀÝjAzÀ PÉëÃvÀææªÀ£ÀÄß C£ÀÄ¥ÁvÀzÀAvÉ ¯ÉPÀÌ ºÁPÀ ÉÃPÀÄ

vÉAUÀÄ É¼ÉAiÀÄ PÉëÃvÀæ = (2.80X12.35)/14.08 =2.45 J.¸É. = 2.18 J.UÀÄ.

CrPÉ É¼ÉAiÀÄ PÉëÃvÀæ = (11.28 X12.35)/14.08=9.45 J.¸É.=9.36 J.UÀÄ.

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀææ = 12.14 J.UÀÄ.

PÀjªÉÄt¸ÀÄ+J¯É§½î+K®QÌ=6.07+6.07+6.07=18.21 J.UÀÄ.=18.53 J.¸É.


DzÀÝjAzÀ PÉëÃvÀæªÀ£ÀÄß C£ÀÄ¥ÁvÀzÀAvÉ F PÉ¼ÀV£ÀAvÉ ¯ÉPÀÌ ºÁPÀ ÉÃPÀÄ

PÀjªÉÄt¸ÀÄ É¼ÉAiÀÄ PÉëÃvÀæ-(6.18X12.35)/18.53 = 4.12 J.¸É.=4.05 J.UÀÄ.

J¯É §½î PÉëÃvÀæ =4.05 J.UÀÄ. ªÀÄvÀÄÛ K®QÌ PÉëÃvÀæ =4.04 J.UÀÄ.

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀæ (PÀjªÉÄt¸ÀÄ+J¯É§½î+K®QÌ)=12.14 J.UÀÄ.

129

F É¼É «ªÀgÀUÀ¼À£ÀÄß PÉ¼ÀV£ÀAvÉ ¥ÀºÀtÂAiÀÄ°è zÁR°¸À ÉÃPÀÄ:







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


vÉAUÀÄ 2.18 - 2.18 ¹ -3 - PÀjªÉÄt¸ÀÄ 4.05

CrPÉ 9.36 - 9.36 ¹ -3 - J¯É §½î 4.05

K®QÌ 4.04

GzÁºÀgÀuÉ 15:

2009-10£ÉÃ ¸Á°£À ªÀÄÄAUÁgÀÄ IÄvÀÄ«£À°è É¼É vÀ¤SÉUÉ ºÉÆÃzÁUÀ 10 JPÀgÉ PÉëÃvÀæzÀ°è «gÀ¼ÀªÁV ªÀiÁªÀÅ ¨É¼É¢zÀÄÝ, PÉÃªÀ® 110 ªÀiÁ«£À ªÀÄgÀUÀ½ªÉ. ¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄ ¥ÀæPÁgÀ JPÀgÉUÉ PÀ¤µÀ× 25 UÀjµÀ× 50 ªÀiÁ«£À VqÀUÀ¼À£ÀÄß £ÉqÀÄvÁÛgÉ.

ªÀiÁ«£À PÀ¤µÀ× ªÀÄgÀUÀ¼À ¥ÀæªÀiÁtzÀAvÉ ¯ÉPÀÌºÁPÀ ÁV 110/25=4.40 J.¸É.=4.16 J.UÀÄAmÉ zÁR°¹, G½zÀAvÉ 5.24 J.UÀÄ. ZÁ°Û ¥ÀqÀ (ZÁ°Û ©Ã¼ÀÄ sÀÆ«Ä) JAzÀÄ ÉÃ¹UÉ IÄvÀÄ«£À°è ¥ÀºÀtÂ §gÉAiÀÄÄªÁUÀ ¥ÀjUÀtÂ À ÉÃPÀÄ.

¥ÀºÀtÂAiÀÄ°è F PÉ¼ÀV£ÀAvÉ zÁR° À ÉÃPÀÄ







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


ªÀiÁªÀÅ 4.16 - 4.16 - - - -

GzÁºÀgÀuÉ 16:

2 JPÀgÉ 30 UÀÄAmÉ d«ÄÃ¤£À°è 2000 CrPÉ, 250 vÉAUÀÄ, 3300 ¨Á¼É PÀAzÀÄUÀ¼ÀÄ, 3200 ªÉ¤¯Áè EzÉ. (¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄAvÉ JPÀgÉUÉ 800 ªÉ¤¯Áè vÀÄAqÀÄUÀ¼À£ÀÄß £ÉqÀ§ºÀÄzÁVzÉ)

¨Á¼É ªÀÄvÀÄÛ ªÉ¤¯Áè É¼ÉUÀ¼ÀÄ CAvÀgÀ ¨É¼É/¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁVªÉ. F É¼ÉUÀ¼À£ÀÄß MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj É¼ÉAiÀiÁzÀ PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ À ÉÃPÀÄ.

¸ÁA¥ÀæzÁ¬ÄPÀªÁV vÉÆÃl ªÀÄvÀÄÛ ¥ÁèAmÉ±À£ïUÀ¼À ªÀÄzsÀåzÀ°è «Ä±ÀæªÁV É¼ÉAiÀÄÄªÀ É¼ÉAiÀÄ£ÀÄß CAvÀgÀ ¨É¼É/¥ÀAiÀiÁðAiÀÄ É¼ÉAiÉÄAzÀÄ ¥ÀjUÀtÂ À ÁUÀÄvÀÛzÉ ºÁUÀÆ F PÉëÃvÀæzÀ°è É¼ÉzÀ É¼ÉAiÀÄ£ÀÄß ªÀiÁvÀæ MAzÀQÌAvÀ ºÉZÀÄÑ ¨Áj É¼ÉAiÀÄÄªÀ PÉëÃvÀæªÉAzÀÄ ¥ÀjUÀtÂ¸À ÉÃPÀÄ.

130

JgÀqÀ£ÉAiÀÄzÁV §ºÀÄªÁ¶ðPÀ É¼ÉUÀ¼À£ÀÄß VqÀ/ªÀÄgÀUÀ¼À ¸ÀASÉåAiÀÄ DzsÁgÀzÀ ªÉÄÃ¯É É¼É EgÀÄªÀ ¤ªÀé¼À PÉëÃvÀæPÉÌ CzÉÃ C£ÀÄ¥ÁvÀzÀ°ègÀÄªÀAvÉ zÁ°¸À ÉÃPÀÄ.

CrPÉ = 2000 VqÀUÀ½ªÉ

vÉAUÀÄ = 250 VqÀUÀ½ªÉ

E°è VqÀUÀ¼À DzsÁgÀzÀ ªÉÄÃ¯É ¯ÉPÀÌ ºÁQzÁUÀ,

(¸ÀÜ½ÃAiÀÄ ¥ÀzÀÞwAiÀÄAvÉ ¸ÁªÀiÁ£ÀåªÁV JPÀgÉAiÉÆAzÀgÀ°è 800 CrPÉ, JPÀgÉAiÉÆAzÀgÀ°è 70 vÉAV£À ªÀÄgÀUÀ¼À£ÀÄß É¼ÉAiÀÄ¯ÁUÀÄwÛzÉ).

CrPÉ É¼ÉAiÀÄ PÉëÃvÀæ = 2000/800 = 2.50 J.¸É. = 2.20 J.UÀÄ.

vÉAUÀÄ É¼ÉAiÀÄ PÉëÃvÀæ = 250 / 70 = 3.57 J.¸É. = 3.23 J.UÀÄ.

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀæ = 6.07 J.¸É. = 6.03 J.UÀÄ.

DzÀgÉ, MlÄÖ EgÀÄªÀ PÉëÃvÀæ 2.30 J. UÀÄAmÉ ªÀiÁvÀæ

DzÀÝjAzÀ PÉëÃvÀæªÀ£ÀÄß C£ÀÄ¥ÁvÀzÀAvÉ J¼ÀV£ÀAvÉ ¯ÉPÀÌ ºÁPÀ ÉÃPÀÄ

CrPÉ É¼ÉAiÀÄ PÉëÃvÀæ =(2.50 X2.75)/6.07=1.13 J.¸É.=1.05 J.UÀÄ.

vÉAUÀÄ É¼ÉAiÀÄ PÉëÃvÀæ=(3.57X2.75)/6.07=1.61 J.¸É.=1.25 J.UÀÄ

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀæ = 2.30 J.UÀÄ

¥ÀAiÀiÁðAiÀÄ É¼ÉUÀ¼ÁzÀ

¨Á¼É+ªÉ¤¯Áè=3.12+4.00=7.12 J.UÀÄ.=7.30 J.¸É. DUÀÄvÀÛzÉ


DzÀÝjAzÀ ¥ÀAiÀiÁðAiÀÄ É¼É PÉëÃvÀæªÀ£ÀÄß PÉ¼ÀV£ÀAvÉ C£ÀÄ¥ÁvÀzÀAvÉ ¯ÉPÀÌºÁPÀ ÉÃPÀÄ

¨Á¼É É¼ÉAiÀÄ PÉëÃvÀæ =(3.30 X2.75)/7.30=1.24 J. É.=1.10 J.UÀÄ

ªÉ¤¯Áè É¼ÉAiÀÄ PÉëÃvÀæ=(4.00 X2.75)/7.30=1.50J.¸É.=1.20 J.UÀÄ.

MlÄÖ É¼ÉAiÀÄ PÉëÃvÀæ = 2.30 J.UÀÄ.

F «ªÀgÀUÀ¼À£ÀÄß ¥ÀºÀtÂAiÀÄ°è PÉ¼ÀV£ÀAvÉ zÁR®Ä ªÀiÁqÀ ÉÃPÀÄ







«¹ÛÃtð

J UÀÄA

12 (1) 13 (9) 13 (10) 13 (11) 13 (12) 13 (13) 13 (14) 13 (15) 13 (16)


CrPÉ 1.05 - 1.05 (r-3)+E - ªÉ¤¯Áè 1.20

vÉAUÀÄ 1.25 1.25 (r-3)+E - ¨Á¼É 1.10

131

132

133

7. TIMELY REPORTING SCHEME (TRS)

1. Introduction:

1.1 It is very important to arrive at an estimates of area under the principal crops

soon after the sowing in each agriculture season viz., Kharif, Rabi and Summer in order to

arrive at quick estimates, to provide the sampling frame for selection of crop-growing fields

for crop cutting experiments and also use it as a factor in estimating production. Thus, the

area estimates should be precise and quick. The area estimates will help the Government in

assessing agricultural prospects during the season/year and to take quick policy measures

relating to agricultural output, minimum support price, imports and exports of the agricultural

commodities etc. Hence, the Government of India has sponsored a programme called

“Timely Reporting Scheme” and is under implementation in Karnataka since 1969-70 as a

Central Sector scheme with 100% funding.

1.2 In this scheme, the estimates of area are worked out on the basis of actual

enumeration in the selected 20% of the villages in a year out of total villages. Under the

scheme, the crop enumeration and writing up of Pahani (RTC-Record of Rights, Tenancy

and Crop) needs to be completed on a priority basis in randomly selected 20 per cent of

villages and the village crop abstracts submitted within the stipulated time for the

preparation of advance estimates of the area under major crops. For the non-TRS villages,

crop enumeration will be carried out afterwards. Under TRS, the sample villages is

selected in such a way that 100% of the villages of the State are covered in five year period.

2. Objective:

2.1 The main objective of the scheme is to obtain reliable and statistically precise

estimates of area covered under principal crops in the State immediately after sowing in

every season, with irrigated and un-irrigated classification for traditional and high yielding

verity crops separately.

3. Crop Coverage:

3.1 In Karnataka, totally 15 major crops are covered under this scheme.

Season-wise coverage of crops is as follows:

Kharif (9 Crops) : Paddy, Jowar, Maize, Ragi, Bajra, Tur, Groundnut, Sesamum and

Sunflower.

Rabi (11 Crops) :Paddy, Jowar, Maize, Ragi, Wheat, Cotton, Gram, Sugarcane, Sunflower,

Safflower and Linseed.

Summer (5 Crops) : Paddy, Maize, Ragi, Groundnut and Sunflower.

4. Time Schedule:

4.1 The time schedule for season-wise crop enumeration period along with the

sowing period is as follows:

134

Sl.

No.

Agricultural

Season Sowing Period

Crop Enumeration

Period

1. Kharif – Early 1st April to 30th June 1stto 9th July

Kharif – Late 1st July to 31st August 1stto 9th September

2. Rabi 1st September to 30th December 1stto 9th January

3. Summer 1st January to 31st March 1stto 9th April

5. Sampling Design:

5.1 The sampling design is Linear Systematic Sampling, where in each taluk is

treated as a stratum. Under the scheme, every year 20% of the villages in each taluk are

covered making it as one set. Thus, in a five year period all the 5 sets of villages i.e., all the

villages in the taluk are covered. All the villages in each village accountant’s circle in each

taluk need to be listed for preparing sampling frame to select the sampling units.

5.2 The selection of 20% of the villages in each taluk is by Linear Systematic

Sampling technique from the sampling frame stated above, with an interval of five sample

units and with a different random start adopting non-overlapping sampling procedure.

Detailed procedure of selection of villages is given in the Annexure (at the end of the

chapter).

6. Training:

6.1 The District Statistical Officer impart training to the field staff with regard to the

procedure to be followed in the area enumeration and in recording the crop acreage in the

prescribed crop abstracts from the Pahani(RTC). Supervisory staff of the Revenue and

Agriculture Departments and Directorate of Economics & Statistics will also be trained

during kharif season, well before the commencement of the area enumeration work.

7. Organization of Field Work:

7.1 The scheme is implemented by the Directorate of Economics and Statistics.

The field work is assigned to the Village Accountants of Revenue Department. In order to

improve the quality of field work and to detect the types of mistake commit by the Village

Accountants in recording the crop area, supervision is essential. The supervision of field

work is entrusted to Tahsildars and Revenue Inspectors of the Revenue Department;

Assistant Directors, Assistant Agricultural Officers and Agriculture Officers of the

Department of Agriculture. District Statistical Officers and their staff from the Directorate of

Economics and Statistics are also involved in the supervision. Out of the 20% of the villages

selected in each season, supervision is allotted to Revenue Department, Agriculture

Department and Directorate of Economics and Statistics at the rate of 5%, 5% and 10%

respectively.

135

7.2 The District Statistical Officer is in overall charge of the implementation of the

scheme in the district and is responsible for monitoring the progress of work and providing

suitable guidance to the functionaries involved.

8. Time Schedule for the Submission of the Reports:

Season Crop

Abstract Supervision

Area Enumeration Variance Report &

Periodic Progress Report

DSO to HO HO to GOI DSO to HO HO to GOI

Kharif

10th Sept to

22nd Sept

10th Sept to

22nd Sept 31st Oct 25th Nov 25th Dec 10th Jan

Rabi

10th Jan to

22nd Jan

10th Jan to

22nd Jan 18th Feb 25th March 2nd March 10th April

Summer

10th April to

22nd April

10th April to

22nd April 18th May 25th June 2nd June 10thJuly

9. Selection of Survey Number / Sub-survey Number f or Supervision:

9.1 In the TRS villages, for supervision, four clusters of 5 survey numbers /

sub-survey numbers will be formed with equal probability, by adopting circular systematic

sampling. The details of selection of basic survey number / sub-survey number and of the

sampling cluster are given in Annexure (at the end of the chapter).

10. Procedure for Estimating Area of Crops :

10.1 Based on the area of the crop in selected 20% of villages, area estimates will be

calculated using ratio and unbiased methods for 100% of villages in taluk, district and state

level. The formulae adopted for estimating the area and working out the sampling error are

as follows:

Notations Used:

1. Let k be the total number of taluks in the district.

2. Yij be the area under a crop in the jth village of the ith taluk in the current year.

3. Xij be the area under that crop in the jth village of the ithtaluk during the previous

year .

4. ni be the number of villages selected in the ith taluk.

5. Ni be the total number of villages in the ith taluk.

6. Rc be the combined ratio estimates of the given crop in the district.

7. X is the area under that crop during previous year ASCR report.

8. YRc be the estimates of the area of the crop in the district.

136

(a) Area Estimation by Ratio Method:

k ∑ Ni Yi i=1 YRc = --------------- x X

k ∑ Ni Xi i=1

1 ni 1 ni where Yi = ------- ∑ Yij and Xi= ------- ∑ Xij ni j=1 ni j=1

(b) Area Estimation by Unbiased Method:

k YRc = ∑ Ni Yi i=1

Variance:

(a) Variance of the Ratio Estimates of the crop is,

K Ni(Ni-ni) V( YRc ) = ∑ -------------- Siy

2 + Rc2 Six2 2Rc Sixy

i=1 ni

NiYi 1 ni 1 ni Where, Rc = ------------ ; Six

2 = -------∑ (Xij - Xi)2 and Siy

2 = ------- ∑ (Yij - Yi)2

NiXi ni-1 j=1 ni-1 j=1

1 ni Sixy= ------- ∑ Yij Xij – ni (Yi Xi)

ni-1 j=1

(b) Variance of the Unbiased Estimates of the crop is,

k Ni (Ni-ni) ni V = ∑ -------------- ∑ ( Yij

2 – niYi2 )

i=1 ni (ni-1) j=1

Standard Error (SE): √ V % of SE = --------- x 100

A

Where V = Variance and A = Area Estimated

Points to Remember:

(1) Previous year total area of selected villages should be less than the corresponding area

under all the selected villages in a taluk.

(2) The ratio obtained should not exceed 2.

(3) Variance should not be negative.

137

ANNEXURE (TRS)

Procedure of Selection of Villages:

Under the scheme, 20% of the villages are selected every year out of the total

villages in the State thereby all the villages in the State are covered in a period of 5 years.

Selection procedure is as follows:

In each taluk, arrange the villages Revenue Inspector Circle-wise and within that

arrange, Village Accountant Circle-wise. Select a random number either from 2/3/4 digits

random number table, as the case may be, depending upon the total number of villages in

the taluk. This random number selected will be the serial number of the village, which is the

first village selected is to be marked as ‘A’ .From thereafter assign B, C, D, E; again A, B, C,

D, E; again A,......etc., till all the villages in the taluk are assigned with alphabet (A to E).

Once all the villages are allotted with alphabets from A to E, pick all the villages marked with

‘A’. This list will be the list of villages selected for the first year. Similarly the villages marked

with ‘B’ will be separated and listed out. ‘B’ marked list of villages selected is for the second

year. Similarly ‘C’ marked list of villages is for third year; ‘D’ marked list of villages are

selected for the fourth year and ‘E’ marked list of villages is selected for the fifth and the last

year. Thus from the taluk list, 5 separate lists of villages will be generated, one for each year

(see illustration given below).

Before preparing the list of villages, following points are to be remembered:

1. List of villages should be exhaustive and no village is left out.

2. Only villages having Pahani (RTC) should be listed for selection.

3. Village location code should invariably be noted. This is available in the Village

Directory of the latest Population Census.

Procedure for selection of Survey Number / Sub-surv ey Number for Supervision:

In every season, 20% of the total villages selected under the scheme are allotted for

supervision by the staff of the Directorate of Economics & Statistics, Revenue Department

and Agriculture Department at the rate of 10%, 5% and 5% respectively. For supervision by

different agencies, four clusters of 5 survey numbers / sub-survey numb ers will be

formed with equal probability, by adopting circular systematic sampling .The details of

selection of basic survey number / sub-survey number and of the sampling cluster are

explained here under.

The highest survey number / sub-survey number (H) of the selected village rounded

off first to H1, the next higher multiple of 5,provided H is not itself a multiple of 5 (if H is

already multiple of 5 then H = H1). The interval will be equal to integral part of H1 / 4. Refer

138

the required digit random number in the range 1 to H1 from the left hand digit of the four digit

random number assigned against the selected village. In order to have one, two or three

digit random number the right hand digit of the random numbers may be ignored to the

extent required. The random start forms the first basic survey number / sub–survey number.

Add the Interval( I ) to R till you get numbers R+I , R+2I , R+3I exceeds H1, say R+3I, then

the number to be taken corresponding to the R+3I will be R+3I - H1. After selecting the basic

(key) survey number / sub-survey number (serial numbers), the clusters are to be formed.

Clusters are to be formed in the range of 1 - 5, 6 - 10, 11 - 15, 16 - 20.

The above procedure is illustrated below:

Example - 1 :

Let the highest survey number / sub-survey number of hissas (Total number of RTC

forms recorded) in the village be 151(H), which is rounded off to 155(H1)

Interval ( I ) = H1/4 = 155 / 4 = 38.75 or 38 (fraction is to be ignored)

Given random number is say 4345. We require 3 digit random number only because

H1 is three digit one, when we refer 3 digit random number we get 434 (referred from left).

This 434 is greater than 155 (H1). Therefore, 434 is to be divided by 155. After division the

remainder left is 124. The reminder i.e. 124 constitute the first basic survey number /

sub-survey number. This reminder number will be random start (R).

Ist basic survey number / sub-survey number - R = 124

IInd basic survey number / sub-survey number - R+I =24+38 = 162-155 =7

(Here R+I is 162, which is more than the highest survey number (H1is 155). Hence

subtract 155 from 162 to get the IInd basic survey number / sub-survey number)

IIIrd basic survey number / sub-survey number R+2I =124+76=200-155=45 IVth basic

survey no. / sub-survey number R+3I = 124+114 =238–155 =83

Therefore Ist cluster consists of 121, 122, 123, 124, 125

Therefore IInd cluster consists of 6, 7, 8, 9, 10

Therefore IIIrd cluster consists of 41, 42, 43, 44, 45

Therefore IVth cluster consists of 81, 82, 83, 84, 85

Supervision is to be conducted in the above survey number/sub-survey numbers.

139

Example - 2 :

Let highest survey number of hissas (Total number of RTC forms recorded) in a

sample village be 232 i.e., (H) = 232 and (H1) = 235.

Let the random number specified is 1084.

Therefore random start taken in the range to (H1) i.e., 1 to 235 is 108

Interval (I) = H1 / 4 = 235 / 4 = 58.75 or 58 ( fraction is to be ignored )

Ist basic survey number / sub-survey number R = 108

IInd basic survey number / sub-survey number R+I = 108 + 58 = 166

IIIrd basic survey number / sub-survey number R+2I = 108 +116 = 224

IVth basic survey number / sub-survey number R+3I = 108+174 = 282

Then basic numbers to form 4 clusters are 108, 166, 224 and 282.

As (H1) = 235, 4th basic number = 282 –235 =047.

Thus the four clusters of survey or sub-survey numbers are from serial number 106

to 110, 166 to 170, 221 to 225, and 46 to 50.

Supervision is to be carried in the above survey or sub-survey numbers.

140

"ONLY ILLUSTRATION"

(Note: For illustration only 30 villages and two ho blis are considered)

Selection of Villages under TRS List of Villages in ChickmagalurTaluk

Sl.

No.

Revenue

Inspector Circle

Sl.

No.

Village Accountant

Circle

Sl.

No. Name of Village

Alphabet

Allotted

Village Location

Code

1 2 3 4 5 6 7 8

1. Kasaba 1. Allampura 1. H Halli E 013900

2. Mandavara A 013950

3. Hosahalli B 013942

4. Madapura C 014020

5. K. Karthi D 014019

6. Kallahatti E 014051

2. Mugthihalli 7. Dungere A 013997

8. Sirigada B 014001

9. B. Kaval C 014021

10. Bagewadi D 014015

11. Kotha E 014109

12. Madhalli A 014011

13. K. Halli B 014050

14. H. Vagilu C 014114

15. Samundra D 014014

2. Lakkavalli 3. Vasthare 16. Bashettihalli E 014000

17. Hosakerehalli A 014111

18. Vasanthalli B 014102

19. Kotepura C 013950

20. Talehalli D 013999

21. Thadaganse E 014015

22. V. Halli A 014455

23. Mahazid B 014350

4. 24. Nagarahalli C 014225

25. Aradahalli D 014141

26. Aladahalli E 014133

27. Hanasalli A 014142

28. Yerramhalli B 014112

29. Kauthalu C 014199

Amble 30. Bindige D 014175

141

Since there are 30 villages in the above illustrated taluk, 2 digit random number table

is referred, in which 6th column is selected. In this column, random number selected is 22

which is V. Halli -014455. This will be the first village . Hence mark "A" for this village and

then start marking "B" ,

"C", "D", "E"; "A" ………. etc., till all the villages are allotted with alphabets.

List of Villages Selected for Five Years Period

I. List of Villages Selected for 1 st Year of 5 Years Period (Marked with "A")

Sl.

No.

Revenue

Inspector Circle

Sl.

No.

Village Accountant

Circle

Sl.

No. Name of Village

Village Location

Code

1 2 3 4 5 6 7

1. Kasaba 1. Allampura 1. Mandavara 013950

2. Mugthihalli 2. Dungere 013997

3. Madahalli 014011

2. Lakkavalli 1. Vasthere 4. Hosakerehalli 014111

5. V.Halli 014455

2. Amble 6. Hanasalli 014142

II. List of Villages Selected for 2 nd Year of 5 Years Period (Marked with "B")

Sl.

No.

Revenue

Inspector Circle

Sl.

No.

Village Accountant

Circle

Sl.

No. Name of Village

Village Location

Code

1 2 3 4 5 6 7

1. Kasaba 1. Allampura 1 Hosahalli 013942

2. Mugthihalli 2. Sirigada 014001

3. K.Halli 014050

2. Lakkavalli 1. Vasthere 4. Vasanthalli 014102

5. Mahazid 014350

2. Amble 6. Yerramhalli 014112

142

III. List of Villages Selected for 3 rd Year of 5 Years Period (Marked with "C")

Sl.

No.

Revenue Inspector

Circle

Sl.

No.

Village

Accountant Circle

Sl.

No. Name of Village

Village Location

Code

1 2 3 4 5 6 7

1. Kasaba 1. Allampura 1 Madapura 014020

2. Mugthihalli 2. B. Kaval 014021

3. H.Vagilu 014114

2. Lakkavalli 1. Vasthere 4. Kotepura 013950

2. Amble 5. Nagarahalli 014225

6. Kanthalu 014199

V. List of Villages Selected for 4 th Year of 5 Years Period (Marked with "D")

Sl.

No.

Revenue Inspector

Circle

Sl.

No.

Village

Accountant Circle

Sl.

No. Name of Village

Village Location

Code

1 2 3 4 5 6 7

1. Kasaba 1. Allampura 1. K.Karthi 014019

2. Mugthihalli 2. Bagewadi 014015

3. Samundra 014014

2. Lakkavalli 1. Vasthere 4. Talehalli 013999

2. Amble 5. Aradahalli 014141

6. Bindige 014175

V. List of Villages Selected for 5 th Year of 5 Years Period (Marked with "E")

Sl.

No.

Revenue Inspector

Circle

Sl.

No.

Village

Accountant Circle

Sl.

No. Name of Village

Village Location

Code

1 2 3 4 5 6 7

1. Kasaba 1. Allampura 1. H.Halli 013900

2. Kallahatti 014051

2. Mugthihalli 3. Kotha 014109

2. Lakkavalli 1. Vasthere 4. Bashettihalli 014000

5. Thadaganse 014015

2. Amble 6. Aladahalli 014133

143

ABSTRACT

1. No. of Villages Selected for the 1st Year = 6

2. No. of Villages Selected for the 2nd Year = 6

3. No. of Villages Selected for the 3rd Year = 6

4. No. of Villages Selected for the 4th Year = 6

5. No. of Villages Selected for the 5th Year = 6

Thus the total number of villages selected =30

144

8. Scheme for Improvement of Crop Statistics (ICS)

Introduction:

Reliable information on agricultural production statistics is very crucial for State and

National planning and for improving the standard of living of rural masses. A large number of

individuals and agencies are involved in the collection, coordination and supervision of data

collection for crop area and in the fieldwork of the General Crop Estimation Survey (GCES)

for yield. Various steps have been taken from time to time to adopt uniform methods for

ensuring the quality of data. However, it is being constantly felt that the data is subject to a

large number of non-sampling errors and there are wide differences observed in the

estimates developed by different agencies as elaborated below.

In addition to the crop area estimates developed by the state government, the

National Sample Survey (NSS) used to develop area estimates based on sample surveys

during its regular rounds of surveys till 24th round which was conducted during July 1969-

June 1970. Thus two sets of estimates of crop area/production were generated for the whole

country and also for certain population zones and naturally there were differences between

the two sets of estimates. But sometimes quite significant differences between two series of

data on crop area statistics were observed which raised questions about the quality of data.

In order to probe into these differences a technical committee on crop statistics was set up in

1963. The committee favoured inter alia estimates based on complete enumeration. As a

consequence the NSS discontinued its land utilization surveys and also crop cutting

experiments under household surveys in 1970-71.

There after, the NSSO introduced the ICS scheme in 1973-74 with the main objective

of improving the quality of statistics through joint efforts of central and state authorities.

Currently the scheme is in operation in 20 states and two Union Territories viz., Delhi and

Pondicherry. In this scheme an independent agency (NSSO) carries out the supervision and

physical verification of girdwari in a sub-sample of four clusters of five survey /sub survey

numbers in the selected villages of the Timely Reporting Scheme(TRS) sample villages. An

assessment is made for extent of discrepancies between the entries of supervisor and

girdwari completed by village accountant for each of the selected survey/sub survey

numbers in the sample. The supervisors, for checking possible errors of aggregations, also

scrutinize the crop abstract of the village, which is prepared by patwaries. The permanently

settled states are also covered under this scheme where a sub-sample of EARAS

(Establishment of Agency for Reporting Agriculture Statistics) sample villages (survey /sub

survey number) is scrutinized following the same methodology as adopted for temporarily

settled area. Generally, a total of 10,000 sample villages are covered by the ICS out of which

8,500 are in the temporarily settled states and 1,500 in the permanently settled states.

145

For area enumeration check, in Karnataka, 300 villages each for central and state

samples are selected. For crop cutting experiments, during all the three seasons together,

1800 experiments out of the General Crop Estimation Surveys are selected. These are from

the 900 selected villages, at the rate of 2 from each.

National Sample Survey Office (NSSO) is mainly responsible for both planning and

operations of the scheme. The responsibility of field supervision is equally shared by the

Officers/Supervisory staff of DES.

Objective:

The main objective of this scheme is to locate, through the joint efforts of the central

and state authorities, deficiencies in the system of collection of crop statistics in each

state/union territory and suggest remedial measures. It brings about improvement in crop

statistics by conducting spot supervision of area enumeration, area aggregation, and crop

cutting experiments in 600 villages. Supervision is carried out by central and state equally

(300 villages by the central agency –NSSO and 300 villages by State machinery).

Sampling Design for Area Estimation:

The sampling design for sample check on area enumeration is multistage stratified

random sampling where talukas/tehsils /CD blocks/group of tehsils in a district forms a

stratum. The villages within each stratum form the first stage units and survey numbers

within each village form the second or ultimate stage sampling units. Sample villages are

selected from the set of TRS villages in a stratum for the current year with the help of simple

random sampling without replacement (SRSWOR). In all,in selected villages,4 clusters of

5 survey numbers each are selected with the help of circular systematic sampling with equal

probability. In case of selection of clusters, all survey numbers or sub-survey numbers are

given serial numbers treating each sub-survey number as a sampling unit. This constitutes

the sampling frame in all states, except U.P where survey numbers are treated as sampling

units. Survey number selection made during the first season is retained for sample check

during subsequent season(s) also. Two sets of area figures under different crops for the

selected 20 survey /sub survey numbers are obtained, one set of figures as observed by the

Superintendents of NSSO/State Supervisors i.e., ASO’s/SI’s and the other set as copied

from the corresponding entries of the RTC prepared by Village Accountant. The totals of the

area under various crops recorded for the 20 survey/sub survey numbers are also obtained.

Two separate estimates of crop area viz., A-III and A-IV based on the VA’s record and

superintendent’s/State Supervisor’s observations are respectively prepared.

Sampling Design for Yield Estimation:

Under this scheme for checking the quality of data for crop yield statistics, about

30,000 crop-cutting experiments are inspected at the time of harvest. Under the sample

146

check on crop cutting experiments, the supervisors are likely to point out the deviations, if

any, from prescribed procedures during crop cutting experiments by primary workers. The

deviations may be related to use of random numbers for selection of plots, harvesting of

produce, use of standard equipments and weighment of grains etc. Supervisors also correct

any mistakes observed while filling the schedules and only these corrected versions of

schedules are used for tabulation.

The sampling design adopted for selection of samples for inspection of crop cutting

experiments is that of Multi-stage stratified random sampling. Districts are treated as

stratum, villages as first stage units, survey numbers/sub survey numbers within the villages

as second stage units and a plot of specified size within a survey/ sub survey number as the

ultimate sampling units.

The villages are selected through Simple Random Sampling without Replacement

(SRSWOR) from the list of already selected villages for sample check for area enumeration

and in which crop cutting experiments are planned under GCES. In case the number of

villages selected in the sample is equal to the desired sample size for check on crop cutting

experiments, no selection is done. If the number of villages in the frame are less than the

desired sample size, additional number of villages are selected in the second phase from the

remaining villages selected for GCES. After selection of villages Multistage stratified random

sampling technique is adopted for selection of ultimate unit of population. Sample checks on

crop cutting experiments are planned on two experiments for a crop in each of the selected

villages. The primary workers conduct the experiments in the presence of Superintendent/

State Supervisor who supervise the experiment and also correct the error, if any. The

corrected yield rate as observed by the Superintendent/State Supervisor is filled in ICS

schedule. On the basis of this information the estimates of yield rates for the district and

state are worked out. The details of estimation procedure are given in Annexure.

Schedules:

a) Schedule 1.0 : This will be filled by the supervisor of sample check on area

enumeration in triplicate and sent to NSSO and DSO. The DSO will scrutinise and code the

schedules as per ICS manual and forward to DES.

b) Schedule 1.1(Page Totaling) : Survey number-wise data on area under different

crops and the land utilization in each page of RTC will be totaled and the abstract will be

sent in triplicate and sent to NSSO and DSO. The DSO will in turn forward it to DES.

c) Schedule 2.0: This schedule is for incorporating the details of the supervision of Crop

Cutting Experiments at pre-harvest/harvest/post-harvest stage done by NSSO and DES.

147

Time Schedule for Submission:

Season Schedule Last Date for Submission of

Schedule by the Primary

Worker

Cut of dates for the receipt of last

schedule by

Centre State

Kharif 1.0 9th October 17th October 24th October

1.1 21st December - 5th January

2.0 - 23rd May 30th May

Rabi 1.0 9th February 17th February 24th February

1.1 31st March - 15th April

2.0 - 23 rd April 30th April

Summer 1.0 9th May 17th May 24th May

1.1 15th June - 30th June

2.0 - 8th August 15th August

Procedure for selection of Survey Number / Sub-surv ey Number for Supervision:

The details of selection of basic survey number / sub-survey number and of the

sampling cluster are explained here under.

To refer the Random Table Stratum No and order of selection should be combined.

And the equivalent Col. No should be referred to find out the random start.

The highest survey number / sub-survey number (H) of the selected village rounded

off first to H1, the next higher multiple of 5 provided H is not itself a multiple of 5 (if H is

already multiple of 5 then H = H1). The interval will be equal to integral part of H1 / 4. Consult

the required digit random number in the range 1 to H1 from the left hand digit of the four digit

random number assigned against the selected village. In order to have one, two or three

digit random number the right hand digit of the random numbers may be ignored to the

extent required. The random start forms the first basic survey number / sub–survey number.

Add the Interval( I ) to R till you get numbers R+I , R+2I , R+3I exceeds H1, say R+3I, then

the number to be taken corresponding to the R+3I will be R+3I-H1. After selecting the basic

(key) survey number / sub-survey number (serial numbers), the clusters are to be formed.

Clusters are to be formed in the range of 1 - 5, 6 - 10, 11 - 15, 16 - 20.

The above procedure is illustrated below:

Example - 1 :

Let the highest survey number / sub-survey number of the village be 151(H), which is

rounded off to 155(H1)

148

Interval ( I ) = 155 / 4 = 383/4 or 38 ( fraction is to be ignored )

Given random number is say 4345. We require 3 digit random number only because

H1 is three digit one when we refer 3 digit random number we get 434 (referred from left).

This 434 is greater than 155 (H1). Therefore 434 should be rejected and the next random

No. say 124 . It is less than 155 (H1). It should be the random start. This 124 random start

constitutes our first basic survey number / sub-survey number.


IInd basic survey number / sub-survey number R+I = 124+38 = 162-155=7 IIIrd basic

survey number / sub-survey number R+2I = 124+76=200-155=45 IVth basic survey no. / sub-

survey number R+3I = 124+114 =238–155 =83

I Cluster Contains 121, 122,123,124,125

II Cluster Contains 6,7,8,9,10

III Cluster Contains 41,42,43,44,45

IV Clsuster Contains 81,82,83,84,85

Supervison has to be conducted in the above survey/sub survey numbers.

Example - 2 :

Let highest survey number of hissas (Total number of RTC forms recorded) in a

sample village be 232 i.e., (H) = 232 and (H1) = 235.

Let the random number specified is 1084.

Therefore random start taken in the range to (H1) i.e., 1 to 235 is 108

Interval = H1 / 4 = 235 / 4 = 58


IInd basic survey number / sub-survey number R+1 = 108 + 58 = 166

IIIrd basic survey number / sub-survey number R+21 = 108 +116 = 224

IVth basic survey no. / sub-survey number R+31 = 108+174 = 282

Then basic numbers to form 4 clusters are 108, 166, 224 and 282.

As (H1) = 235, 4th basic number = 282 –235 =047.

Thus the four clusters of Survey or hissas are from serial number 106 to 110, 166 to

170, 221 to 225 and 46 to 50.

Supervision has to be carried in the above survey or sub-survey numbers.

Reports Generated:

The following output tables are generated as per tabulation plan provided by NSSO:

149

1. Report A-2: District-wise Distribution of selected villages according to time lags

between the year of survey and updating village maps for season wise.

2. Report A-3: District-wise work Load per Village accountants.

3. Report A-4: Bivariate Frequency distribution of selected villages according to total

numbers of serial/survey numbers and geographical area.

4. Report A-5: District-wise distribution of selected villages according to completion of

girdwari as per prescribed time schedule.

5. Report A-6: District-wise distribution of selected villages according to submission

of the TRS statements.

6. Report A-8: District-wise distribution of serial/survey numbers according to various

recording errors -e1,e2,e3,e4.

7. Report A-8(A-1): Cropwise distribution of serial/survey numbers according to

various recording errors.

8.Report A-8(A-2): District-wise and cropwise distribution of crops according to

various recording errors.

9. Report A-9: District-wise frequency distribution of errors in reporting irrigation

particulars as observed in villages.

10. Report A-9(A-1): Crop-wise frequency distribution of errors in recording irrigation

particulars as state as a whole.

11. Report A-9(A): District-wise and Crop-wise frequency distribution of errors in

recording irrigation particulars as state as a whole.

12. Report A-10: District-wise frequency distribution of errors in recording variety

particulars as state as a whole.

13. Report A-10(A1): Crop-wise frequency distribution of errors in recording variety

particulars as state as whole report.

14. Report A-10(A2): District-wise and cropwise frequency distribution of errors in

recording variety particulars as state as a whole.

15. Report A-11: District-wise comparison of entries by supervisor and VA of crop as

per irrigated and variety.

16. Report A-11(A-1): Cropwise Comparison of entries by supervisor and VA of crop

as per irrigated and seed variety.

17. Report A-11(A-2):District-wise Comparison of entries by supervisor and VA of

crop as per irrigated and seed variety.

18. Report A-16: District-wise frequency distribution of sample villages according to

aggregation errors and their effects in crop area.

150

Problems observed in Crop area statistics:

The basic purpose of ICS has been to improve the quality of crop statistics. It has

been observed over number of years through ICS that to a great extent Girdawari is not

completed in time and also there are a large number of in accuracies in the Girdawari which

are completed by the patwaris. Some of the main problem area as reported by ICS are as

follows:

1. The crop statements submitted by patwaris are many times based on in complete

girdawaries.

2. The village crop statements are not submitted in time and there are large

percentages of non- response.

3. The entries in the girdawaries are found to be incorrect in a large number of

survey numbers.

4. Recording area under mixed crops is a major source of errors as it is not uniform

across the states.

5. Sometimes there is uncertainty regarding recording of area under crop as area

sown or area harvested. This leads to inaccurate estimation of area,if area sown

is recorded as area under crop and there is no germination.

6. Area sown more than once is also responsible for some confusion about statistics

of area under various crops.

7. Inclusion of field ridges, bunds in measurements result in inaccuracy, which may

be quite high in some of the cases.

8. Due to introduction of new technology / varieties a number of short duration crops

are grown and also, there is shift in cropping pattern towards value added crops

which are not reflected properly in girdawari.

Yield Statistics:

The method of crop cutting experiments is based on an objective and unbiased

technique and if this method is properly followed it should provide reliable estimates of yield

rates. In practice, however, the field staff do not strictly adhere to the prescribed procedure

and there by the survey estimates are subjected to a variety of non-sampling errors. The

supervisory check by ICS staff reveals a number of such lapses.

The ICS and GCES yield estimates have been seen to differ widely from each other,

much more than what could be attributed to sampling errors. The review of ICS shows that

the experiments in the GCES are conducted properly in about 80 percent of the cases while

the rest have one defect or the other. The defects mainly related to wrong selection of

sample fields, location of experimental plots, failure to properly use essential equipment

such as proper weighting scales, etc. GCES carries out around 5,00,000 experiments every

151

year; but these are not still adequate to provide usable estimates below the district level.

With the introduction of National Agricultural Insurance Scheme (NAIS) in several States a

need is felt for assessment of yields of insured crops at the lower level such as tehsil or C.D.

Block and even at the panchayat level. NAIS has, therefore, prescribed for additional crop

cutting experiments for this purpose at the rate of 16 per block or 8 per panchayat for

insured crops. Some of the states have already implemented this scheme of crop-cutting

experiments.

This imposes anenormous additional burden on the field agency and increases the

non-sampling errors considerably resulting in further deterioration of the production

statistics.Some major problems of yield statistics are as follows;

1. It has been observed that field staff appointed by the State Governments do not

strictly adhere to the prescribed procedures and there by the survey estimates are subject to

a variety of non-sampling errors.

2. The errors are introduced mainly due to wrong selection of fields and deviation of

selected experimental plots. The use of defective instruments such as weighing machine

introduces considerable amount of measurement errors.

3. The state departments of revenue and agriculture, which are responsible for

carrying out the survey, keep these programmes on low priority and there is inadequate

higher level of supervision and control of field operations. The “High Level Coordination

Committee (HLCC) on Agricultural Statistics” in the states have also not shown much impact

in improving the quality of data.

4. In order to meet the requirements of getting estimates at block/village panchayat

levels especially for crop insurance purposes some of the State increased the number of

crop cutting experiments considerably. This imposes an enormous burden on the field

agency, increases considerably the non-sampling errors, which results in further

deterioration of quality of data collected through GCES. There is possibility of under

estimation of yield rates in case of crop insurance due to local pressure from insured farmers

where interest lies in depressing the crop yield.

5. It has been observed that inadequate training is provided to the field staff for

conducting the crop cutting experiments.

6. Another important factor, which has bearing on the quality of production data is,

the late time schedule fixed for certain crops in Kharif season in some states. In this case

crop-cutting experiments are to be conducted before completion of the season due to early

harvesting. Such situations have been arising in respect of Kharif crops like maize, jowar,

bajra, groundnut, cotton, soyabean etc. in States like Gujarat, Haryana, Karnataka and M.P.

Due to early harvesting of these crops, area under crop is generally under reported.

152

Annexure (ICS)

Procedure for estimation of area and yield rate of different crops

along with standard error:

I- Estimation of Area

1. Estimates A-III and A-IV:

Two sets of area figures under different crops for the selected 20 survey numbers

from each of the selected village under the ICS scheme are obtained, one set of figures as

copied from the corresponding entries of the Khasra Register prepared by Patwari and the

other set as observed by the Superintendents of NSSO/State Supervisors. The totals of the

area under various crops recorded for the 20 survey numbers are also obtained. Thus from

schedules of I.C.S. two area figures under different crops for 20 survey/serial numbers will

be known, the first set being the area figures as recorded by the Patwari in the Khasra

Register and the second set being the area figures as observed by Superintendent/State

Supervisor. Two separate estimates viz. A-III and A-IV respectively based on the Patwari’s

record and Superintendent’s/State Supervisor’s observations are prepared.The estimated

area under the crop in the jth village in ith stratum in the district is given by

The estimated area in the ith stratum is obtained as

where,

aij= Total area under a crop in the selected survey numbers in the jth village of ith stratum.

Sij= Number of selected survey numbers in the jth village in the ith stratum.

Hij= Highest survey/serial numbers in the jth sample village in the ith stratum.

ni= Number of sample villages selected in the ith stratum and

Ni = Total number of revenue villages in the ith stratum.

The estimates of area thus obtained for each stratum in a district are added to get the

estimates of area at the district level ( d Y ) and the total of the district level estimates gives

the state level estimate of area of the crop.

In case of permanently settled states for which total geographical area of the village

is not available and selection of plots has been done by method of selection of households in

153

the village, the estimated area under the crop in the jth village in the ith stratum is given by

using the inflation factor

where,

bij= Total area under the crop in the selected households in the jth sample village of ith

stratum.

In this way we obtain two sets of area estimates, A-III and A-IV based on entries

made in the Khasra Register by patwari and observations of Superintendent/State

Supervisor respectively as stated before.

The estimates of variance at district level is calculated from

where,

K′= the number of strata in a district in which the estimates of area under the reference crop

is not zero.

The variance at state level is the sum of the variance of district level estimate. The

percentage standard error of the estimate of area at state level is obtained

Where, standard error is the square root of the state level variance which is the sum

of variances of the district level estimates.

2. Estimates A-I and A-II

Patwari prepares crop abstracts for each village on the basis of entries of area

figures under different crops in the Khasra Register. ICS schedule gives area figures under

different crops, as reported by patwari in the crop abstract. Superintendent of NSSO/State

Supervisor checks the page-wise totaling of area figures recorded under different crops

under Khasra Register by the Patwari and records the corrected totals of area under crop in

154

the ICS schedule. Thus again we obtain two sets of area figures under a crop in a selected

village. Based on these two sets of area figures under a crop in a village two estimates A-I

and A-II respectively are prepared. The estimation procedure for preparing these estimate is

similar to that given at para 1 above except that the estimate now represents the area under

a crop as reported in ICS schedule.

The estimates of the Central and State samples at State level are pooled as under:

II-Estimate of Yield Rates

Sample checks on crop cutting experiments are planned on two experiments for a

crop in each of the selected villages. The State primary workers conduct the experiments in

the presence of superintendent/State Supervisor who supervise the experiment and also

correct the error, if any. These corrected yield rate are filled in ICS schedule. On the basis of

this information the estimates of yield rates for the district and state are worked out.

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

9. CROP ESTIMATION SURVEY ON FRUITS & VEGETABLES

1. Introduction:

Fruits & vegetables are very rich sources of vitamins, minerals, proteins and

carbohydrates, due to which there is lot of demand for them. Despite this they were

neglected in the developmental planning process as compared to the planning of

development of agricultural field crops prior to 1980. However, in recent years, horticulture

sector has emerged as an important component of the national economy. The growing

economic importance of this group of crops, especially fruits and vegetables could be

attributed to an increasing demand arising both in domestic as well as in the international

market. This sector contributes 16 % of share in the Gross State Domestic Product (GSDP)

of agriculture and allied sectors. Since, they are perishable items, their production, storage,

marketing, pricing, distribution etc., needs proper planning and sufficient budgetary

allocation. Hence, statistics of horticultural crops has become one of the priority programmes

in the Five Year Plans.

For preparation of various developmental programmes and policy formulations etc.,

the availability of adequate, reliable and timely statistics on area, yield and production

estimates of horticultural crops is essential. Government of India constituted an expert group

under the Chairmanship of Dr. M S Swaminathan, the then Member (Agriculture) of the

Planning Commission in early 1981 to go into the entire gamut of the problems relating to

these perishable crops. The Committee submitted its final report in May 1981. One of the

major recommendation of this group is “There is a gap in our agricultural statistics as precise

data is not available about the area, production and yield of several fruits & vegetables in the

country. This gap must be filled up as early as possible so that a firm base for planning,

production, infrastructure and marketing system is possible”.

Thus, the Ministry of Agriculture, Government of India conceived the Central Sector

Scheme of “Crop Estimation Survey on Fruits, Vegetables & Minor Crops” in the year

1982-83 to be implemented as a fully centrally funded scheme in selected (11) States in the

country. Karnataka was one among them. In the State, initially the scheme was

implemented in the middle of 1985-86 covering two fruit crops viz., Mango & Banana and

two vegetable crops viz., Onion & Potato. Survey was carried out on a pilot basis during the

first 3 years (1985-86 to 1987-88), to gain experience and to evolve an appropriate sampling

design/technique. For Karnataka, a Technical Sub-Committee was set up by the

Government of India, which met in 1989 and reviewed the sampling design adopted for the

survey and other operational aspects. The sub-committee suggested certain improvements

in the sampling design/methodology Accordingly, Multi-stage Stratified Random Sampling

technique has been evolved and adopted for the survey from 1988-89 and onwards. During

the survey of 1989-90, two more crops viz., Grapes and Turmeric were added. In the

subsequent years, some more crops are added and some were deleted. The survey

181

continued thereafter in the State as a Central Sector Plan Scheme till the year 2013-14.

From 2014-15, this scheme is continued with the 100% funding from the State Government.

2. Objectives:

The major objectives of the survey are:

(a) To estimate, with acceptable degree of precision, area, yield and production of

major fruit and vegetable crops;

(b) To study, incidentally, cultivation and manurial practices adopted for major fruit &

vegetable crops.

3. Coverage:

3.1 Crop Coverage:

During 1985-86, only Mango, Banana, Onion and Potato crops were covered. From

1988-89, Grape and Turmeric Crops were added. At present, in the State, following seven

fruit crops and four vegetable crops are covered under the survey:

(a) Fruits – Banana, Mango, Grapes, Guava, Pomegranate, Sapota and Lemon.

(b) Vegetables – Tomato, Beans, Brinjal and Cabbage.

(c) Minor Crop – Turmeric.

3.2 Area Coverage:

In the State, all the districts are covered such that, in any district at least one among

the fruit and vegetable crops grown with largest area is covered.

4. Reference Period:

The reference period for the survey is July to June i.e., 1st July of the current year to

30th June of the next year, depending on the peak sowing and peak harvesting period of the

crop.

5. Sampling Methodology:

In view of the special features of cultivation of fruit and vegetable crops, which is

explained below, the sampling methodology considered for General Crop Estimation Survey

is not suitable for this survey.

5.1. Special Features of the Cultivation of Crops:

(a) Fruits Crops:

In view of the special features of fruit crops, estimation of extent of cultivation and

production of fruit crops is somewhat different than other annual crops. Some of the features

are:

182

(i) As against seasonal nature of field crops, fruits are perennial crops.

(ii) Fruit trees, besides being grown in regular orchards, are also extensively grown

on canal banks, field bunds, road sides, back yard of houses and even as stray

trees.

(iii) Different fruits are frequently grown in the same orchard.

(iv) Fruit trees take quite a few years before they start bearing fruit.

(v) All the trees in an orchard may not be of the same age i.e. an orchard may

contain both bearing and young trees.

(vi) Harvesting of fruits trees is done in a number of pickings extending over several

weeks.

(vii) Several fruits like citrus, guava etc., have two harvesting seasons in a year.

All these features are to be carefully considered while planning a sample survey to

estimate the extent of cultivation and yield of fruit crops. Unlike other crops, extent of

cultivation of fruit crops may be measured in terms of area under the crop or by the number

of trees both bearing as well as young. However, only bearing trees contribute towards the

production of the fruit. The number of young trees on the other hand provides an idea about

the extent of cultivation of the crop.

(b) Vegetable Crops:

Vegetables are short duration crops and are handled in narrow limits of agro-climatic

conditions. They are grown throughout the year with sowing and harvesting operations

carried out simultaneously. Following special features of cultivation of vegetables crops

merits consideration for planning sample survey for the estimation of area and production.

(i) Vegetables being short duration crops duration of their cultivation varies widely

from one crop to another.

(ii) Vegetable cultivation is more or less a continuous process with both sowing and

harvesting operations carried out simultaneously.

(iii) Harvesting of vegetables involves number of pickings.

(iv) Vegetables are highly sensitive to agro-climatic variations, which affects the

yield of the crop.

(v) Due to the perishable nature of the vegetable crops their cultivation is highly

localised (where marketing facilities exist).

All these features are to be carefully considered while planning a sample survey to

estimate the extent of cultivation and yield of vegetable crops.

183

In view of the above special features of both the fruits & vegetable crops, the concept

of ‘Major Taluks’, ‘Minor Taluks’ and ‘Un-represented Taluks’ is considered for sampling

methodology. Procedure for the classification of the taluks is explained below.

5.2 Classification of Taluks as Major, Minor & Unre presentative:

Based on area figures of latest year ASCR, a frequency table of all taluks is prepared

with suitable class intervals of area in ascending order. The number of class intervals thus

prepared is neither too small nor too large. In each class interval, the number of taluks

reporting survey crop falling within the appropriate class interval is compiled to form the

frequency table. Compute the area in each class interval using the frequency of each class

interval and the mid-point of area class. Total all the class interval area to arrive at the total

State area reported in ASCR under the survey. Compute the percentage share to total area

under survey crop for each class interval.

The area class interval against which cumulative area 60% or above is the cut off

area for identifying ‘Major Taluks’, cumulative area around 35% is the cut off area for

identifying ‘Minor Taluks’ and those taluks below this cut off area limit which contribute less

than 5% of area are classified as ‘Unrepresented Taluk’ category. Thus, taluks coming under

major category are grouped to form the ‘major stratum’, taluks coming under minor category

as ‘minor stratum’ & the rest of the taluks as ‘unrepresented stratum’

The above classifications are made in order to make the sample a better

representative of the crop population.

5.3 Sampling Frame for List of Villages:

After determining the cut off area for identifying major, minor and unrepresented

taluks for each of the survey crops selected under the survey for the year, a sample frame of

list of villages is drawn. This methodology and procedure should be completed before

determining the village sample selection is drawn for actual selection from the frame.

5.4 Sampling Procedure for Selection of Taluks:

The sampling procedure should be such as to arrive at a reliable estimates derived

with acceptable level of precision and reliability. Thus the following sampling procedure is

adopted:

For the purpose of adequate representation of minor taluks in the sample selection,

the group of taluks forming the minor stratum is further sub-divided to from

4 sub-strata. The cut off crop area limits between which the minor taluks are identified is

sub-divided further into suitable class intervals to form 4 sub-groups such that the

distribution of taluks in the sub-groups are representative. These sub groups represent the

4 sub-strata frame for the selection of sample taluks in the minor stratum.

184

In some cases the extent of area cultivated under the crop in a few taluks are so low

that they do not fall into any of the aforesaid defined major or minor taluk criteria. Ignoring

the representation of these taluks will result in the ultimate sampling frame to be truncated.

The samples drawn from these truncated frame will result in biased estimates. Hence the

concept of ‘Unrepresented Taluks’ constituting the sample frame of all taluks described

above are grouped together. The representation under such category of taluks should be

less than 5%.

5.5 Precision Table for determining Sample Size:

In designing any sample survey, the foremost consideration rests on the statistical

precision of the estimates ultimately built from the survey results.

Two main parameters viz., (i) precision level of the desired estimates (ii) availability

of manpower and cost, are considered when designing the sample survey. Based on the

above 2 parameters the sample size is determined. For determining sample size for a

given/desired level of statistical precision, the following statistical formula is adopted:

n = K2 R2 / D2

where,

n : Estimated sample size

K : Table value of confidence coefficient for the normal curve, i.e, For 95% , K = 1.96

and 99% , K = 2.58

R : coefficient of variation of the estimates σ / X , where

σ = Standard error, X = Estimated mean and D = Desired precision level in percent

5.6 Sample Size:

Having determined the district-wise sample size, the size required for the major,

minor and unrepresented strata is fixed by adopting a suitable sampling fraction.

5.7 Sampling Design:

The sampling design used is stratified three stage sampling. In respect of

(a) Fruit crops, the taluks in each district is taken as strata, villages within the taluk are the

primary sampling units, orchards in the sample villages are the secondary stage units and

clusters of trees formed in the sampled orchards are the ultimate units of sampling. (b) For

vegetable crops, taluks remain the stratum, villages within taluk are the primary sampling

units, survey/sub-survey numbers for the sample villages are the second stage units and the

experimental plot within the selected survey/sub-survey number is the ultimate sampling

unit.

185

The sample number of villages to be selected in the district may be allocated to

different strata in proportion to the area under the survey crop. The selection of sample

villages in a stratum as primary sampling unit is done by the method of Probability

Proportional to Size (PPS) with replacement considering the area under the survey crop as

the measure. Orchards/survey numbers in the selected villages and cluster of

trees/experimental plots in the selected orchards/survey numbers are randomly selected

using Simple Random Sampling With-Out Replacement (SRSWOR). The above method

applies to the major and minor strata. From unrepresented stratum, 2 taluks and 1 village

from each of these two taluks are selected by SRSWOR. For yield estimation, a sub sample

of 50% of the number of sample villages selected for area enumeration must be adopted.

Care should be taken to see that the random methodology is uniformly adopted to ensure

comparability as well as pooling of estimates over different districts to arrive at the state level

estimate with satisfactory precision level, so that the survey results are adoptable for future

planning purpose.

5.8 Sampling Procedure for Selection of Villages:

After identifying the major and minor taluks and the four sub-strata within the minor

taluks as per the sampling methodology (classification of taluks), the required number of

sample villages as per the schematic sample plan are to be selected. Accordingly, as per

the number of sample villages identified for the survey crops in relation to their period of

growing (annual/seasonal) random selection of sample villages should be done as detailed

below.

Sample villages should be selected at random with PPS with replacement. For this

purpose, a list of all villages growing the survey crop (i.e sampling frame) with

season-wise area wherever applicable (area as per the village records i.e Pahani) of the

latest year as reported in the ASCR should be prepared for each stratum/sub-stratum.

Rearrange the list of villages within each stratum/sub-stratum serially; villages being

listed according to alphabetical order and indicating area under the survey crop against each

village commencing from the first. Then cumulate the area (sum) of the villages one after

another the other starting from the first and show the cumulative area against each village in

brackets. The cumulative area figure shown against the last village must be equal to the

total area ( as per ASCR) under the survey crop for the stratum (taluk).

5.9 Methods of selection – Probability Proportional to Size (PPS) Technique:

Let ‘n’ be the total number of villages growing the survey crop in a taluk (stratum).

The list of these ‘n’ villages is prepared alphabetically with corresponding area of the survey

crop (as per the village records) and arranged serially as shown below:

186

Sl.

No.

Name of village growing survey

crop (arrange alphabetically)

Area as per village

records

Cumulated area

1 V1 a1 a1

2 V2 a2 a1+a2

3 V3 a3 a1+a2+a3

. . . .

. . . .

n Vn an a1+a2+a3+ … +an = A

n

a1+a2+a3+….. +an can be expressed as A = Σ ai

i = 1

Ensure that Vn, the cumulative area (A) shown against the last village tallies with the

area of the taluk (stratum) as per previous year Annual Season and Crop Report (ASCR).

Find out the number of digits in the cumulative area (A) and depending up on the number of

digits it has, refer 2/3/4/5 digits random number table accordingly.

Read down the first column of the random number table. The very first random

number encountered, which is less than or equal to the value of cumulative area (A) be

noted down (say ‘R’) on a separate sheet of paper. Look up the list of villages (sampling

frame) and find out between what serial numbers the above noted down random number (R)

falls. The village which has the cumulated area just equal to or less than this random

number (R) is the first selected sample village.

Continue the process on the same lines and select the required number of sample

villages from this frame. This procedure may be repeated for each of the survey crop in

each of the selected stratum/sub-stratum to obtain the required number of villages. For each

stratum, an additional list of villages equal to half the number of original required number of

villages selected is also to be selected following the same method. This additional list of

selected villages helps in substitution of any village from the original list of selected villages

in the event of any of these villages not growing the crop or non-cooperation of the

cultivators from that village etc., This will ensure full coverage of the required number of

villages for the survey, avoids non response and minimizes biased sample selection.

5.10 Selection of Orchards (for fruit crops) / Expe rimental Plots (for vegetable crops):

From the list of selected sample villages, a sub sample of villages is selected using

random number table for yield estimation. The methodology for the random selection of

sample orchards (for fruit crops) and experimental plots (for vegetable crops) are described

in the ensuing paragraphs.

187

For fruit crops in the selected sample village for yield estimate, a complete list of all

orchards/gardens growing the survey crop will have to be made for area enumeration as per

the Form -1. From this list of orchards select at random using the column of the random

number table of appropriate digit, two orchards for yield estimation. Thus, the total number

of sample orchards will be double the number of sample villages selected for yield

estimation.

For vegetable crops, in the sample village selected for the yield estimation, selection

of two serial survey number/sub-survey numbers growing the survey crop will be

selected at random according to general crop estimation survey methodology.

5.11 Selection of Cluster/Trees/Plants:

This selection applies only to fruit crops grown in orchards/gardens planted in regular

rows with adequate spacing between the trees/plants to enable them to spread their

branches and grow. For the purpose of yield estimation, a group of four bearing trees/plants

is identified to form a cluster. Hence, in the selected sample orchard all the bearing

trees/plants have to be listed and grouped into clusters of four bearing trees/plants . For

each sample orchard, two clusters of four bearing t rees will be selected at random by

adopting the usual random sampling methodology using random number table as explained

below.

Selection of the cluster of four bearing trees is to be made in regular and irregular

orchards/gardens is as follows:

(A) Selection in Regular Orchards:

(a) Selection of random row for forming a cluster i s done in the following ways:

(i) In regular orchards trees/plants are grown in rows with adequate spacing between

trees/plants. Count the number of rows in the selected sample orchard starting from the

south-west corner of the garden/field. South-west corner is identified when you stand at a

corner of the garden/field facing north, the entire garden/field should lie in front of you and to

your right.

(ii) Using the relevant column of the random number table with appropriate digits

select 2 random number rows. For example, if the total number of rows in the selected

sample orchard is 28 and 2 random numbers as per the random number table less than or

equal to 28 (the maximum number of rows in the selected orchards) are respectively 11

and 21, then the 11th and 21st rows are the randomly selected rows in the selected orchards

for cluster formation.

(b) Selection of key tree for forming cluster is do ne in the following ways:

(i) Having identified the 2 rows to be selected, for forming clusters of 4 bearing

trees/plants the following procedure should be followed. Count all the bearing trees/plants in

the selected row. Suppose, the number of trees in one of the selected rows is 21, refer 2

188

digit random number table column (first column), then read down the column till the random

number first come across is less than or equal to 21. Suppose, if the random number come

across first is 15, then 15th bearing tree (in the selected row) is the key tree selected

randomly. Mark this tree distinctly as C1T1 (first tree selected in the first cluster). For

selecting the remaining 3 trees in the same cluster, treating the key tree as the centre of the

cluster, locate the nearest 3 trees/plants in the same or adjacent rows. Mark these trees

distinctly as C1T2, C1T3 and C1T4. Only these 4 selected trees/plants need to be harvested

or fruit picked for the purpose of yield estimation. Same procedure should be followed for

the second cluster (C2).

(ii) Make sure that only bearing trees/plants of appropriate bearing age are selected

for the purpose of yield estimation as otherwise substitution of the trees/plants satisfying the

above criteria with yield data results should be done.

(iii) In the year of the survey, substitution of either the orchards or cluster/plants/trees

should not be made, as this will introduce bias and the results of the survey will not be

accurate/reliable. Therefore, the technical guidelines should be scrupulously followed.

(B) Selection of cluster/key tree in the Irregular Orchards:

(i) If in the randomly selected orchards/garden/trees/plants are not grown in rows and

hence do not follow any regular configuration/pattern, the following method for selection of

cluster/key tree should be followed:

(ii) Count all the bearing trees/plants in the orchard/garden and number them

temporarily with a chalk. Suppose, there are 122 bearing trees/plants, for the selection of

key tree, refer 3 digit random number table and select the first encountered random number

less than or equal to 122. Let the first encountered random number be 95, and then the

bearing tree/plant with numbered 95 is the selected key tree. This tree/plant is the randomly

selected key tree/plant (T1) of the first cluster (C1). Then mark it as T1. Locate the nearest

3 bearing trees/plants number them with chalk as T2, T3and T4. These 4 tress/plants

constitute the first cluster C1. Similarly, select the second cluster (C2) of 4 bearing

trees/plants at random on the same methodology.

6. Enumeration Procedure:

6.1 Area Enumeration:

If the area under the survey crop is recorded by the Village Accountant in the Pahani

(RTC) after the field inspections, then there is no need to make a fresh enumeration of fields

growing the crop.

If the entries in the Pahani of a village are found to contain some errors and if such

village-wise crop area data are aggregated at taluk/district/state levels, the errors get

multiplied and area statistics get distorted. It is in this context, a sample survey of fields

189

growing the crops is carried out to obtain accurate data on crop area. The procedure to be

adopted for area enumeration is described below.

Villages are selected at random for area enumeration according to the Probability

Proportional to Size with Replacement (PPSWR) sampling plan from the list of villages

(sampling frame) growing the survey crop.

Identify all the selected sample villages for the survey crop through field visits to

make sure that the selected survey crop is grown in the selected village. If not grown,

substitute the originally selected village by another village in the same order listed in the

additional list. This procedure applies to all the sample villages selected in Major/Minor/

Un-represented taluk (stratum).

After ensuring that all the selected sample villages in the Major/Minor/

Un-represented taluk (stratum) grow the survey crop/s, the procedure described below for

area enumeration should be adopted.

6.2 Sample Check on Area Enumeration:

In the sample village selected for area enumeration, all the survey /sub-survey

numbers growing the survey crop must be listed as per format prescribed (Form – 1) for this

purpose.

(i) If the total number of survey /sub-survey numbers growing the survey crop is less

than or equal to 20 , select all of them for field inspection and enumeration.

(ii) If the total number of survey /sub-survey numbers growing the survey crop is

more than 20, say 48, then using 2 digit Random Number Table (RNT), list out the first

20 random numbers less than or equal to 48 as per the usual procedure. The serial

numbers corresponding to these 20 random numbers will be the 20 randomly selected

survey /sub-survey numbers for field inspection of area enumeration.

Make a visit to the field of all these selected the 20 survey /sub-survey numbers and

measure the length (L) and breadth (B) and record details in the format prescribed for the

crop.

The above procedure applies to all the crops covered by the survey. Detailed

instructions to the field workers for recording the field inspection/measurement data in the

prescribed formats/schedules are explained in ‘Instruction to Field Workers’ chapter.

7. Yield Estimation:

7.1 Among the list of sample villages selected for area enumeration, a sub-sample of

specified number of villages is selected for yield estimation purpose. The number of such

sample villages is as per the schematic plan. In each of these villages selected for yield

estimation, the ultimate sample unit for yield estimation of fruit crop is a cluster of four

trees/plants and of vegetable crop is an experimental plot of 5mtrs x 5 mtrs .

190

7.2 Fruit Crop (Except Grape):

As per the sampling plan for yield estimation, two orchards per village and

2 clusters of 4 plants in each of the two are to be selected. Thus, the total number of sample

clusters selected per sample village for a fruit crop will be 4 (2 orchards x 2 clusters). With a

sample of 4 trees/plants selected at random in each cluster, the total number of experimental

units (trees/plants) will be 16 trees/plants per sample village for a survey of fruit crop.

Selection is shown in the diagram that follows.

Yield data in terms of pickings/harvest data will be recorded by actual weighment of

the produce (fruit) harvested from each of the 16 sample tree/plant every time

harvest/picking is made and recorded in the prescribed Form 2. Harvest data in respect of

all pickings/harvests of fruits from the selected trees must be recorded in the formats

prescribed. SHOULD NOT MISS ANY PICKINGS.

SELECTED VILLAGE

(2 Orchards)

Orchard-1 Orchard-2 Cluster(C1) Cluste r(C2) Cluster(C3) Clus ter(C4)

4 Trees 4 Trees 4 Trees 4 Tre es

C1T1,C1T2,C1T3,C1T4 C2T1,C2T2,C2T3,C2T4 C3T1,C3T2,C3T3,C3T4 C4T1,C4T2,C4T3,C4T4 7.3 Vegetable Crop and Grape:

7.3.1 For a vegetable crop, 2 sample experimental plots of 5 mtrs x 5 mtrs for each

sample village selected for yield estimation. The harvest data of vegetables will be recorded

in the prescribed Form -2 after actual weighment of the cleaned produce harvested.

Detailed instructions for filling of these formats are given on the over-leaf of these formats.

SELECTED VILLAGE (2 experimental plots)

Plot-1 Plot-2

(Plot of 5mtrs x 5 mtrs) (Plot of 5mtrs x 5 mtrs )

8. Instructions to Field Functionaries:

For any sample survey, the selection of the village, survey/sub-survey numbers,

orchards, cluster of trees, sample plot etc. must be done strictly according to the technical

191

guidelines prescribed. Also measurements such as measuring the area of the selected

field/plot, weighing and recording of weight of the produce harvested, pickings of all the

pickings of fruits must be done methodologically and accurately.

Field work of the survey consists of two stages. First stage covers, measurement or

collection/generation of primary data from the field level observations in respect of sampling

units i.e, sample village/sample field/sample plots or trees. This is the function of the primary

worker. Second stage covers the supervision of the work of the primary worker to ensure

accuracy and correctness of data generated, conduct of the field work strictly according to

the guidelines prescribed. The scale of supervision should not be less than 50% of the total

sample units selected.

8.1 Field work of Area Enumeration:

a) Fruits Crops:

For the field work of area enumeration of fruit crops, Horticulture Assistant of the

Department of Horticulture is the primary worker. Each primary worker will be provided with

a list of selected sample villages for the conduct of field work of area enumeration.

Necessary training is provided by the staff of the District Statistical Office to the primary

workers well in advance before the commencement of the field work. Every primary worker

has to commence and complete various field work activities as per the time schedule

prescribed. Required number of various blank formats for recording of field data is supplied

by the District Statistical Office well in advance.

The primary worker has to visit each and every selected sample villages one by one

for area enumeration. He needs to plan the visits in such a way that all the selected sample

villages are covered in a short period with minimum travelling.

In every selected sample village, the primary worker will record all the information

required in Form -1 for all the survey/sub-survey numbers growing the selected survey fruit

crop as recorded in the Pahani (RTC) maintained by the Village Accountant. If in the

selected sample village if the selected survey crop is not grown, then select a substitute

village in order from the additional villages listed in the sample allocation statement and

record the details as explained above. In such cases, ensure that the name of the additional

village selected is distinctly shown on the schedule as “substituted village in place of the

originally selected village” .

Field Check/Inspection:

(i) The survey/sub-survey number-wise information of selected survey crop extracted

in Form -1 from the Pahani (RTC) for the selected sample village may not be correct, in the

sense, the area of the selected crop shown in the Pahani may be different from what is

actually sown/grown in the field. For verifying such errors and recording the correct area

figures of the selected crop, field check/inspection should be undertaken by the primary

worker in respect of a maximum of 20 survey/sub-survey numbers. Primary worker should

192

personally visit each of the selected survey/sub-survey numbers (20 or less, depending up

on the fact that the crop is grown in more than 20 survey/sub-survey numbers or not).

The list of randomly selected survey/sub-survey numbers for undertaking field inspection by

the primary worker is given by the Statistical Inspector stationed at taluk office.

On check/inspection of the selected survey/sub-survey numbers, the primary worker must

measure the area i.e length (L) and breadth (B) of the survey/sub-survey numbers and

record details in the prescribed Form - 1.

(ii) Enumeration (counting) of stray orchards/gardens should also be done by the

primary worker and the data recorded in the Form -1 and submitted to the concerned in

required number of copies as per the time schedule.

b) Vegetable Crops:

For the field work of area enumeration of vegetable crops, Statistical Inspector of the

Directorate of Economics & Statistics is the primary worker at the taluk level. The services

of Enumerator may be utilized when absolutely necessary after giving proper training.

The Statistical Inspector will perform the same activities for selected survey

vegetable crops as explained in the above paragraphs for fruit crops. Statistical Inspector

will also guide the primary worker of fruit crops i.e Horticulture Assistant of the Department of

Horticulture in technical matters of selection of villages/yield/trees and use of random

numbers tables/columns etc.

8.2 Yield Estimation:

Fruit Crops:

For the purpose of estimating production, a sub-sample of villages is selected from

the list selected for area enumeration. However, the primary worker will be given a list of

sample villages selected for the purpose.

The primary worker will first complete the area enumeration work inclusive of the field

visits/inspections in the selected villages before yield estimation started. Prescribed formats

for area enumeration must also be filled in and submitted to the concerned as per the time

schedule and before the yield estimation work is started.

The primary worker should made random selection of 2 orchards in each sample

village and random selection of 2 clusters of 4 trees/plants in each selected orchards.

The primary worker will distinctly mark the trees/plants in Cluster-1as C1T1, C2T2,

C3T3, C4T4 and Cluster-2 as C2T1, C2T2, C2T3, C2T4 of randomly selected

8 trees/plants in each of the two randomly selected orchards/gardens, whether regular or

irregular gardens, as the case may be. The above explained methodology applies for the

tree fruits only (not for vine fruit crop-Grapes).

193

For Grapes, the ultimate sampling unit is randomly selected experimental plot of

5 meters X 5 meters, not cluster of 4 trees/plants as in case of tree fr uit crops. The

selection of plot is to be according to the General CES methodology.

If needed, the help of Statistical Inspector (Taluk Office)/Progress Assistant (Block

Office) may be taken for the location/selection of clusters/experimental plots.

8.3. Recording of Harvest Data:

a) Fruit Crops:

Tree Fruit Crops: After identifying trees/plants in each selected orchard/garden,

harvested data of these trees/plants on total number of fruits picked and their total weight (in

kgs.) are to be collected on the day/days the farmer conducts the harvest. There can be

more than one picking in the reference period i.e July to June. Harvest data on total number

of fruits picked and their total weight (in kgs.) for all the pickings that take place in respect of

all the 16 trees/plants in each village should be collected without fail and recorded in

Form -2. Thus, there will be 16 entries of the harvested data, one for each of the sample

tree/plant for each village. There should be as many entries as there are pickings for each

selected tree/plant. It is very important that the harvested data on total number of fruits

picked and their total weight (in kgs.) are to be done accurate and recorded in the formats

correctly, neatly and legibly.

Vine Fruit Crop (Grapes): Pickings done by the farmer in the randomly selected plot

of 5 mtrs X 5 mtrs on the day of harvest will be recorded in terms of the weight of the grape (

in kgs.) along with other particulars. Maximum care should be taken to ensure that the

bunches of grapes harvested fall with in the area of 5 mtrs X 5 mtrs of selected plot.

b) Vegetable Crops:

The primary worker has to collect the harvested data of the selected survey

vegetable crop by weight (in kgs.) on the day of harvest in the experimental plot of 5 mtrs X

5 mtrs and record with other particulars in the Form -2. For seasonal vegetable crop,

harvest data must be given for each season i.e kharif/rabi/summer separately, as the case

may be. In respect of annual crop (Turmeric), the annual data relates to the survey year i.e

July to June. If more than one harvest takes place, harvest data of each pickings (with other

particulars) should invariably entered in the Form-2

8.4. Field Work Supervision:

Supervision of the field work of primary worker is a crucial stage of the survey work.

It would be ideal to have 100% supervision but this would not be practical. However, a large

percentage of supervision is essential to (i) ensure quality of field data and (ii) build up

independent estimates of area and yield rates of the selected survey crops. Accordingly, not

less than 50% of the total sample villages selected for each survey crop is selected for

194

supervising the data collected by the primary workers and such supervision will be carried

out by the higher level functionaries.

Extent of supervision over primary workers among different functionaries is as shown

below:

(a) Fruit Crops – Primary Worker: Horticulture Assi stant (DOH)

Sl.

No.

Department Supervisor’s Designation Group/

Category

Level Minimum % of

Supervision

1 Horticulture District Horticulture Officer Group-A District 5 %

Assistant Director Group-B Sub-Dn. 5 %

Assistant Horticulture Officer Group-C Taluk 20 %

Assistant Statistical Officer

(DHO Off.)

Group-C District 5 %

2 DES Deputy Director (F&V) Group-A State 5 %

Assistant Director (F&V) Group-B State 5 %

District Statistical Officer(DSO) Group-A District 5 %

Statistical Inspector/Progress

Assistant

Group-C Taluk 10 %

GRAND TOTAL - - 60 % (b) Vegetable Crops – Primary Worker: Statistical I nspector/Enumerator (DES)

Sl.

No. Department Supervisor’s Designation

Group/

Category Level

Minimum % of

Supervision

1 DES Deputy Director (F&V) Group-A State 10 %

Assistant Director (F&V) Group-B State 10 %

District Statistical Officer(DSO) Group-A District 15 %

Assistant Statistical Officer (F&V) Group-C District 25 %

GRAND TOTAL - - 60 %

The supervisors will invariably attend harvest supervision. For all the sample

villages, supervision by way of field check/inspection of area enumeration i.e. area under the

crop measured and recorded by the primary worker should also be done by the supervisory

officers well in time i.e. as soon as the area enumeration and field check activity is

completed by the primary worker and before filled in schedule is submitted to the concerned.

Remarks, if any, of the supervisor should be distinctly recorded. Regarding supervision of

yield data, the supervisor will ensure that the pickings/harvest data i.e. weight of the

harvested produce are factual without any errors and will attest the relevant formats. The

195

supervisors will ask the primary worker to inform him in advance the dates of possible

harvesting of the selected plot or tree so that the supervisor can be present for supervising

the work of primary worker properly. There must be close co-operation and co-ordination

between the primary worker and the supervisory officers.

9. Field Functionaries:

The field work is carried out by the Horticulture Assistants of the Directorate of

Horticulture and the Enumerators/Statistical Inspectors/Progress Assistants of the

Directorate of Economics & Statistics. Their work is supervised by the Assistant Horticulture

Officer/Assistant Director/Deputy Director of Horticultural Directorate and the Assistant

Statistical Officer/ Assistant Director/ District Statistical Officer of the Directorate of

Economics & Statistics.

10. Supporting Organisation :

In the beginning of the implementation of the scheme, technical, administrative and

financial support was provided by the Ministry of Agriculture, Government of India. However,

from 2014-15, 100% funding is from the State Government. Directorate of Economics &

Statistics is imparting necessary training, supervision and monitoring of the scheme.

11. Training :

For the successful conduct of the survey, effective training to the staff involved is

most essential at all levels. Under the survey, training is given at three different levels i.e.,

State, District and Taluk levels. Details of trainings imparted at different levels are given

below:

(a) State Level : Technical aspects of the survey like sampling design, estimation

procedures, quality of field work, monitoring of the work of the field functionaries, timely

submission of various filled in forms etc., are imparted at the State level training.

(b) District Level : Practical aspects of the conduct of the survey, quality of field

work, filling and submission of various kinds of forms etc., are imparted at the District level

training.

(c) Taluk Level : Various steps involved in the conduct of survey, method of selection

of survey/sub-survey numbers of the fields/plots/trees, methods of recording of the various

measurements/observations, manner of filling up of various kinds of forms, checks to be

carried out to ensure consistence in the data, conduct of experiments, quality of data

collection etc., are imparted at the Taluk level training.

Details of area and yield estimation procedures, definitions & concepts are given in

Annexure. (Note: For further details, refer the “Hand Book on Crop Estimation Survey on

Fruits, Vegetables and Minor Crops in Karnataka” brought out by the Directorate of

Economics & Statistics, Bangalore)

196

ANNEXURE (F & V)

I. Estimation Procedure for Area & Yield:

Under this scheme the procedure adopted for estimating area and yield of Fruits,

Vegetables and Minor crop is given below:

(A) Area Estimation : To estimate the area of a crop at district level, estimation was done at

village, taluk and district levels.

(a) Village Level Area Estimate : In each of the sample village, the area under the

selected crop is estimated by ratio method by actual observation and per observation by

visiting the spot and as per entries made in the RTC in the selected 20 survey numbers and

also taking into consideration the total area under the crop in the village as per RTC. The

estimated area of the selected crop in the ith village is given by

20

∑ aij i =1 vi = ----------------- x Aic 20 ∑ bij i =1

Where, aij = area as recorded in RTC for jth survey number in the ith village.

bij = area as per observation in jth survey number in the ith village.

Aic = total area under the crop in the ith village as recorded in RTC during the

current year.

(b) Taluk Level Area Estimate : The unbiased estimate of area of taluk “r” for the

current year is given by

1 n1 vi Trc = ---- ∑ ---- n i=1 Pi

Where, vi = area estimate of ith village in the taluk

n = number of villages selected in the taluk

Pi = Probability value of the ith village which is given by

Aip Pi = -------- m ∑ Aip

i=1 Where,

Aip = Area under the crop during the previous year in the ith selected village

m = Total number of villages growing the crop in the taluk during the previous year .

197

(c) District Level Area Estimate: The unbiased estimated area of a district is given by

g ∑ Trc g r=1 h D = ∑ Trc + -------- x ∑ Trp r=1 g r=1 ∑ Trp r=1 Where,

Trc = estimated area of the selected taluk r during the current year .

Trp = area under the crop in taluk r during the previous year as per ASCR.

g = number of taluks selected in the district.

h = number of taluks not selected in the district.

Variance: The unbiased estimate of variance of taluk ‘r’ is given by

1 n vi

2 V(Tr) = --------- ∑ ----- nvi

2

n(n-1) i=1 pi (B) Yield Estimation:

The experimental unit for fruit crops (except Grapes) is an orchard of 2 clusters of

4 trees each, for Grapes and vegetable crops it is a plot of 5 mtrs. x 5 mtrs. size. Thus two

different procedures were adopted for estimation of yield of these two categories of crops.

(1) Estimation Procedure of Fruit Crops (except Gra pes):

To estimate the yield per hectare of fruits crop (except Grapes), the yield per tree is

first estimated and then the average number of bearing trees per hectare is estimated.

Based on the above two factors the average yield per hectare is estimated.

Estimation of Yield per Tree:

Notation used:

N = number of villages growing the selected crop in a taluk.

Mi = number of orchards in the ith selected villages.

Lij = number of bearing trees in the jth orchard of ith village.

n = number of villages selected in the taluk : (n= 2)

mi = number of selected orchards out of Mi orchards in the ith village:(mi = 2)

lij = number of selected bearing trees out of Lij in the jth orchard of ith village: ( lij = 8)

Yijk = yield of kth tree of jth orchard in the ith village.

198

Yij = mean yield per tree of jth orchard in the ith village

Yi = mean yield per tree in the ith village

Y = mean yield per tree in the taluk

(a) Yield per Tree in Orchard: The unbiased estimate of yield of a tree in jth orchard is

given by

lij ∑ Yijk k=1 Yij = ---------- where lij = 8 lij

(b) Yield per Tree in Village: The unbiased estimate of yield of a tree in ith village is given

by

mi ∑ Yij

j=1 Yi = ------------- where mi = 2 mi

(c) Yield per Tree in Taluk: The unbiased estimate of yield per tree in a taluk is given by

n ∑ Yi i=1 Y = -------------- where n = 2 n

Variance :

The variance of estimated yield at taluk level is given by 1 1 1 n 1 1 1 ni 1 mi 1 1 V (Y) = --- - --- s2 + ---- ∑ ---- - ----- s2

2 ( i ) + ---- ∑ -------- ∑ ------ - ------ s12 ( j )

n N 2N i=1 n Mi 2N i=1 miMi j=1 lij Lij

n 2 ∑ Yi 1 n i=1 Where, s2 = ------ ∑ Yi

2 - -------- ( n-1) i=1 n

ni mi lij 1 lij s1

2 ( j ) = ∑ ∑ ∑ -------- ∑ ( Yijk Yij )2

i=1 j=1 k=1 ( lij – 1) k=1

n 1 mi mi s2

2 ( i ) = ∑ ------- ∑ Yij2 ( ∑ Yij )

2 i=1 ( n-1) j=1 j=1

199

Estimation of Average Number of Bearing Trees per H ectare:

Notations Used:

Pijk = number of bearing trees in kth orchard of jth village in ith taluk

Pi = average number of bearing trees per hectare in ith taluk

aijk = area of kth orchard of jth village in ith taluk

rij = number of orchards in jth selected village of ith taluk

ni = number of villages selected in ith taluk

The average number of bearing trees per hectare in ith taluk is given by

ni rij ∑ ∑ Pijk j=1 k=1 Pi = ------------- ni rij

∑ ∑ aijk

j=1 k=1

The mean yield per hectare in ith taluk is given by Yi = Pi x Yi

Pooled Estimates for District:

The mean yield per hectare in a district is given by

k ∑ AhYh h=1 Y = ------------- k ∑ Ah h=1

where,

Yh is the mean yield per taluk in the hth stratum(taluk)

Ah is the area under the selected crop in the hth stratum(taluk)

k is the number of taluks selected in a district.

Variance:

The variance of the district mean yield is given by,

200

k ∑ Ah

2 Yh h=1 V( Y ) = ------------- where k is the number of taluks selected in a district. k

2 ∑ Ah h=1 The percentage of Standard Error to the district mean yield is given by √ V( Y ) SE = ------------- x 100 Y (2) Estimation Procedure for Plot Yield of Vegetabl e Crops viz., Turmeric, Tomato,

Beans, Brinjal and Fruit Crop Grapes:

A simple average yield is worked out for each stratum (taluk). The average yield thus

obtained for all the selected taluks are pooled by using the area figures of the corresponding

taluks as weighs to arrive at the weighted average yield for the district.

Notations used:

nij = number of plots in the jth village of ith taluk.

ni = ∑ nij = number of plots in the ith taluk.

mi = number of villages in the ith taluk.

ai = area under the crop in the ith taluk.

yijk = plot yield of kth plot in jth village of ith taluk

(a) Plot Yield in Village:

ni ∑ yijk k=1 yij = ------------- is the average yield per plot in the jth village of ith taluk nij

(b) Plot Yield in Taluk:

The estimated yield of crop per plot in the ith taluk is given by

mi nij ∑ ∑ yijk j=1 k=1 Yi = ------------------ ni (c) Plot Yield in District: The estimated yield of crop per plot in a district is given by

201

t

∑ Yi ai i =1 YD = ------------- t ∑ ai i =1

Where “t” is the number of taluks selected in the district.

The estimated yield per hectares is given by

Yh = YD x 400 Kgs/Hect Variance: The variance of estimated yield at taluk level is given by

ni 2 ∑ yij 1 j=1 V ( Yi) = ------- ∑ yij

2 --------- (ni-1) ni

The pooled variance for the district is given by t ∑ A2

i V(Yi ) i=1 V ( YD ) = ---------------------- t 2 ∑ Ai i=1 Where “t” is the number of taluks selected in the district. The percentage of Standard Error to the district yield is given by, √ V (YD ) The % SE = ----------------- x 100 YD II. Concepts & Definitions:

(a) General:

1. Sample village originally selected: It is the village selected in the taluk for field survey

work of area enumeration and/or yield estimation.

2. Substitute village: It is the village substituted in the place of originally selected sample

village when the latter does not happen to grow the crop concerned or otherwise becomes a

casualty for field survey work.

202

3. Survey numbers: They are identifying numbers available in village records demarking

individual parcel of lands or fields as per the Survey Settlement and Land Records

Department.

4. Source of irrigation: External water input source available for use to irrigate fields

(excluding rainfall). The major source of irrigation are Canals, Tanks, Wells, Nalas, Streams,

Rivers etc.

5. Pure crop: If in the enumerated, selected survey number, only one (surveyed) crop is

grown, then the crop is said to be pure.

6. Mixed double crop: If the enumerated/selected survey number, more than one crop

including survey crop is grown during the same season then it is said to be a mixed

crop/double crop.

7. Proportion of mixture: It is the extent of area covered under each constituent crop od

the mixed crops, including survey crop, expressed in percentage worked out on the basis of

normal seed rate/seedling rate and the actual seed sown/seedling planted. The sum of

percentages of all constituent crops including survey crop should be equal to 100.

8. Crop variety: List of different varieties of survey crops grown commonly in the State is

given in Annexure – 2.

9. Seed/seedling rate: The quantum (in kgs or numbers as the case may be) of

seeds/seedlings sown or planted per hectare in units of kgs/numbers.

10. Organic fertilizer: Distinct from chemical fertilizers, they include local compost manure,

green manure, farm yard manure (FYM), sheep penning’s etc.

11. Chemical fertilizers: Factory manufactured fertilizer from chemicals are available as

Nitrogenous, Phosphate and Potassium fertilizers (NPK) as also in mixed forms at different

proportions of NPK as complex fertilizers.

(b) Fruit Crops:

1. Regular orchards: An orchard is defined as a piece of land (managed singly or jointly)

with a minimum of 12 trees on it planted in a systematic manner.

2. Garden: A piece of land with plants/trees/vines grown in small clusters having less than

12 numbers but more than three numbers.

3. Stray garden: Trees/plants/vines grown in small numbers along road side, river beds,

back yards etc., having less than 3 numbers not regularly grown.

4. Tree of bearing age: Age at which a majority of trees of the selected fruit crop normally

bear fruit irrespective of the fact whether or not the tree has borne fruits during a particular

year/season. For example, bearing age is normally taken to be five years for mango, four

years for citrus, two years for grapes and one year for banana, etc.,

203

5. Bearing tree: A bearing tree is defined as a tree of bearing age which has borne fruits

any time in the past also bears fruit during the season of the survey period.

6. Young tree: A young tree is defined as a tree which has not attained the specified

bearing age of the fruit.

7. Non-bearing tree: A non-bearing tree is defined as a tree which has reached the bearing

age but is not found bearing fruit during the survey season, due to any reason such as

disease, old age, withering of flowers or any other agro-climatic factor.

8. Stray trees: Trees grown in (a) public land i.e, along road side, nalas, streams, rivers,

fort shore areas of tanks, gomalas, gundu thopu, compounds of schools/government

buildings/hospitals and if in any public lands within the village limits (b) private lands i.e,

mostly around residential buildings/houses.

204

1 Year

2 Season

3Name of the originally selected village

4If substituted sample village selected(if there)

12

Previous year area under the selected crop in village (hectares) (current season/annual )

5 Hobli

6 Taluk

7 District

8Name of the selected crop for survey

14Headquarter of the Primary Worker

9Total geographical area of selected village

15Date on which information is collected from Village Accountant

16 Date of Area Enumeration

17 Date of Supervision

A

B

C

D

E

A :- General Information

No. of plants/trees along road sides

No. of scattered plants/trees in village (For only fruits crops)

10

Government of KarnatakaDirectorate of Economics and Statistics

Crop Estimation Surveys on Fruits, Vegetables and Minor Crops Form No. 1 Area Enumeration Details

Survey/Sub survey No., Orchard/Field selection etc.

Other lands if any (specify)

11Total area under the selected crop in village (hectares) (current season/annual)

13Total of survey/sub survey numbers in the village where the selected crop is grown.

Total cultivated area of the village (in hectares)

No. of plants/trees along Nallas/Streams/RiversNo. of plants/trees on foot shore area of Tanks/Gomalas/Gundu No. of plants/trees in the premises of School/Hospital/IB/Private building

205

Bearing

Non B

earing

Young

Tota

l

1 2 3 4 5 6 7 8 9 10 11 12

TOTAL X X X X X

Only for fruits crop

No. of trees in Orchard

B List of survey No. / sub survey No./orchards/fields of the selected crop grown in the village

Sl. No.

Nam

e o

f th

e c

ulti

vato

r

Surv

ey/

sub s

urv

ey N

o.

Sele

cted c

rop a

rea (

in h

ect

are

s) a

s per

villa

ge r

eco

rds

Wheth

er

irrigate

d? Y

es/

No

If ye

s, furn

ish s

ourc

e o

f irrigatio

n

Wh

eth

er

crop is

pure

or

mix

ed

If m

ixed then s

peci

fy the n

am

e o

f th

e

crop

s and a

rea in

hect

are

s

206

Length Breadth

13 14 15 16 17 18 19 20 21

X X X X X

NOTE:- 11

2

3

4

5

While listing column No. 1 to 12 if there are more survey/sub survey No. then use additional sheets

Column No 1 to 8 :- Is applicable to all selected fruits and vegetable crop

Column No. 13 to 20 :- Only for selected 20 Numbers for area enumeration

In Column No. 4, 9 to 12, 16, 19 and 20, total values should be compulsory recorded in red ink

Column No 9 to 12 :- Applicable for fruits crop

Remarks

Details of Survey/Sub Survey/ Orchard and Fields selected for Area enumeration

Details for Area enumeration of 20 selected numbers

SL.No.

Selected

Random No

Selected survey/sub

survey No. (as per column No.

3)

Area(as per

column 4 (in

hectares )

As per Primary Worker area of Field/orchard

actually measured in steps

Area(in

Hectares) as per Primary

Worker

Area (in

hectares) as per

Supervisor

207

Sl. No. Particulars Orchard : EXP : 1 Orchard : EXP : 2

1Is village selected for yield enumeration? Yes/No

2Random Number table given by D.S.O for selection of Survey No./Orchard

3Random Number used for selection of Survey No./Orchard

4Selected No. of Survey No./Field/Orchard (as per column 15 of part ' B ' )

5Area in hectares of selected Survey No./Field/Orchard (as per column 19 of part ' B ')

6Name and address of the Cultivator of the selected Survey No./Field/Orchard (as per column 2 of part ' B ' )

Date of Sowing/Plantation ( vegetable crops)

Age of the Orchard ( fruits crop)

8 Probable date of harvest

Name of the Supervisor :

Scrutinised for accuarcy of data reported

District Statistical OfficerSignatureDate

C Details of Survey Number/Orchard in village selected for crop harvest

Designation :

7

Map of Selected Field/Orchard

Orchard : Experiment -1 Orchard : Experiment -2

Name of the Primary Worker :

Signature :Date :

Designation :Department :Signature :Date :

Department :

208

Form -2 (Revised 2004)

Government of Karnataka

Directorate of Economics and Statistics

Crop Estimation Survey on Fruits, Vegetables and Mi nor Crops

Form-2:- Yield Estimation Particulars

Results of Crop Harvest/ Pickings

A:- General Particulars

1 Year 6 Taluk

2 Season 7 District

3 Name of the Village selected

for yield estimation

8 Selected Crop

4 Name of Gram Panchayath 9 Total of Survey/Sub Survey

numbers in the village where

the selected crop is grown

5 Hobli

B:- Selected Orchard/Field Particulars

Sl.No. Particulars Experiment-1 Experiment-2

1 2 3 4

1 Cultivator’s Name

2 Survey/sub survey number of the selected

orchard/field

3 Total area of selected orchard/field (in hect)

4 Area of the experimental plot in selected survey/sub

survey number of orchard/field (as in column 4 of

part A in form 1)

5 (a) Date of sowing/transplanting (only for vegetable

crops)

(b) Age of the Orchard (only for fruit crops)

6 If the crop is irrigated, mention the source of

irrigation

7 Seed variety used (Local/Shakthiman/HYV)

8 (a) Quantity of seed used (Kgs/hectare for

vegetables)

(b) Number of trees (number of trees per hectare

for fruits)

209

Sl.No. Particulars Experiment-1 Experiment-2

9 Fertilizer application (quantity used per hectare in

Kgs/Quintals)

(a) Farm yard manuare (Quintals)

(b) Compost (Quintals)

(c) Green Manure (Quintals)

(d) Chemical Fertilizer Name

Quantity used (Kgs)

10 Name of pesticide used; quantity applied

(millilitre/liters) per hectare

11 General condition of the crop surveyed (very

good/average/poor/very poor)

12 Pure or mixed crop (if mixed, proportion of the

constituents crops should be given separately (in

hectare)

Note: Part B, applies to all selected crops

C. Plot selection and Harvest particulars for veget able crops

Sl.No Particulars Experiment-1 Experiment-2

1 Pair of random numbers used for locating

experimental plot Length Breadth

2 Selected field Length (in steps) Breadth (in

steps)

3 The number emerged after deducting 7 steps in

the total length (in steps) of the field

The number emerged after deducting 7 steps in

the total breadth (in steps) of the field

4 Final numbers for selecting the plot Length

Breadth

5 Number of Pickings

6 Weight of yield from all pickings (Kgs)

7 Explanation should be given for very good or very

poor yield

Instruction: The weight of yield mentioned in column 6 above should be equal to the total weight of

all the pickings mentioned in part E

210

D. Harvest Particulars of Grapes Crop

Sl.No Particulars Experiment-1 Experiment-2

1 Total number of Rows of grape crop in selected

survey/sub survey number in the orchard /field

2 Average number of Rows that can be

accommodated in 5 meters

3 Number of Rows remained after deducting the

number of rows that can be accommodated in 5

meters from total number of Rows in

orchard/field (1-2=3)

4 Column number of random table used to locate

main row

5 Selected Row number

6 Length of the selected Row in steps

Instruction: Information should be given in Part E if experiment is conducted by considering

vegetable crop as row crops

Sl.No Particulars Experiment-1 Experiment -2

7 The number emerged after deducting 7 steps in

total steps

8 Column number of random table used for identifying

random steps

9 Selected random step number

10 Number of grapes vines in 5m x 5m plot

E. Harvest data for Grapes and Vegetables Crops

Experiment-1 Experiment -2

Date of picking Weight (in Kgs) Date of picking Weight (in Kgs)

Grand total Grand Total

Note : (1) In case of vegetable crop data furnished in part E should be recorded in column No 6 of part C

(2) Data of grand total should be recorded in Red ink only

211

F. Identifying the trees in fruit orchards/plantati ons for crop harvest

Sl.No Particulars Orchard–1 Orchard-2

1 2 3 4

1 Number of bearing trees in the selected orchards

2 Whether fruit crop is grown in regular rows? Yes/No Yes/No

3 If yes (a) Total No of rows of the crop in the selected

orchard

(b) Column number of

random table to select rows

for 1st Row

for 2nd Row

(c) Selected row number 1st Row

2nd Row

(d) Number of bearing trees in

the selected row

1st Row

2nd Row

(e) Column number of

random table given to select

key trees

For key tree in 1st row

For key tree in 2nd rows

(f) Selected key tree number

in the selected row

Key tree of 1st row

Key tree of 2nd row

4 If crop is not grown in regular

rows, selected keys trees

1st Key tree

2nd Key tree

G. Crop Harvest Particulars For Fruit Bearing Trees

Sl.

No

Date of

crop

harvest

Tree-1 Tree-2 Tree-3 Tree-4 Tree-5 Tree-6 Tree-7 Tree-8

No Weight No Weight No Weight No Weight No Weight No Weight No Weight No Weight

Orc

hard

-1

Age of the

bearing

trees

1

2

3

4

5

6

To

tal

212

Sl.

No

Date of

crop

harvest

Tree-1 Tree-2 Tree-3 Tree-4 Tree-5 Tree-6 Tree-7 Tree-8

No Weight No Weight No Weight No Weight No Weight No Weight No Weight No Weight

Orc

hard

-2

Age of the

bearing

trees

1

2

3

4

5

6

To

tal

(Weight should be recorded in Kilograms)

Name of the Primary Worker : Supervisor Name :

Designation : Designation :

Department : Department :

Signature : Signature :

Date : Date :

Scrutinized for accuracy of data reported

District Statistical Officer Signature & Date

213

H. FRUITS , VEGETABLES AND MINOR CROPS DUE DATES A S ON

SL.NO

SEASON CROPS FORMS DUE DATES

FORM-1 FORM- 2

1 Annual

Banana 31st December 31st July

Gauva

31st July

30th September

31st May

Lemon

Sapota

Grapes 31st Jan 31st July

Mango 31st Mar 31st July

Pomogranate 31st Mar 31st July

Turmeric 30th Sept 31st May

2 Kharif

Tomato

30th Sept 31st Jan Brinjal

Beans

Cabbage

3 Rabi

Tomato

31st Jan 30th April Brinjal

Beans

4

Summer

Tomato

30th April 31st July Brinjal

Beans

214

10. INDEX NUMBERS OF CROP PRODUCTION

Introduction:

The Production index is a measure of changes in agricultural output and is

caluculated at three levels, namely: country, regional (economic classes, continents), and

global. The historical series of index of agricultural production should be studied in relation to

population growth. Indices of percapita production and average growth rate in different

regions and long terms trends are predicted from this and it is regularly published by FAO. In

India it is compiled by Ministry of Agriculture and Cooperation, Government of India.

Objective:

Index numbers are important indicators to monitor the performance over time and

also the relative performance compared to other sectors at any given point of time. In

agriculture the index numbers are generated to study the trends over time with respect to

area, production, productivity etc. Index numbers also provide comparative performance of

agricultural sector with respect to other sectors of economy.

The base year for the present series of Index of Area, Production and Yield in

agriculture is the triennium ending 2007-08 for National level and 1981-82 for state.

Karnataka state is revising the base year to 2007-08 and revising its basket on par with Govt

of India, to be in harmony with the other series of indices such as Index of Industrial

Production, Wholesale Price Index and other series of National Accounts Statistics.

This procedure has been adopted to fix the base production at its average level by

eliminating the cyclic variations and to evaluate the production with the same price for all the

states in view of wide variations observed in state prices. The index number of area is

obtained as percentage of current year area with respect to base year area of the crop. The

index number of production is also calculated on similar lines. In case of index number of

yields, index number of production is divided by index number of area.

In order to compare the prices of export of agricultural sector with prices of imports

from non-agricultural sector, the Ministry of Agriculture constructs the Index Number of

Terms of Trade (ITT) between agricultural and non-agricultural sectors. This index measures

the relative changes in the prices received by the farmers for produce sold by them in

relation to the prices paid by them for the other commodities purchased for final or

intermediate consumption as well as capital formation.

Main Steps:

The main steps involved in construction the indices of agricultural growth are broadly

classified as follows:

i) Purpose of index numbers

ii) Selection of the base period

215

iii) Selection of commodities

iv) Determination of weights

v) Methodology of computing index numbers

vi) Interpretation of index numbers

Purpose of Index Numbers:

The purpose for which the index numbers are constructed should be clearly stated

without which, it will not be possible to follow the steps in its construction. The purpose of

constructing the indices of agricultural growth is to study trends/changes in area, production

and productivity over time.

Selection of base period:

Agricultural production is greatly affected by certain factors like Rainfall, temperature,

drought, floods etc.., and therefore subject to large fluctuations from year to year. As such

for study of trends in area, production, and productivity, the base period has to be free from

all abnormalities. For eliminating the effects of such factors,

i) base period should be recent enough so that comparisons are meaningful

ii) It should be reasonably normal from the point of view of weather, agricultural

production and agricultural prices.

iii) It should be free from natural calamities like wars, floods, famines, etc

on the basis of these criteria, the triennium ending 1969-70 (i.e average of 1967-68,

1968-69, and 1969-70) has been taken as the base period for computing indices of

agricultural growth of Karnataka.

Selection of Commodities:

Having defined the purpose of index numbers and fixing the base period, the crops

necessarily to be covered are to be determined. While it is ideal to cover each and every

crop grown in the state, practical constraints render such proposition difficult. It is hard to get

statistics of area, production and productivity of all crops. Further lot of computational work is

involved. Therefore a choice has to be made as to crops to be included in the index. As a

practical criterion all important crops in the state are to be covered. If the selected crops

account for over 80% of the total cropped area or agricultural production in the state, then

the index constructed on this basket (of Crops) can be reasonably taken to represent the

over all trend in the agricultural economy of the states.The following crops are included in

computing index.

216

Item Item Group Crops

I Food Grains a) Cereals Rice, Jowar, Bajra, Maize, Ragi, Wheat, and

small millets(7 crops)

b) Pulses Tur, Gram, other Pulses

II Other Non Food Crops a) Oil Seeds Groundnut, Seasamum, Rapeseed, Mustard,

Linseed, Castor, Safflower, NigerSeed and

Coconut (8 Crops)

b) Fibre Cotton, Mesta, Sunhemp(3 Crops)

III Plantation Crops Tea, Coffee,Rubber (3 Crops)

IV Condiments & Spice

Crops

Pepper, Ginger, Chillies, Turmeric, Arecanut,

Cardaumum, Garlic (7 Crops)

V Fruits and Vegetables

Crops

Onion, Potato, Banana, Sweet Potato,

Cashewnut (5 Crops)

VI Miscellaneous Crops Sugarcane,Tobacco, Miscellanious Crops

Totally 39 crops are covered in Karnataka for computation of indices of agricultural growth.

Determination of Weights:

The crops included in the index cannot have equal importance, for instance Rice

among cereal crops has greater importance as compared to other cereal crops. Hence

weightage has to be designed to each commodity according to its importance.

Weights for Index Numbers of Area under Crops:

The Sub-group and all crop indices are worked out directly from the area under them

in different years with reference to their corresponding area in the base year. Thus there is

implicit weighting in proportion to the area under individual crops to the total area under all

crops in the base period.

Weights for the Index Number of Agricultural Produc tion:

The Value of Production of each crop to the total value of production of all 39 crops

during the base period has been taken as weight. The Sub-groups /group in all crop indices

of agricultural production are worked out by using weights assigned to the crops sub-groups

and groups respectively. The Prices used for evaluating the output of crops, during the base

are the average annual harvest prices prevailing in the base period or the wholesale prices

during the peak marketing period in the primary markets.

217

Weights for the Index Number of Yield :

Weights have been assigned only at sub-groups and group level and here again the

same set of weights as under agricultural production have been adopted.

Method of Computing Indices of Agricultural Growth:

The Index numbers of area under crops, yield and agricultural production are

computed by using the chainbase method, under which the area/yield/production of a crop

during year is expressed as relative of corresponding area/yield/production in the preceding

year. These cropwise relative are linked to the base year through the intervening chain

relative to get area/yield/production index for crops. The following formulae are adopted for

computing the indices of agricultural growth of area, production and productivity.

Aiy: Area of ith crop in the yth year

Aio :Area of ith crop in the base year

∑: Summation of all crops

Index Number of Area of crops = (∑Aiy/ ∑Aio) x 100

Piy:Production of ith crop in the yth year

Pio:Production of ith crop in the base year

Qiy : Price per unit of ith crop in the yth year

Qio : Price per unit of ith crop in the base year

∑ : Summation production of all crops

Index Number of Production of crops = (∑PiyQiy / ∑PioQio) x 100

Alternatively, for any group the index of agricultural production is computed by using

the formula

Ci= (∑Piy / ∑Pio ) x 100

and index of group and for all crops by

=(∑CiWi / ∑Wi ) x 100

Where,

Ci is the index number of ith crop

Wi is the weight assigned to the ith crop (proportional value of each crop in the base period)

Formula for the calculation of Index Numbers of Yield (IY):

IY = (Production Index/ Area Index) X 100

This is expressed in notational form as:

IY= (∑AiyYio QioIYiy / ∑AiyYioQio) x 100

218

Where,

Aiy = Area under ith Crop in the yth Year

Yio= Yield per hectare of the ith Crop in the base period

Qio= Price per unit of ith Crop in the base Period

IYiy=Index of ith Crop in the yth Year

Methodology for Calculation of Index Numbers of Are a, Production and Yield for State

by using District Level Index:

Let,

aijk be the area under ith crop in the jth year in kth district.

aiok be the area under ith crop in base year period in kth district.

Pijk be the production of ith crop in the jth year in kth district.

Piok be the production of ith crop in base year period in kth district.

Wik be the weight of ith crop in kth district.

Bio be the price per unit of the ith crop in the base period.

For the kth district and for the jth year, individual crop indices are calculated as below:

(a) Index Number of Area (IA) = IAijk= (aijk/aiok) x 100

(b) Index Number of Production (IP)= IPijk= (Pijk/Piok) x 100

(c) Index Number of Yield (IY) = IYijk= (IPijk/IAijk) x 100

For any sub-group G of commodities, the indices for the jth year and kth district are

calculated as below:

(a) Index Number of Area = ( ∑aijk /∑aiok ) x100

The district index is obtained by including all the items of the district in sub group G

where the summation is taken over items in G.

(b) Index Number of Production = ( ∑PijkBio /∑PiokBio) x 100

(c) Index Number of Yield = (Index of Production/Index of Area) x 100

219

ANNEXURE (INDEX OF AGRICULTURE PRODUCTION)

Interpretation of Index:

The index numbers of agricultural area, production and productivity are required to

be analyzed with reference to the behavior of indices of crops over periodof years. This

helps in formulating plans and policies on agriculture in state and national level.

Weights allocated for Index of Agricultural Production - India and karnataka

Crops

India Karnataka

Crops

India Karnataka

Weights

(%) Base

(TE2007-

08=100)

Weights

(%) Base

(TE

1993-94)

Weights

(%) Base

(TE 1981-

82 =100)

Weights

(%) Base

(TE 2007-

08=100)

Weights

(%) Base

(TE=

1993-94)

Weights

(%) Base

(TE 1981-

82 =100)

Rice 16.79 19.43 29.74 Cotton 4.38 6.40 4.37

Wheat 17.89 17.10 14.45 Jute 0.66 0.37

Jowar 1.58 1.41 4.43 Mesta 0.01 0.06 0.14

Bajra 1.63 1.61 1.87 Coconut 1.72 2.76 1.83

Maize 2.92 1.84 2.41 Cotton seed 2.12 0.73

Ragi 0.36 0.57 0.95 Sun hemp 0.01 0.06 0.03

Small Millets 0.08 0.08 0.47 Potato 3.61 2.48 2.09

Barley 0.25 0.25 Sweet Potato 0.19 0.25 0.31

Corse Cereals 6.82 6.09 Onion 1.50 0.92 0.55

Total Cereals 41.50 42.61 54.32 Banana 3.18 3.04 0.97

Gram 3.45 3.45 3.07 Cahewnut

(Processed)

0.35

Tur 1.68 1.81 1.58 Tobacco 0.15 0.86 1.12

Moong 0.89 Guar seed 0.62 0.29

Urad 1.07 Black Pepper 0.21 0.16 0.10

Lentil 0.55 Dry Chilies 1.28 1.13 1.06

Horse Gram Dry Ginger 0.27 0.27 0.11

Other Pulses 1.21 3.29 Turmeric 0.52 0.55 0.18

Total Pulses 8.86 8.02 7.94 Areca nut 1.38 1.00 0.26

Total Food

Grains

50.36 50.63 62.26 Cardamom 0.10 0.22 0.22

Groundnut 4.09 3.20 5.60 Coriander 0.19 0.17

CastorSeed 0.48 0.48 0.19 Garlic 0.69 0.69 0.22

220

Weights allocated for Index of Agricultural Production - India and karnataka

Crops

India Karnataka

Crops

India Karnataka

Weights

(%) Base

(TE2007-

08=100)

Weights

(%) Base

(TE

1993-94)

Weights

(%) Base

(TE 1981-

82 =100)

Weights

(%) Base

(TE 2007-

08=100)

Weights

(%) Base

(TE=

1993-94)

Weights

(%) Base

(TE 1981-

82 =100)

NigerSeed 0.06 0.14 0.13 Tea 0.27 1.42 1.46

Seasamum 0.47 0.60 0.65 Coffee 0.60 0.64 0.44

Rape and

Mustard

3.57 4.30 2.41 Rubber 1.88 0.57 0.39

Linseed 0.09 0.20 Grand Total 100.00 100.00 96.31

Safflower 0.09 0.09

Sunflower 0.78 0.59

Soyabean 3.54 2.13

Total

OilSeeds

13.17 11.97 11.58

Sugarcane 9.83 11.98 8.11

In Karnataka State Index of Agricultural Production is computed with base 1981-82

and published in Fully Revised estimates. At present DES has made an attempt to change

base period to 2007-08, it is under process.

221

11. GENERAL CROP ESTIMATION SURVEY (CES)

I. Introduction:

India is primarily an agriculture-based country and its economy largely depends upon

agriculture. Presently, contribution of agriculture is about one third of the national GDP and

provides employment to over seventy percent of Indian population. Therefore, our country’s

development largely depends upon the development of agriculture. The agricultural

production information is very important for planning and allocation of resources to different

sectors of agriculture.

The historical famine of 1860 emphasized the need for more statistical information. In

1866, the British Government Initiated collection of agricultural statistics mainly as a by

product of revenue administration and these reflected the then primary interest of the

Government in the collection of land revenue.

The initiation of crop-cutting experiments based on random sample surveys for

estimation of yield rates of principal crops for replacing the traditional eye-appraisal method

was the direct result. In 1949, the Technical Committee on Coordination of Agricultural

Statistics (TCCAS) was set up by the Ministry of Agriculture which highlighted the gaps in

agricultural statistics and the improvements necessary to remove the defects. In an attempt

to fill the gap, during that period Prof. Mahalanobis introduced a new statistical system to

estimate crop statistics which is known as Grid sampling . In sample surveys the final

estimate is prepared from information collected for sample units of definite size (area)

located at random. In large-scale surveys, cost and precision of the results depend on size

of sampling units (area)and the number of sampling units. Therefore, it is important to strike

a balance between these two quantities in planning of surveys.

In this context, the approach of grid sampling had been proposed by Prof. P. C.

Mahalanobis for area sampling. According to this approach, the whole area is considered as

a statistical field consisting of a large number of basic cells each having a definite value of

the variate under study. These values (with suitable grouping) form an abstract frequency

distribution corresponding to which there exists a set of associated space distributions

generated by allocating the variate values to different cells in different ways. This raises

novel problems which are space generalizations of the classical theory of sampling

distribution and estimation. On the applied side it also enables classification of the technique

into two types:(a)‘individual’ or (b) ‘grid’ sampling depending on whether each sample unit

consists of only one or more than one basic cell. For most space distribution, precision of the

result is nearly equal for both types of sampling; these are called fields of random type. For

certain fields (including those usually observed in nature) precision depends on sampling

type i.e. these are fields of non-random type. This technique was applied in estimation of

acreage under jute covering 60,000sq. miles in Bengal in 1941-42, and it was observed that

the margin of error of the sample estimate was about 2%, while cost was only a fifteenth of

that of a complete census made in the same year by an official agency.

222

Crop cutting experiments are being conducted in Karnataka for estimating average

yield and production of food and non-food crops under Crop Estimation Surveys for the last

six decades. The yield rates are estimated through a national programme known as General

Crop Estimation Survey (GCES). It is a scientifically designed survey methodology based

on crop cutting experiments (CCE) in which 28 food and non-food crops of which

3 horticultural crops are covered.

With the introduction of comprehensive Crop Insurance Scheme in 1985, the Yield

data assumed greater significance in view of its linkage with compensation under CIS. The

shortfall in yield based on GCES estimates is converted to money in terms of compensation

payable subject to the procedure as laid down under NAIS.

While the primary purpose of yield data under Crop Insurance Scheme was to decide

the compensation, it is more significant due to its relevance in various other aspects of the

scheme viz, Fixing of indemnity limits, Fixing threshold yield, Determining shortfall in yield,

Arriving at actuarial premium rates and fixing maximum sum insured limits.

II. Objective:

The main objective of the Crop Estimation Surveys is to estimate the yield per hectare

of the important food and non-food crops at Grama panchayat, Hobli, District and the State

levels and to collect useful ancillary information on crop management on the existing

cultivation practices, attack of pests and diseases etc., After the introduction of Crop insurance

Scheme(CIS) in the state, the results obtained out of CES are being made use to assess the

crop loss for settlement of crop insurance claims.

III. Programme:

The programme of work under the survey consists of conduct of crop cutting

experiments variety wise in irrigated and unirrigated areas in each season in the selected plots

on the selected crops. About 90,000 to 1,00,000 plots are selected every year for this

purpose. The plots are of size 5m x 5m or 10m x 5m depending upon sowing pattern of the

crop.

The process consists of

(i) Selection of Villages

(ii) Selecting of Survey/Sub survey numbers

(iii) Selection of field

(iv) Locating and marking of an experimental plot of specified size in a field selected

on the principles of Random Sampling

(v) Harvesting and threshing of its produce

(vi) Recording the weight of the produce and other ancillary information in the

prescribed form.

223

IV. Sampling Design:

The Sampling Design adopted for the survey is Multistage Stratified Random Sampling

with taluks as strata, villages within a stratum as primary units of sampling, fields within each

selected village as sampling units at second stage and experimental plot of specified size as

the ultimate unit of sampling.

V. Sample Size:

Experiments to be planned on a crop are determined each year by the DES so as to

obtain the yield rate with desired precision at the district / State level. Experiments are

allocated to the districts on the selected crops / varieties in proportion to the area under the

crops / varieties in different districts. Within the district, the experiments are allocated to the

taluks, in proportion to the area under the crop in different taluks. Villages are selected at

random from the list of Timely Reporting Scheme (TRS) villages for each selected crop during

the year. In each selected village, 2 experiments are conducted in 2 plots of specified size

located in two distinct survey / sub-survey numbers.

At present experiments are planned on each crop are determined each year based on

the area under each hobli/taluk as notified under Crop Insurance Scheme(CIS).The Same

sample size is maintained for CES and also to maintain single series of crop cutting

experiments both of production estimate and also for percentage of crop loss under CIS. The

number of crops experiments are planned in a stratum in accordance with number of

crops/hoblinotified under CIS is the deciding factor of sample size under CES. Thus the

number of experiments planned in a strartum is in accordance with the number of crops/hobli

notified by the Government. As per Rashtriya Krishi Bhima Yojan (RKBY) guidelines, 12 crop

experiments are conducted in a notified hobli on a notified crop. Under MNAIS

GramaPanchayath is the unit of insurance. 8 experiments are conducted in a notified

GramaPanchyath.

From 2005-06 crop cutting experiments planned under General Crop Estimation

Survey and CIS have been merged and a single series of crop cutting experiments planned.

Sample size is determined on the Government Order notifying crops /hoblis under CIS.

As the hobli is the unit of insurance under Crop Insurance Scheme, minimum of

5 villages are to be selected (as to accommodate 10 experiments) at random from the list of

villages preferably from TRS frame. For each selected village 2 experiments are to be

conducted in two plots of specified size located in two distinct survey /sub survey numbers.

Under MNAIS Grama Panchayath(GP) is the unit of insurance 2 villages are to be

selected so as to accommodate 4 experiments in that GP, for groundnut 4 villages at

8 experiments to be conducted in that GP.

If in a Hobli/Grama Panchayath notified crop is sown in less 5 /2 villages respectively

specified number of crop cutting experiments is to be conducted in the villages where there is

availability of such crop area.

224

VI. Organisation:

The Directorate of Economics & Statistics is responsible for planning and organizing

the Crop Estimation Surveys as also processing, analyzing the data and publication of the

results. The District Statistical Officers are responsible for organizing the Crop Estimation

Survey work at district level. The primary field work of the survey is entrusted to the staff of

Agriculture, Horticulture, Revenue, RDPR, CADA. The National Sample Survey Office

(NSSO) has the overall responsibility of developing suitable techniques and ensuring adoption

of uniform concepts, definitions and procedures in the Crop Estimation Surveys in the State. It

reviews the design of the survey, plan of experiments; details of implementation and the

results of the surveys besides participating in the training camps by the District Statistical

Officers for the field and supervisory staff. The NSSO staff will also supervise the field work

under the scheme of Improvement of Crop Statistics (ICS).

VII. Agencies Involved:

Village Accountants of Revenue Department, Agricultural Assistants of Agriculture

Department, Gram Panchayath Secretaries of RDPR Department, Agricultural Assistants and

Command Area Development Authority are the primary workers for conduct of crop cutting

experiments. Assistant Commissioners, Tahsildars, Deputy Tahsildars and Revenue

Inspectors of Revenue Department; Chief Planning Officers, Statistical Officers, Assistant

Statistical Officers, Taluk Executive Officers, Taluk Extension Officers, and Progress

Assistants of RDPR Department; Joint Directors, Deputy Directors, Assistant Directors,

Agricultural Officers and Assistant Agricultural Officers of Agriculture Department; and District

Statistical Officers and staff of the Directorate of Economics & Statistics are the supervisors.

These allocations of primary workers and supervisors areas per the following Government

Orders:

1) GO No. PÀÈvÉÆÃE/203/PÀÈE/1999 ÉAUÀ¼ÀÆgÀÄ ¢£ÁAPÀ 2-10-2000 involving Agricultural

Assistants and Assistant Agriculture of Watershed Development Department,

2) GO No. d ÀAE/119/¹JJA/2003 ÉAUÀ¼ÀÆgÀÄ ¢£ÁAPÀ 3/9/2003 involving Agricultural

Assistants working Command Area Development Agency(CADA),

3) GO No. UÁæC¥À/115/UÁæ¥ÀAPÁ/2003 ¢£ÁAPÀ 18/10/2003 involving GramaPanchayath

Secretaries,

4) GO No. PÀÈvÉÆÃE/141/vÉÆÃE/2008 ÉAUÀ¼ÀÆgÀÄ ¢£ÁAPÀ 12-11-2008 involving

Assistant Horticulture Officers of Horticulture Department.

VIII. Training:

Training is imparted by the District Statistical Officers and staff to the primary workers

and supervisory officers regularly in conducting crop cutting experiments before the onset of

monsoon every year. The officers of National Sample Survey Organisation will participate in

the training programme as observers.

225

IX. Supervision:

Supervision is an essential part of a sample survey for ensuring quality of data

collected at field level and for enhancing the reliability of estimates. The extent of supervision

to be done at pre-harvest/harvest /post-harvest stage by the staff of different departments is as

follows:

a) By Revenue/Agriculture/RDPR/CADA/Horticulture 20% of the experiments allotted

for conducting crop cutting experiments to these departments.

b) By Directorate of Economics &Statistics - 15% of the total experiments planned.

c) Under the scheme of Improvement of Crop Statistics, about 900 experiments are

supervised by officers of National Sample Survey Office(NSSO).

Supervision Chart

Sl.No. Department Crop Supervisor Allotment

1 Revenue Traditional/HB/HY

varieties of

Cereals Pulses

and Minor Millets

1.Assistant Commissioner

2. Tahsildar

3. Deputy Tahsildar

4.Revenue Inspector

-At least one village

per taluk during each

season,

-5% crop-wise

&season-wise

-5%crop-wise

&season-wise

-10% crop-wise

&season-wise

2 Agriculture HB/HY varieties of

Cereals, Oil Seeds

and Cash Crops

1. Joint Director

2.Assistant Director

3.Agricultural Officer/

Assistant

Agricultural Officer


per crop in the district

-10% Crop wise &

Season wise

-30% Crop wise &

Season wise

3 Horticulture Preferably

Horticulture Crops

1. Deputy Director

2. Assistant Director

3.Horticulture Officer

-At least one Village

per crop in the district

-10% crop wise &

season wise

-10% Crop wise &

Season wise

4 Command

Area

Development

Agency(CADA)

HB/HY varieties of

Cereals, Oil Seeds

and Cash Crops

Agricultural Officers -20% experiments

allotted

226

Sl.No. Department Crop Supervisor Allotment

5 Rural

Development

and

Panchayath

Raj

HB/HY varieties of

Cereals, Oil Seeds

and Cash Crops

1. Chief Planning Officer

(CPO)

2. Project Appraisal and

Evaluation Officer(PAEO)

3.Taluk Planning

Officer(TPO)

4. Assistant Statistical

Officer(ASO)

5. Panchayath Extension

Officers


per taluk

-2.5% of the

experiments

-5% of the

experiments

-2.5% of the

experiments

-10% of the

experiments

6 Directorate of

Economics

and Statistics

Traditional/HB/HY

varieties of

Cereals, Pulses

and Minor Millets,

Oil Seeds, Cash

Crops

1.District Statistical Officer

2.Assistant Director

3.Assistant Statistical

Officer

4. Statistical Inspector/

Progress Assistant

-{15% of experiments

allotted

The list of finally selected villages allotted for supervision to other departmental agencies has

to be prepared as per the following format:

Frame for Selection of Villages for Supervision

District: Year: Season: Random Column no. used

Taluk VA

Circle

Village Crop-wise serial number of villages in which crop cutting

experiments are planned in crop

Crop 1 Crop 2 Crop 3 Crop 4 Crop 5 etc.

1 2 3 4 5 6 7 8 9

List of Finally Selected Villages for Supervision

District: Year: Season: Random Column

no. used

Designation

of the

Supervisor

Taluk VA

Circle

Village Crop-wise serial number of villages in which crop cutting

experiments are planned

Crop 1 Crop 2 Crop 3 Crop 4 Crop 5 etc.

1 2 3 4 5 6 7 8 9 10

227

X. Coverage of Crops:

Totally 28 food and non-food crops of which 3 horticultural crops are under the

scheme. Detailed coverage is as follows:

I. Kharif (crops sown from 1 st April to 31 st August):

(a) Cereals:

• Paddy (Tr-I, Tr-UI, HYV-I, HYV-UI)

• Jowar (Tr-UI, HB-I, HB-UI)

• Ragi (Tr-UI, HYV-I, HYV-UI)

• Maize (Tr-UI, HB-I, HB-UI)

• Bajra (Tr-UI, HB-I, HB-UI)

(b) Minor Millets:

(1) Navane (2) Save

(c) Pulses:

(1) Tur (2)Horse Gram (3) Green Gram (4) Black Gram (5) Avare(6) Cowpea

(d) Oil Seeds:

(1) Groundnut (I & UI) (2) Sunflower (3) Soyabean(I & UI) (4) Seasamum

(5) Castor

(e) Horticultural Crops:

(1) Potato(I & UI) (2) Onion( I & UI) (3) Chillies(I & UI)

II. Rabi (crops sown from 1 st September to 31 st December):

(a) Cereals:

• Paddy (Tr-I, Tr-UI, HYV-I)

• Jowar (Tr-I, Tr-UI, HB-I, HB-UI)

• Ragi ( HYV-I, HYV-UI)

• Maize (Tr-I, HB-I, HB-UI)

• Wheat (Tr-I, Tr-UI HYV-I, HYV-UI)

(b) Pulses:

(1) Gram (I & UI) (2) Green Gram (3) Black Gram (4) Horse Gram

(c) Oil Seeds:

(1) Sunflower (I & UI) (2) Safflower (3) Linseed (4) Groundnut

228

(d) Horticulture Crops:

(1) Potato (I) (2) Onion (UI)

III. Summer (crops sown from 1 st January to 31 st March):

(a) Cereals:

(1) Paddy (HYV-I) (2) Ragi ( HYV-I)

(b) Oil Seeds:

G (1) Groundnut (I & UI) (2) Sunflower (I & UI)

IV. Annual crops (Without reference to seasons):

Cash crops-

(1) Sugarcane (2) Tobacco (3) Cotton (I & UI)

Only in the case of cereal crops, experiments are planned on traditional and HB / HY

varieties. Traditional varieties include local and improved types. In the case of other crops,

experiments are planned irrespective of varieties.

Only in the case of all cereals, Groundnut, Soyabean, Sunflower, Tur, Gram, Onion,

Potato, Chillies, Tobacco and Cotton crops, experiments are planned in irrigated and

un-irrigated areas. In the case of others, there is no such category wise planning.

XI. Duties and Responsibilities of Field Functionar ies:

1. District Statistical Officer (DSO):

DSO’s role has to prepare plan of experiments to be conducted in each year on the

basis of the circular issued from DES and Government orders on Crop Insurance Scheme.

1. Selection of Villages according to the procedure and allotment of the experiments

to different agencies among the primary workers.

2. Prepare plan of experiments in the prescribed form CES-4 and send the same to

Tahsildars/Assistant Director of Agriculture/Senior Assistant Director of

Horticulture, concerned officers of CADA, Tauk Executive Officers of Taluk

Panchayaths by 31stMay for Kharif, by 30th September for Rabi, Summer and

Annual seasons.

3. Organize and impart training programme at Taluka headquarters for Primary

Workers and Supervisory staff by end of July every year. Absentees for the training

classes should be trained subsequently to ensure proper conducting of

experiments. Instruction booklets and blank forms have to be supplied to primary

workers and Supervisors during the training programme. Ascertain adequacy of

crop cutting experiments and appraise the concerned authorities for supply /

replacement of such equipment if necessary.

229

4. Ensure harvest stage supervision to the extent of 15% of crop cutting experiments

and send the inspection forms along with Form-2.

5. Arrange for the scrutiny and collection of the filled in form CES-2 and send them to

the DES within a week from the date of receipt (scrutiny and coding instructions are

given in Annexure).

6. Arrange to conduct driage experiments to the extent of 15% of the crop cutting

experiments planned for each crop in accordance with the procedure givenin

Annexure.

7. Prepare progress reports on stages of receipt of CES-1, CES-2, CES-3 for

reviewing the same in monthly district level meetings of all the concerned

departments and district level coordination committees to be held in each season.

8. Send the following reports/returns/forms as per time schedule to the DES.

9. Ensure that yield data register is maintained as per the form CES-12.

10. Initiate action against defaulters.

The following statement shows the calendar of events of CES:

Sl.

No. Reports/Returns/Forms Forms Due Date

1 Allocation Plan of Experiments by

DES to all District

- 31st Mach

2 Allocation of plan of Experiments to

Primary workers and supervisors in

each District

CES Form -4

-Kharif,

-Rabi, Summer, Annual

crops

-15th June

-31st October

3 Allocation of Crop Cutting

Experiments to Primary workers

designation wise and crop wise.

CES Form 7

-Kharif

-Rabi/Summer Annual

-20th August

-15th November

4 Details of Work Load on Primary

workers

CES Form 8

-Kharif

Rabi/Summer Annual

20th August

4 Details of Primary and Supervisory

Staff trained

CES Form 9

-Kharif

Rabi/summer Annual

-20th August

5 Details of Equipments supplied

agency and position

CES Form 10 -20th August

230

Sl.

No. Reports/Returns/Forms Forms Due Date

6 Results of Harvest of Crop Cutting

Experiments

a) Kharif Crops

i) All Crops except Castor and Tur

ii) Tur and Castor CES Form -2

-31st December

-10th March

b) Rabi/Annual Crops -10th May

c) Sunner Crops -31st July

d) Annual Crops

7 Details of Supervision CES Form 12

i) Kharif

ii) Rabi & Annual

iii) Summer

-10th April

-30th June

-31st August

8 Details of driage experiments CES Form 14

i) Kharif

ii) Rabi & Annual

iii) Summer

-10th April

-30th June

-31st August

9 Monthly Progress Report on Crop

Cutting Experiments conducted,

supervised and driage experiments

conducted.

CES Form 11

i) Kharif

ii) Rabi and Annual

iii) Summer

-October, November,

December of the

following year

-January, February,

March of the

following year

-April, May and June

of the following year

10 Details of Non Response CES Form 15

i) Kharif

ii) Rabi & Annual

iii) Summer

-10th April

-30th June

-31st August

2. Statistical Inspector (SI)/Progress Assistant (P A):

1. He has to study crop estimation survey manual/guidelines/instructions/circulars

issued from DES and Government time to time on CES/CIS. Familiarize with

procedures for issuing thorough instructions to Primary worker/Supervisor.

231

2. After the receipt of Plan of Experiments for the year, prepare and maintain CES

check register for monitoring of field work.

3. Organize training programme for primary workers and supervisors as per calendar

prepared by DSO,

4. Obtain blank forms and distribute to the Concerned.

5. Ensure CES equipment position with Primary workers by 31stJuly and ensure

physical verification CES equipment.

6. Collect filled in CES form 1, form 2, form 3 from the concerned and immediately

scrutinize, code and submit to DSO. Have close liaison with the Concerned to have

information about harvest dates and substitution of villages. Obtain probable

harvest dates and intimate the same to the supervisor/DSO.

7. Undertake harvest stage supervision of experiments and submit form-3 for

supervising the same.

8. Ensure that crop area are recorded in RTC (variety-wise) for all CES experiments

and form-1, 2, 3 are filled properly and fully.

3. Tahsildar/Assistant Director of Agriculture (ADA )/Taluk Executive Officers (TEO)/

Horticulture Officers (HO) Agriculture Officers:

Responsible for ensuring conducting of Crop Cutting Experiments byprimary workers

of concerned department and for supervision of CES.

1. Arrange training programme as per calendar issued by DSO to primary workers

and supervisors and actively participate in them.

2. Arrange to supply CES equipment to primary workers.

3. Ensure intimation of harvest dates by the primary workers to supervisors/

DSO/NSSO.

4. Ensure timely receipt of form ces-1, ces-2 from primary workers.

5. Ensure the presence of Primary worker at time of inspection of CES by any

supervisory officer.

6. Ensure his departmental officers supervise the CES experiments allotted to

themand submit reports within 3 days from the date of harvest.

7. Ensure consistency of yields in form CES-2.

8. Review of progress of CES in their monthly meetings.

9. Initiate disciplinary action against defaulters.

10. Maintain stock and issue register of CES equipment.

232

4. Deputy Commissioner/Chief Executive Officer:

1. He shall review the performance of CES in District Level Co-ordination meetings

and Revenue Officers’ meeting,

2. He shall randomly supervise the conduct of CES by surprise inspection for quality

check.

3. He shall take disciplinary action against defaulters.

5. Joint Director of Agriculture/Deputy Director of Horticulture/ Project Officer CADA:

He shall review the progress of CES in monthly meetings of the concerned

departments to ensure that all Planned experiments are conducted and supervised

successfully and CES forms submitted in time.

6. Primary Workers–Village Accountants (VA)/Agricul tural Assistant (AA)/Gram

Panchayath Secretary (GPS)/Panchayath Development O fficer (PDO)/Assistant

Horticultural Officer (AHO):

1. Attend the training programme without fail and collect blank forms CES-1.CES-2.

2. Visit the village where the experimental crop is grown in two distinct survey

numbers, if not verify with additional villages. Even if the crop is not grown in

additional village bring to the notice SI and obtain alternate villages.

3. Intimate probable date of harvest to SI/Supervisor/DSO/NSSO

4. Carryout CES as per procedure

5. Send form ces-1 to SI/PA for each crop separately for each allotted village at least

one month in advance.

6. Submit form CES-2 immediatelyafter the two experiments are harvested at most

within 3 days of harvest.

7. Entries of particulars has to be collected from the farmers without leaving any data.

8. Hand over CES equipments to the Supervisor on transfer and intimate the same to

SI/PA.

XII. Procedure of Conducting Crop Cutting Experimen ts:

Following table provides plot size for different crops for conducting crop cutting

experiments under Crop Estimation Survey.

Crops No. of Crops

Plot size (Meters X Meters)

Paddy, Wheat, Bajra, Jowar, Maize, Ragi, Navane, Save,

Soyabeans, Gram, Horse Gram, Green Gram, Black Gram,

Groundnut,Sugar cane, Safflower, Linseed,cowpea,

Sesamum, Chilies,avare, Potato and Onion

23 5 X 5

Tur, Sunflower, Castor, Tobacco and Cotton 5 10 X 5

233

The primary worker has to visit villages immediately after the training and confirm that

the allotted crop is grown in that village in more than two survey numbers. If not, replace with

substituted village allotted. Even if additional villages are not growing the crop then it has be

brought to the notice of DSO and an alternate village list through Statistical Inspector of the

taluk obtained.

Substituting the village by the primary worker on the plea that village is inaccessible

or that the crop has been already harvested, is not allowed under any circumstances. The

primary worker will be held responsible for loss of experiments.

A Audio Visual CD has been developed by KSSDA for the detailed procedure to be

adopted while conducting Crop Cutting Experiments. The CD is very educative.

The following flow chart explains field activity:

CROP ESTIMATION SURVEY – FIELD ACTIVITY DIAGRAM

STAGE - I

NOTE DOWN THE ORIGINAL VILLAGE FROM THE LIST OF VILLAGES ALLOTTED BY THE DSO

IS THE EXPERIMENTAL CROP GROWN IN ATLEAST 2 DISTINCT SURVEY NUMBERS

IDENTIFICATION OF VILLAGE

YES NO

SELECT THE ORIGINALVILLAGE

LOOK FOR SUBSTITUTION OF VILLAGE WHERE THE EXPERIMENTAL CROP IS GROWN IN 2 DISTINCT SURVEY NOS.

YES NO

INFORM CONCERNED SI / PA FOR ALTERNATE SELECTION/VILLAGE

PROCEED TO STAGE-II

234

STAGE – II

0

Selection of Survey/Sub-survey Number:

1.Selection of Survey Number:

Ascertain the highest survey number of the selected village, from the RTC or other

village records. The random number given for selection of survey number as per the plan of

experiments (form No : CES-4) must be compared with this highest survey number in the

selected village. If the given random number is smaller than or equal to the highest survey

number, the survey number corresponding to the random number itself is to be selected.

The random number, if higher than the highest survey number must be divided by the

highest survey number and the remainder noted. Select the survey number corresponding

to this remainder. If the remainder is zero, then the highest survey number itself is to be

selected. If the two random numbers (given for selection of two experiments) lead to

selection of the same survey number, then the next highest survey number growing the

experimental crop is to be selected for the second experiment. If the experimental crop is

not grown in either of these selected survey numbers, select the next survey numbers

growing the experimental crop.

Proceeding on these lines, if the experimental crop is not grown in any of the survey

numbers till the highest survey number, select the survey number satisfying the condition

starting from the first survey number of the village.

SELECT 2 DISTINCT SURVEY NUMBERS USING RANDOM NUMBERS ASSIGNED BY THE DSOs (SEE PARA 1.1)

FIND OUT WHETHER THE SELECTED SURVEY NUMBER HAS DIVISIONS

SELECTION OF SURVEY / SUB-SURVEY NUMBER

YES NO

SELECT THE DIVISION/ SUB-SURVEY NUMBER AT RANDOM

SELECT THE SURVEY NUMBER ITSELF

PROCEED TO STAGE III

235

Illustration : In the plan of experiments, let the random numbers given for selection

of survey numbers be 566 and 028. Suppose the highest survey number in this village is

364. In the first instance 566 is greater than 364. Divide 566 by 364. Remainder is 202.

Select the survey number equal to this remainder. If the experimental crop is not grown in

this survey number, verify in the subsequent survey numbers ie., 203, 204, 205 . . . . . . . .

364. If the experimental crop is not grown even in these survey numbers select from the

survey numbers from 1 to 201.

The Random number 028 given for the 2nd experiment being less than 364, select the

survey number equal to this random number i.e., 028. If the experimental crop is not grown

in this survey number, repeat the procedure as illustrated above.

2. Selection of sub-survey Number:

If the selected survey number has sub divisions/sub-survey numbers, then one of the

sub division/sub-survey number is to be selected at random. For this, the selected survey

number itself is to be considered as the random number for selection of the sub-survey

number as per the procedure laid down in para 4.1. If the experimental crop is not grown in

the selected sub-survey number, subsequent sub-survey number growing the experimental

crop shall be selected.

Example: The selected survey number 202 has no sub divisions. Therefore first

experiment has to be conducted in this survey number. In survey number 28, suppose there

are 6 sub-survey numbers 28/1,28/2 . . . . . . . . . . . 28/6. Considering 28 as the random

number, divide 28 by 6 and obtain the reminder as 4. Therefore 4th sub-survey number i.e.,

28/4 has to be selected. If the experimental crop is not grown in this sub-survey number,

sub-survey numbers have to be checked in the order 28/5, 28/6, 28/01, 28/02, 28/3 and the

one growing the experimental crop is to be selected.

STAGE – III

SELECTION OF THE FIELD

IF THE SELECTED SURVEY/SUB-SURVEY NUMBER CONTAINS M ORE THAN ONE FIELD GROWING THE EXPERIMENTAL CROP, THE FIELD NEAREST TO THE SOUTH-WEST

CORNER OF THE SURVEY/SUB-SURVEY NUMBER IS TO BE SELECTED (SEE PARA 4.3(A) TO (D)

PROCEED TO STAGE - IV

236

3. Procedure for Selecting the Field:

If the selected survey/ sub-survey number has more than one field growing the

experimental crop, the field nearest to the South-West corner of the Survey / sub-survey

number or the first field satisfying the following conditions must be selected.

a) The area of the field must be at least 5mx5m in the case of all experimental

crops except Castor, Cotton, tobacco, Sunflower and Tur. For the latter, the area

must be 10m x 5m.

b) If the field is sown with mixed crops, the experimental crop must constitute

atleast 10% of the sown area.

c) The experimental crop in the field is not meant for prize competition, seed

production or demonstration.

d) The experimental crop is not grown for fodder.

Assign serial numbers for the fields in the survey / sub-survey number moving from

South-West corner of the survey / sub-survey number towards East. After reaching the East

end, continue assigning serial numbers to the fields from the west side of the South-West

corner of the field. Likewise assign serial numbers to all the fields in the survey / sub-survey

number as per the diagram. Starting from South-West corner i.e., from serial number 1,

select the field which satisfies the above conditions. If none of the fields in this survey /

sub-survey number satisfy the above conditions, select the next survey / sub-survey number.

ILLUSTRATION FOR NUMBERING FIELDS

N

S

4. Procedure for location of the Experimental plot:

• If the selected field is of irregular shape, a rectangle circumscribing the field

must be so marked that is just includes the entire selected field.

• See whether the selected crop is a row crop.

• Sugarcane, Cotton, Tobacco, Castor are considered row crops. Procedure for

location of the experimental plot for these crops, see para 4.7.

9 10 11 12

5 6 7 8

1 2 3 4

W E

S/W

237

A CA

• All other crops and Tur and Sunflower, if not grown in rows are considered as

non-row crops.

• Procedure adopted for location of experimental plot for these crops, see para

4.6, 4.4.45ms = 7 steps and 10ms = 13 steps

Location of the Experimental Crop if the selected f ield is of irregular shape

ABCD & PQRS are the selected fields, say

A'BC'D' & PQR'S are the rectangles circumscribing the fields respectively.

STAGE – IV

Marking the experimental plot to be harvested

If the selected field is of irregular shape, a rectangle circumscribing the field must be marked as illustrated in the Diagram

For row crops, starting row and starting point has to be determined using distinct random numbers for row and length (para3.5)

Locate the starting point of the experimental plot for the crops, which are not grown in rows as per the procedure given in para 4.6

Locate the plot

A'

D'S

R

Q P

E

D

A BA

C' R'

Proceed to Stage V

238

5. Location of the experimental plot for non-row cr ops:

After identifying the South-West corner of the selected field, its length and breadth

must be measured from this point in normal walking steps and noted down. After deciding the

appropriate size of the experimental plot as per para 4.3(a), subtract 7 or 13 steps in length as

the case may (13 in case of Tur and Sunflower, 7 in case of other non row crops). Subtract

7 steps from breadth. Compare the reduced steps so got with the random numbers given for

length and breadth. If the random number is less than or equal to the reduced steps (in length

and breadth), random number itself is treated as the starting step. If the random number is

greater than length and breadth (reduced steps), divide it by the reduced steps in

length/breadth. Remainders thus obtained determine the starting point of the experimental

plot. Then mark the experimental plot using measuring tape and pegs.

Illustration : Let the selected crop be Ragi

• Size of the experimental plot should be 5m x 5m

• Length of the field – say 42 steps

• Breadth of the field – say 29 steps

• As the plot size is 5m x 5m, deduct 7 from length. 42-7=35. Deduct 7 from

breadth 29-7=22

Location of the plot : Non-row crops

P4 5m P3

N

5m 5mW E

P1 5m P2

S

P1P3 = P2P4 = 7.07m

29 s

teps

42 steps28steps

21 s

teps

239

• Random numbers given for Length be – 028 and Breadth be - 219

• Random number 028 given for length is less than 35 (reduced length in steps).

Hence starting from the South-West corner of the field, walk along the length of

the field and stop at 28th step.

• Random number 219 given for breadth is greater than 22. Hence divide 219 by

22 Remainder thus obtained is 21.

• Now, walk into the field for 21 steps in the direction perpendicular to already

marked point along length. This (28, 21) is the South-West corner of the

experimental plot. Fix a tall straight peg at this point. Let this point be P1.

• From P1, measure 5m to the right parallel to the length and fix a second peg(P2).

The line joining P1 and P2 is the baseline of the experimental plot.

• To mark the 3rd corner, let one man stand at P2 and another at P1. Let the

former hold the measuring tape at its ‘zero’ mark and the latter at 12.07 metre

mark.

• Let the third man holding the tape at the 5m mark in between, move away from

P1 and P2 and reach third corner P3 such that the distance from P1 to P3 is

7.07m and from P2 to P3 is 5m. Fix a peg at this point P3.

• Same procedure is followed to determine the point P4 and a peg fixed at this

point. Check the distance between P3 and P4. Verify whether it measures 5m.

6. Location of the experimental crop for row crops (Ex:- Cotton, Tobacco, Castor):

Starting from the South-West corner of the field, count the number of rows (N) in the

field. Add 1 to N and note down N+1. Find out whether the length of the row is 10m or

more than 10m. If more than 10m, find the average number of rows in a width of 5m. If the

length of the row is ≤ 10m, the number of rows that can be accommodated in 10m length is

found out. Let this be R. Deduct ‘R’ from N+1. Compare this with the random number given

for length and proceed as in para 4.1 to find out the starting row. Measure the length of the

row in steps and deduct 13 steps if more than 10m and deduct 7 steps if the length of the

row is ≤ 10m. Then compare the reduced steps with the random number given for breadth

and proceed as in para 4.1 to find out the starting step. Locate the experimental plot after

finding the starting row and the starting step.

Example :Let the selected crop be cotton

� Size of the experimental plot is 10m x 5m; Let the number of rows in the

field be 68

240

S/W corner

Location of the plot – row crops

N

P4 P3 W

E

5 m

69 r

ows

55th row

P1 10 m P2 S

8th step

23 steps

� Add 1 to 68 (68+1=69)

� Let the length of the row be more than 10m

� Find the average number of rows in 5m width, say 12 rows

� Deduct 12 from 69 (69-12=57)

� Let the random number given for length be 112.

� As 112 is greater than 57, divide 112 by 57. Remainder is 55

� Therefore, starting row is the 55th row.

� Now, measure the length of this starting row (55th row) in steps. Let it measure

23 steps.

� Deduct 13 from 23 (23-13=10)

� Let the random number given for width be 238.

241

� As 238 is greater than 10, divide 238 by 10. Remainder got is 8.

� Therefore random step of the experimental plot lies at 8th step.

Location of the experimental plot

� Starting from the beginning of the selected row, measure the distance in steps

along the row, equal to the random step number and fix a peg P1 at this point in

the space between the selected row and the preceding row.

� P1 is the South-west corner and the starting point of the experimental plot.

� From this point, measure a distance of 10m along the row and fix the second

peg (P2), opposite to P1.

� From P2, count the number of rows coming in 5m width and fix a peg (P3) in

between rows opposite to P2.

� From P3 measure 10m and fix a peg (P4) at that point opposite to P1.

thus, P1, P2, P3, P4 is the required experimental plot.

� These pegs should not be disturbed until the last picking is completed.

Location of plot for Sugarcane: Even though sugarcane is categorized under row crops,

the size of the experimental plot is 5m X 5m. Procedure for locating the experimental plot is

similar to that of other row crops.

STAGE – V

HARVESTING THE CROP

WEIGHING AND RECORDING THE CORRECT WEIGHT OF THE PRODUCE

REACHES THE DISTRICT STATISTICAL OFFICER WITHIN 3 DAYS FOR SCRUTINY AND CODING

REPORTING IN CES FORM 2

REACHES THE HEAD OFFICE WITHIN 10 DAYS OF HARVESTING FOR DATA PROCESSING AND WORKING OUT THE AVERAGE YIELD

ARRIVE AT PROUDUCTION ESTIMATES

242

7. Harvesting the Crop:

Preparing the plot for harvesting:

1. After fixing the pegs P1, P2, P3 and P4 tie a string connecting these pegs all

around forming a square (5m x 5m) / rectangle (10m x 5m) as the case may be.

2. The string must be stretched tight and the plants along the border must be

examined.

3. Only such plants more than 50% of the bottom of which fall within the boundary

of the string (experimental plot), should be included in the sample plot for

harvesting.

4. In case of mixed crop, the experimental crop alone must be harvested.

5. The experimental plot must be harvested just prior to the harvesting of the field or

on the day the cultivator harvests it.

8. Procedure of Harvesting Different Crops:

a. Paddy and Wheat : the straw with ear heads are cut;grains are separated and

weighed after threshing., Final Produce obtained should be weighedto nearest 10

grams.

b. Jowar, Bajra, Ragi, Maize and Navane:- Only cobs are to be harvested and

weighed, Final Produce obtained should be weighedto nearest 10 grams.

c. Horsegram, Linseed, Safflower and Sesamum: - Plants are cut or pulled up and

tied in bundles for recording the weight. Weigh the bundles harvested to be

recorded nearest to 10 Gms.

d. Gram, Blackgram, Greengram, Tur and Soyabean, avare, cowpea:– pods are

separated from the plants and the weight recorded should be nearest to 10 gms.

e. Haraka and Save: Plants are cut close to the ground and tied in bundles to record

the weight.

f. Onion and Potato: Plants are uprooted, Onion bulbs and Potato tubers are

separated and weighted.

g. Chillies: Chilly is harvested in more than one picking. In each picking Chillies are

weighed and the weight recorded.

h. Groundnut: Uproot or dig up the plants and then separate pods and weigh.

i. Sunflower : Fully ripe flowers are harvested and weighed

j. Cotton and Castor: Cotton bolls and Castor bunches are picked more than once.

Kapas in the case of Cotton and Castor with shells are weighed in each picking

and the weight recorded.

243

k. Tobacco: In case of Virgina tobacco, ripe leaves of uniform maturity are cut in

stages beginning from the bottom in cool hours of the day and the weight

recorded. Harvest is completed in 6 to 8 pickings.

In case of Desi tobacco, whole plant is cut and subsequently leaves are cut with little

stalk. Whole harvest is completed in one or two stages.

l. Sugarcane: Harvesting is done as per the local practice. Cane is cleaned by

stripping leaves and pruning bottoms and tops. Weigh the produce using spring

balance. After deducting the weight of the binding material, net weight is

recorded.

9. By-Product:

After weighing the produce (i.e., grains) from the experimental plot, weigh and note

the weight in form no CES-2. Following by-product has to be accounted:

-hay of straw (Paddy and Wheat);

-cob/ear-heads(Jowar, Bajra, Ragi, Maize and Navane, Save);

-pods(Tur, Greengram,Gram, Blackgram, Soyabean, Groundnut);

-flowers(Sunflower)

-bunches(Castor)

-bolls (Cotton)

-leaves(Tobacco) are only harvested, the associated plants also must be cut

following local

practice , and weight of these plants/sticks to the nearest 500 grams must be

recorded.

In the case of Horsegram, Seasamum Linseed, Safflower, Potato and Onion since

whole plant is harvested and weighed, taking weight of by product does not arise.

10. Procedure of Conducting driage experiments:

The weight of the harvested produce reported are weight of the produce immediately

after the harvest. Except Sugarcane, Tobacco, Cotton. It is necessary to carryout driage

experiments to obtain estimates of yield in terms of final dried produce. In case of Cotton

final produce are expressed in terms of lint after adopting ginning percentage in (kapas to

lint) as obtained from ginning factories. In the case of Tobacco final produce expressed are

obtained from tobacco board. In case of Sugarcane final produce will be expressed in canes

only.

Driage experiments are to be conducted in the District Statistical Office. Draige

experiments has to be conducted for 15% of experiments, preferably those supervised by

Statistical /Agriculture agency at harvest stage.

244

One kg of weight of the produce should be obtained for carrying out driage

experiments at District Statistical Office. If harvested produce is less than one kg, the entire

plot yield has to be obtained for driage experiments.

Immediately after the harvest obtain one kg of produce in a bag, transfer it to cotton

bag i.e., in DSO Office, label them with farmer name and experiment number. The sealed

bag must be exposed to sun every day for about a week, till the produce weighs same

weight for three consecutive days. After the weight of the produce reaches constant weight

weigh the grains nearest to 10 grams and record weight. The following table provides

harvested produce, final dried grains of different crops are shown here.

Sl. No.

Crop Produce weight at harvest

stage Final Produce Weight after

Driage

1 Paddy Undried Grains Dried and cleaned grains

2 Wheat Undried Grains Dried and cleaned grains

3 Bajra Undried Cobs(ear-heads) Dried and cleaned grains

4 Jowar Undried Cobs(ear-heads) Dried and cleaned grains

5 Maize Undried Cobs(ear-heads) Dried and cleaned grains

6 Ragi Undried Cobs(ear-heads) Dried and cleaned grains

7 Navane Undried Cobs(ear-heads) Dried and cleaned grains

8 Save Undried Grains Dried and cleaned grains

9 Tur Undried Pods Dried and cleaned grains

10 Soyabeans Undried Pods Dried and cleaned grains

11 Gram Plants Dried and cleaned grains

12 Horse gram Plants Dried and cleaned grains

13 GreenGram Plants Dried and cleaned grains

14 Black gram Plants Dried and cleaned grains

15 Groundnut Undried Pods Dried Pods and Kernals

16 Safflower Plants Dried and cleaned grains

17 Linseed Plants Dried and cleaned grains

18 Sesamum Plants Dried and cleaned grains

19 Sunflower Flowers Dried Seeds

20 Castor Capsules Dried Seeds

21 Tobacco Green Leaves Cured Leaves

22 Cowpea Undried Pods Dried and cleaned grains

23 Avare Undried Pods Dried and cleaned grains

245

11. Reports:

4.12.1 The following reports are generated from CES and sent to NSSO:

a) District and state wise, season, variety and crop wise average yield for no of

experiments for irrigated and un irrigated crops;

b) District and state wise, season, variety, pure and mixed sown and crop wise

average yield for no. of experiments for irrigated and un irrigated crops;

c) Frequency distribution of plot yields state wise season, variety, source and crop

wise reports;

d) District wise, crop, variety and source wise percentage of area under improved

agricultural practices {Seeds(Tr/HB/HYV), chemical fertilizers, other manures,

variety, use of chemical fertilizers, farm yard manures, unmanured, pesticides

treated} Reports;

e) State, District, taluk wise season, variety, source and crop wise average yield for

irrigated and un irrigated crops Reports;

f) State, District,taluk, hobli wiseseason, variety, source and cropwise average yield

for irrigated and un irrigated crops Reports;

g) State, District , taluk, Grama Panchayath wiseseason, variety, source and crop

wise average yield for irrigated and un irrigated crops Reports;

h) NSSO reports State wise, season wise, food and non-food crops area, coverage,

number of experiments planned, analyzed, response, estimated average yield,

sampling error, total production, percentage of bund correction;

A. NSSO report showing season, crop wise, high yielding and local, source wise

number of experiments analysed, average yield/hectare area in hectares;

B. NSSO State report showing season wise, crop wise, percentage of area under

HYV, improved, local, chemical fertilizer used, other manures, unmanured, treated

with pesticides, not treated with pesticides.

Annual State Report has to be prepared every year compulsorily and is the base

document for many reports.

1. Table should contain name of crops covered cereals, minor millets, pulses, oil

seeds, Commercial crops.

246

2. Sample Design and Procedure of Estimation.

3. Table Departmental attendance of Primary workers in CES training

4. Table Agency wise primary workers drafted, experiments allotted, experiments per

primary worker.

5. Table Agency wise various stages of supervision

6. Table showing agency-wise, season-wise experiments allotted, conducted, lost.

7. Tables Showing experimental plot size for various CES Crops.(Paddy, Jowar,

Maize, Ragi, Wheat)

8. Tables Showing Season wise, crop, variety, No of Experiments planned, analysed

wise area, average yield, percentage of standard error, estimated production.

9. Tables Showing Season wise, variety, source wise ,No of Experiments conducted,

average yield.

10. Tables season, Variety, Percentage of experiments covered use of Chemical

fertilizers, Other Manures, Unmanured, Pesticides.

11. Tables showing season, variety, pure and mixed sown, No of Experiments

conducted, average yield.

12. Tables crop,number of experiments planned, analaysed, estimated average yield,

estimated production

13. Tables crop, non experiments planned, analaysed, estimated average yield,

estimated production (Navane, Save)

14. Tables Pulses, number of experiments planned, analaysed, estimated average

yield, estimated production(Tur, Horse Gram, Green Gram, Black Gram, Gram)

15. Tables Oilseeds Pulses ,number of experiments planned, analaysed, estimated

average yield, estimated production(Groundnut, Seasamum, Castor, Soyabean,

Sunflower, Safflower, Linseed)

16. Tables Commercial Crops ,number of experiments planned, analaysed,

estimated average yield, estimated production(Sugarcane,Cotton,Tobacco)

247

ANNEXURE (CES)

Codes used in CES forms

Sl.No. Crop Code District Code Season Code Department Code

1 Paddy 01 Bangalore(U) 01 Kharif 1 Agriculture 1

2 Jowar 02 Bangalore(R) 02 Rabi 2 Revenue 2

3 Ragi 03 Bagalkote 03 Summer 3 DES 3

4 Maize 04 Belagaum 04 Annual 4 NSSO 4

5 Bajra 05 Bellary 05 RDPR 5

6 Wheat 06 Bidar 06 Horticulture 7

7 Navane 07 Bijapur 07 Others 8

8 Save 08 Chamarjanagar 08 Variety Code Manure Code

9 Gram 11 Chikkaballapura 09 Traditional 1 Farm yard 2

10 Tur 12 Chickmagalur 10 Hybrid(HB) 2

11 Blackgram 13 Chitradurga 11 High Yield

(HY)

3

12 Horsegram 14 Dakshinakannada 12

13 Green gram 15 Davangere 13

14 Avare 16 Dharwad 14 Chemical Fertilisers Code

15 Potato 17 Gadag 15 Used 1

16 Sugarcane 18 Gulbarga 16 Farm yard &

Chemical Fertilizers

3

17 Chillies 19 Hassan 17

18 Tobacco 20 Haveri 18

19 Groundnut 21 Kodagu 19

20 Castor 22 Kolar 20 Pesticides Code

21 Seasmum 23 Koppal 21 Used 1

22 Linseed 24 Mandya 22 Not used 2

23 Cotton 25 Mysore 23

24 Sunflower 28 Raichur 24

25 Safflower 38 Ramanagar 25

26 Soyabean 39 Shimoga 26

27 Cowpea 72 Tumkur 27

28 Onion 99 Udupi 28

Uttarkannada 29

Yadgir 30

248

Scrutiny of form CES-1 and CES-2

In order to ensure the quality of data collected it is necessary to scrutinize the filled in

form CES 1 and 2 thoroughly before coding and tabulation of the results.Scrutiny has to be

done taluk level and DSO level to avoid discrepancies. Main object of scrutiny is to rectify the

mistakes at DSO level and avoid back references for consistency of data with local practices.

Instruction for coding form CES-2

Sl.

No.

Item

No. Description Coding Procedure

Coded

Form Remarks

1 1 Year Year 2010-11 as 1011 1011

2 2 Season Season single digit code

Refer code list example kharif as 1

1

3 3 Crop Refer Code List example Ragi 03 03

4 4 Village Three digit code 234

5 5 Hobli Two digit Code (from Hobli code List) 02

6 6 Taluk Give two digit code from taluk code list 04

7 7 District Give two digit code from District code list 05

8 1 Date of sowing Write (DD/MM/YYYY) e.g 01/06/2010 01062010

9 2 Date of Harvesting Write (DD/MM/YYYY) e.g 03/10/2010 03102010

10 3 Pure or Mixed Give 1 for Pure and 2 for mixed 1

11 4 If mixed give percentage

of experimental crop

Give percentage of experimental crop in

two digits

80

12 4(i) Plot Yield in Grams Give 6 digit code i.e 5 kgs 20 grams 005020

13 4(ii) Plot Yield in Grams In case of Cotton/Tobacco/ Castor/

Chillies/ Avare/Cowpeacrops, the total

weight of all pickings should be coded)

14 4(ii) Weight of the by

Product in Kgs

Give 3 digits code example weight of the

stick is 10 kgs.

010

15 1 Type of Seed Refer Code list example HYV as 3 3

16 2 Whether Crop Irrigated Give single Digit Code 1 as irrigated, 2 for

Not Irrigated

1

17 Source of Irrigation Canal - 1, Tank -2, Well or Tubewell -3,

Others-4

18 3 Manures in Qts./acre Give 4 digit code, First digit for Manure

type and 3 digits for quantity, code as per

code list.

1003

249

Sl.

No.

Item

No. Description Coding Procedure

Coded

Form Remarks

19 4 Application chemical

fertilsers

Give 3 digit for quantity kgs/acre NPK

coding will be done at head office

20 5 Attack of pests and

diseases and extent of

damage

% of loss should be given two digits

21 6 Use of insecticides/

pesticides/ fungicides

and others

Give single digit code

22 7 Condition of the crop Good -1,Average-2, Least -3, Lst -4 1

23 8 Crop Density Uniform-1, Not Uniform-2, Scantity-3,

Lost -4

1

A. Average Yield Estimation Procedure:

a) Taluk / Hobli level

Taluk / Hobli level average yield of a crop is obtained as a simple Arithmetic mean of plot yields.

k

i.e.,yi = df [(Σyi) ÷ni]

i=1

where d = driage ratio,

f = conversion factor for converting the plot yield to yield per hectare,

yi = yield of the ith plot,

y = hobli / taluk average yield,

ni= number of plots in the ith taluk / hobli

eg: In BelaguthiHobli of Davanagere district, 12 crop cutting experiments were conducted

on Maize (irrigated) crop during Kharif 2003. Plot yield (y) recorded in these 12 experiments

are (12 kgs, 12.5 kgs), (11 kgs, 11.9 kgs), (10.8 kgs, 11.1 kgs), (10.4 kgs, 12.8 kgs),

(9.5 kgs, 2.4 kgs), (0.6 kgs, and zero).

Sum of the plot yield of all 12 experiments (yi) = 105 kgs

Number of experiments Conducted in the hobli (ni) = 12

Driage Ratio (d) = 49.441%

(Recovery percent of the produce from wet form to dry form)

250

Conversion factor (f) for converting the plot yield to kgs/ha is 400 as the size of the

experimental plot for maize crop is 5m X 5m

105.000 49.441 12 100

= 1730.435 kgs/ha

b) District level

The district average yield (Y) is the weighted average of taluk yields, area of the crop

in the taluk being used as weights.

Y = Σ(aiyi) ÷ Σai

Where ai=area of the ith taluk, yi is the average yield of the ith taluk and ‘k’ is the

number of taluks in the district.

B. Production Estimates:

Production of the crop for the district is obtained by multiplying the estimated average

yield of the crop of the district (Y) with the corresponding area under the crop after applying

5% bund correction to the area.

i.e., P = Y(A−5%A)

where P=Production, A=Area under the crop in the district, Y = District average

yield of the crop.

Terminologies Used

Random Sample: A sample in which all the sampling units are selected with preassigned

selection probability.

Agricultural Year: In India the agricultural year starts in the month of July and ends next

year in the month June.

Stratum: In case of sample surveys the population is divided in to subpopulations of

homogeneous sampling units which is called stratum.

Cluster: A group of sampling units, which are normally homogeneous in nature.

Area apportioning: In case of mixed crops, the allocation of area to different component

crops is called area apportioning.

Mixed Crops: In case of mixed crops a number of crops are grown on the same piece land

in the form of mixture.

x x Hence, Average Yield = 400

k

i=1

k

i=1

251

Cropping Pattern: System of growing different crops in a particular season is called

cropping pattern.

Recognized Mixture: A ratio for allocation of area under different crops under mixed crops

is fixed for recognized mixtures.

Un-Recognized Mixture: A ratio for allocation of area under different crops under mixed

crops is not fixed for un-recognized mixtures.

Normal yield: “The moving average of actual yields per acre as determined on the basis of

the results of crop cutting surveys over a period of ten years is called the normal yield of the

crop”. This was used to determine the crop production in the past.

Condition factor : The condition factor was normally determined based on actual condition

of the crop to obtain production statistics. This was used to determine the crop production in

the past.

Average yield : The average yield was calculated by multiplying normal yield with conditional

factor. This was used to determine the crop production in the past.

Sampling design: List of sampling units with their identification particulars and pre-assigned

probability of selection.

Sampling frame: List of sampling units along with their identification particulars.

Sampling unit: The smallest units which can be identified and are used for drawing samples

and on which observations can be recorded

Population: The population is collection of all sampling units which posses certain

characteristics as per the objectives of the survey.

Stratified multi-stage random sampling: A method of selection of ultimate sampling units

through the process of randomization in two or more than two stages after dividing the

population in to different stratum is called stratified multi stage random sampling. In this

process of selection sampling units at different stages are different.

Marketable grain: The weight of the harvested grain, which can be sold in the market after

drying is called marketable grain.

Systematic sample : A sample in which all the sampling units are selected with equal

probability by randomly selecting a particular unit and selecting subsequent units at fixed

distance

Driage experiments: Technique of drying the harvested produce to obtain the weight of

marketable weight.

Ginning: It is a process of separating lint of cotton from its seed.

Crop-cutting experiment: It is technique of selecting random plot of a given size in the field

of a specified crop and harvesting its produce by following specified methodology.

252

Experimental plot: It is randomly selected plot in which crop-cutting experiment is to be

conducted.

First stage sampling units: All the sampling units, which can be selected at the first stage

of random process in multistage sampling design.

Second stage sampling units: All the sampling units, which can be selected at the second

stage of random process in multistage sampling design.

Ultimate stage sampling units: All the sampling units, which can be selected at the last

stage of random process in multistage sampling design.

Operational holding: An operational holding is defined as a techno-economic unit wholly or

partly for agricultural production and operated by one person along or with the assistance of

others, without regard to title, size or location.

Household: A household is a group of persons normally living together and taking food from

a common kitchen.

253

«ªÀgÀ ¸ÀAPÉÃvÀ

3. É¼É

4. UÁæªÀÄ

6. ºÉÆÃ§½

7. vÁ®ÆèPÀÄ

1. GzÀÝPÉÌ / C¤AiÀÄvÀ ¸Á°UÉ (Random Row) 2. CUÀ®PÉÌ / C¤AiÀÄvÀ ºÉeÉÓAiÀÄ ¸ÀASÉåUÉ (Random Step)

2.2. ¸Á®Ä ¨É¼ÉUÀ¼À ¥Áèl£ÀÄß UÀÄgÀÄw¸ÀÄªÀÅzÀÄ:

¥ÀæAiÉÆÃUÀ-1 ¸ÀAPÉÃvÀ ¥ÀæAiÉÆÃUÀ-2 ¸ÀAPÉÃvÀ

±ÀÄzÀÞ / «Ä±Àæ ±ÀÄzÀÞ / «Ä±Àæ

PÀæ.¸ÀA. ¸ÀAPÉÃvÀ

1. 1.

2. 2.

3. 3.

4. 4.

5. 5.

6. 6.

7. 7.

MlÄÖ :

1. ªÀµÀð 9. i) ªÀÄÆ® PÁAiÀÄðPÀvÀð£À

2. PÁ®(IÄvÀÄ) ºÉ¸ÀgÀÄ ªÀÄvÀÄÛ ºÀÄzÉÝ

PÀ£ÁðlPÀ ¸ÀPÁðgÀDyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ ¤zÉðÃ±À£Á®AiÀÄ

¨É¼É CAzÁdÄ ¸À«ÄÃPÉë - £ÀªÀÄÆ£É-2 - PÉÆ¬Ä°£À ¥sÀ°vÁA±ÀUÀ¼ÀÄ¥Áèn£À C¼ÀvÉ: vÉÆUÀj, ºÀgÀ¼ÀÄ, ºÀwÛ, ºÉÆUÉ¸ÉÆ¥ÀÅöà ªÀÄvÀÄÛ ¸ÀÆAiÀÄðPÁAw ¨É¼ÉUÀ½UÉ 10X5 «ÄÃ. ªÀÄvÀÄÛ G½zÉ®è ¨É¼ÉUÀ½UÉ 5X5 «ÄÃ.

¸ÁªÀiÁ£Àå «ªÀgÀ

ii) PÉÃAzÀæ PÁAiÀÄð¸ÁÜ£À

¥ÀæAiÉÆÃUÀ-1 ¥ÀæAiÉÆÃUÀ-2

5.UÁæªÀÄ

ºï¥ÀAZÁAiÀÄ

10. i) ¸ÁUÀÄªÀ½zÁgÀgÀ ºÉ¸ÀgÀÄ

8. fRÉè

1.2 ¥ÁæAiÉÆÃVPÀ ¥Áèl£ÀÄß UÀÄgÀÄw¸À®Ä PÉÆnÖgÀÄªÀ C¤AiÀÄvÀ ¸ÀASÉåUÀ¼ÀÄ:

2.1. ¸Á®Ä ¨É¼ÉAiÀÄ®èzÀ ¨É¼ÉUÀ¼À ¥Áèl£ÀÄß UÀÄgÀÄw¸ÀÄªÀÅzÀÄ:

i) Dj¹zÀ ºÉÆ®zÀ(field) GzÀÝ(ºÉeÉÓUÀ¼À°è), 7 CxÀªÁ 13£ÀÄß PÀ¼ÉzÀ £ÀAvÀgÀzÀ ¸ÀASÉå

ii) vÀAzÉAiÀÄ/¥ÀwAiÀÄ ºÉ¸ÀgÀÄ

1. ¥Áèn£À DAiÉÄÌ «ªÀgÀUÀ¼ÀÄ ¥ÀæAiÉÆÃUÀ-1 ¥ÀæAiÉÆÃUÀ-2

1.1 Dj¹zÀ ¸ÀªÉð/¸À¨ï ¸ÀªÉð£ÀA§gï ªÀÄvÀÄÛ ¥ÁæAiÉÆÃVPÀ ¨É¼ÉAiÀÄ «¹ÛÃtð(JPÀgÉ ªÀÄvÀÄÛ UÀÄAmÉ/¸ÉAlÄUÀ¼À°è)

i) Dj¹zÀ ºÉÆ®zÀ GzÀÝzÀ°è §gÀÄªÀ ¸Á®ÄUÀ¼À MlÄÖ ¸ÀASÉåUÉ 1£ÀÄß ¸ÉÃj¸À¨ÉÃPÀÄ.

ii) 5/10 «ÄÃlgï CAvÀgÀzÀ°è EgÀÄªÀ ¸ÀgÁ¸Àj ¸Á®ÄUÀ¼À£ÀÄß PÀ¼ÉzÀ £ÀAvÀgÀ §gÀÄªÀ

ii) Dj¹zÀ ºÉÆ®zÀ CUÀ® (ºÉeÉÓUÀ¼À°è), 7£ÀÄß PÀ¼ÉzÀ £ÀAvÀgÀ §gÀÄªÀ ¸ÀASÉå

iii) GzÀÝPÉÌ/CUÀ®PÉÌ §AzÀ ¥ÀæzsÁ£À C¤AiÀÄvÀ ¸ÀASÉåUÀ¼ÀÄ (random co-ordinates)

2. ¥ÁæAiÉÆÃVPÀ ¨É¼ÉAiÀÄ PÉÆ¬Ä°£À «ªÀgÀUÀ¼ÀÄ1. ©vÀÛ£É ªÀiÁrzÀ ¢£ÁAPÀ 2. PÀmÁªÀÅ ªÀiÁrzÀ ¢£ÁAPÀ3. CAwªÀÄªÁV UÀÄgÀÄw¹zÀÝ ¥ÁæAiÉÆÃVPÀ ¥Áèn£À°ègÀÄªÀ ¨É¼ÉAiÀÄÄ ±ÀÄzÀÝªÉÃ CxÀªÁ «Ä±ÀæªÉÃ? «Ä±ÀæªÁzÀ°è ¥ÁæAiÉÆÃVPÀ ¨É¼ÉAiÀÄ ±ÉÃPÀqÀ ¥ÀæªÀiÁt

EvÀgÉ É¼É/ É¼ÉUÀ¼À ±ÉÃPÀqÀ ¥ÀæªÀiÁt

iii) C¤AiÀÄvÀ ¸Á°£À GzÀÝ 13 CxÀªÁ 7£ÀÄß PÀ¼ÉzÀ £ÀAvÀgÀ §gÀÄªÀ ¸ÀASÉå

iv) C¤AiÀÄvÀ ¸Á®Ä/¸Á°£À GzÀÝPÉÌ §AzÀ C¤AiÀÄvÀ ¸ÀASÉåUÀ¼ÀÄ (random co-

4. i) PÀmÁ«£À ¢£À §AzÀ ºÀ¹ E¼ÀÄªÀjAiÀÄ vÀÆPÀ (Q.UÁæA.UÀ¼À°è)

eïÓ÷Ó(CPÀëgÀUÀ¼À°èAiÀÄÆ ¸ÀºÀ §gÉAiÀÄÄªÀÅzÀÄ)

ii) ¥ÁæAiÉÆÃVPÀ ¥Áèn£À°è §AzÀ ºÀÄ®Äè, zÀAlÄ, EvÁå¢ G¥ÀGvÀà£ÀßUÀ¼À vÀÆPÀ (Q.UÁæA.UÀ¼À°è)

iii) §ºÀÄPÀmÁ«£À ¨É¼ÉAiÀiÁzÀ°è PÀmÁªÀÅªÁgÀÄ «ªÀgÀ (E¼ÀÄªÀjAiÀÄ vÀÆPÀ - Q.UÁæA.UÀ¼À°è):

¥ÀæAiÉÆÃUÀ - 1 ¥ÀæAiÉÆÃUÀ - 2 ¢£ÁAPÀ ºÀ¹ E¼ÀÄªÀjAiÀÄ vÀÆPÀ PÀæ.¸ÀA. ¢£ÁAPÀ ºÀ¹ E¼ÀÄªÀjAiÀÄ vÀÆPÀ

MlÄÖ :

254

¥ÀæAiÉÆÃUÀ-1 ¸ÀAPÉÃvÀ ¥ÀæAiÉÆÃUÀ-2 ¸ÀAPÉÃvÀ

1. G¥ÀAiÉÆÃV¹zÀ ©ÃdzÀ «zsÀ (¸ÀÜ½ÃAiÀÄ-1, ±ÀQÛªÀiÁ£ï-2, C¢üPÀ E¼ÀÄªÀj-3)

ºËzÀÄ/E®è ºËzÀÄ/E®è

4. §¼À¹zÀ gÁ¸ÁAiÀÄ¤PÀ UÉÆ§âgÀUÀ¼ÀÄ ªÀÄvÀÄÛ ¥ÀæªÀiÁt ¥ÀæªÀiÁt ¥ÀæªÀiÁt

2.

3.

4.

% %2. % %

1.

2.

1. ¥sÀ¸À°£À §UÉÎ, ¸À«ÄÃPÉë £ÀqÉ¹zÀ ªÀÄÆ®PÁAiÀÄðPÀvÀðgÀ ¸ÁªÀiÁ£Àå «ªÀgÀuÉ

2. ªÉÄÃ°éZÁgÀuÁ¢üPÁjAiÀÄ µÀgÁ

3. fRÁè ¸ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ½UÉ £ÀªÀÄÆ£ÉAiÀÄ£ÀÄß PÀ¼ÀÄ»¹zÀ ¢£ÁAPÀ

¸ÁUÀÄªÀ½zÁgÀgÀ ¸À» / ºÉ¨ÉânÖ£À UÀÄgÀÄvÀÄ ¸À«ÄÃPÉë £ÀqÉ¹zÀ ªÀÄÆ®PÁAiÀÄðPÀvÀðgÀ ¸À»

¥ÀæAiÉÆÃUÀ-1 ¢£ÁAPÀ

¥ÀæAiÉÆÃUÀ-2 ªÉÄÃ°éZÁgÀuÁ¢üPÁjAiÀÄ ¸À»¢£ÁAPÀ

¸ÁQëUÀ¼ÀÄ: ¥ÀæAiÉÆÃUÀ-1

1. 1.

2. 2.

¸ÀºÁAiÀÄPÀ ¸ÁATåPÀ C¢üPÁjAiÀÄ ¸À» fRÁè ¸ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ¼À ¸À»¢£ÁAPÀ : ¢£ÁAPÀ :

2. É¼ÉUÉ ¤ÃgÁªÀj DVzÉAiÉÄÃ?

DVzÀÝgÉ, ¤ÃgÁªÀj ªÀÄÆ® w½¹; £ÁRÉ-1, PÉgÉ-2, ¨Á«/PÉÆ¼ÀªÉ¨Á«-3, EvÀgÉ-4.

3. §¼À¹zÀ ¸ÁªÀAiÀÄªÀ UÉÆ§âgÀzÀ ¥ÀæªÀiÁt (JPÀgÉAiÉÆAzÀPÉÌ QéAmÁRïUÀ¼À°è)

ºÉ¸ÀgÀÄ

(¥Àæw vÀgÀºÉUÀÆ ¥ÀævÉåÃPÀªÁV JPÀgÉAiÉÆAzÀPÉÌ QRÉÆÃUÁæAUÀ¼À°è) 1.

5. ¥ÁæAiÉÆÃVPÀ ¨É¼ÉAiÀÄÄ AiÀiÁªÀÅzÁzÀgÀÆ QÃl gÉÆÃUÀUÀ¼ÀÄ CxÀªÁ EvÀgÉ PÁgÀtUÀ½AzÀ

¥ÀÅl - 2

3. ºÉZÀÄÑªÀj ªÀiÁ»w

«ªÀgÀUÀ¼ÀÄ

"«ªÀgÀUÀ¼À£ÀÄß ¥Àj²Ã°¸À?ÁVzÉ"

"¨É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß PÉÊUÉÆ¼Àî?ÁVzÉAiÉÄAzÀÄ ¥ÀæªÀiÁtÂÃPÀj¹zÉ/ zÀÈrüÃPÀj¹zÉ."

¥ÀæAiÉÆÃUÀ-2

£ÀµÀÖªÁVzÀÝgÉ, ¨É¼É £ÀµÀÖzÀ ±ÉÃPÀqÀ ¥ÀæªÀiÁtªÀ£ÀÄß £ÀªÀÄÆ¢¹. 1.

6. §¼À¹zÀ QÃl£Á±ÀPÀ/²°ÃAzÀæ £Á±ÀPÀzÀ ºÉ¸ÀgÀÄ ªÀÄvÀÄÛ ¥ÀæªÀiÁt (¥Àæw JPÀgÉUÉ Q.UÁæAUÀ¼À°è)

7. ºÉÆ®zÀ°è£À ¥ÁæAiÉÆÃVPÀ ¨É¼ÉAiÀÄ ¹Üw (GvÀÛªÀÄ-1, ¸ÁzsÁgÀt-2, PÀ¤µÀÖ-3, £ÀµÀÖ-0.

8. ¨É¼ÉAiÀÄ ¸ÁAzÀævÉ (crop density): ¸ÀªÀÄ-1, CªÀåªÀ¹ÜvÀ-2, «gÀ¼À-3, £Á±À-0

4. EvÀgÉ «ªÀgÀUÀ¼ÀÄ

255

DISTRICT Taluk Year Crop Season

Slno

Expr -1 Expr-2

Length Breadth Length Breadth

1 2 3 4 5 6 7 8 9 10 11 12 13

1) Column 4 to 9 three digit Random numbers to given

2) col 6 and 8 in the case of Row Crops the random numbers are given in these columns are to be used for selection of rows

4) Non TRS villages must be indicated as such be putting "NTRS" in col 13

5) Villages selected under the scheme of sample check of crop cutting experiments must be indicated as such by putting "SC" in col 13

6) Col 12 if the experiment is alloted to supervision to any official out "-"

DIRECTORATE OF ECONOMICS & STATISTICS - KARNATAKA

FORM No. CES - 4

Crop Estimation Surveys - Plan of Experiments - Finally selected list of villages

Name of the

Village

Name of the

Hobli/VA Circle

Additonal Villages

alloted

Name and Designation of

the Primary workers to

whom the experiments are

alloted

Designation of the

Primary workers to

whom the experiments

are alloted for

supervision Remarks

Pair of Random

numbers alloted

for the selection of

survey numbers

Pair of Random Numbers aloted

for selection of Ploats

3) col 7 and 9 in the case of Row Crops the random numbers are given in these columns are to be used for determing the staring point of random Row to determine

sout-west cornerselection of rows

Expr -1 Expr-2

DISTRICT Taluk Year Crop Season

Common BalanceSpring Balance 1kg 500 gms200 gms 100 gms 50 gms 20gms 10 gms

1 2 3 4 5 6 7 8 9 10 11 12 13 14 13

Date of

acknowledgement

sent to DSO

Signature of Case

worker/Tahsildar/TPO Remarks

Date of

Receipt(DD/M

M/YYYY) WeightsTape Balance

Supplied under

DSO letter no

Date


FORM No. CES - 5A

Crop Estimation Surveys - Stock Register of CES Equipments

DISTRICT Season Year

Total

Croped

area

No of

Experime

nts

Total

Croped

area

No of

Experim

ents

Total

Croped

area

No of

Experi

ments

Total

Croped

area

No of

Experim

ents

Total

Croped

area

No of

Experim

ents

Total

Crope

d area

No of

Experim

ents

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

No of Primary

Workers

Crop 5

Name of the TalukSlno

Crop 1 Crop 3 Crop 4Crop 2 Crop 6


FORM No. CES - 6B

Crop Estimation Surveys -Sample allocation statemenrt

256

DISTRICT Year Sesaon

NPD NEA NPD NEA NPD NEA NPD NEA NPD NEA NPD NEA

NPD

(5+7+9+1

3+15)

NEA (6+

8+ 10+ 12

+ 14+ 16)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

FORM No. CES - 7


Assistant

Agricultura

l Officers

Revenue

Agency

Development

Agency Water Shed

Crop Estimation Surveys -Allocation of Crop cutting experiments to the Primary workers -Designation wise and cropwise

Crop

Horticulture Total Total

area

covered

by the

survey

Agricutural

Assistant

No of

Taluks

selected

Total Area under

Ciops (In

Hectares)

DISTRICT Year

Agency Designation No Kharif Rabi

Sum

mer

Annu

al Total a b c d a b c d a b c d a b c d a b c d

1 2 3 4 5 6 7 8 9 10 11 12 9 10 11 12 9 10 11 12 9 10 11 12 9 10 11 12

b = No of Primary Workers alloted with Four expperiments

District Statistical Officer

_________________Disrict

a = No of Primary Workers alloted with Two expperiments

c = No of Primary Workers alloted with Six expperiments

d = No of Primary Workers alloted with Eight expperiments

if experiments alloted


FORM No. CES - 9 B

Crop Estimation Surveys - Details of Workload of Supervisors

Supervisory Officers Total experiments assigned

Number of Supervisors according to experiments alloted

Kharif Rabi Summer Annual Total

257

DISTRICT Year

Driage Bags

Agency Tape Common Balance Spring Balance Set of Weights

1 2 3 4 5 6

Revenure

Agriculture

Statistical

Horticulture

Development

Water Shed

Others

Total


FORM No. CES -10

Crop Estimation Surveys - Details of Equioments suupplied in position

Equipments

DISTRICT Year

slno Crop

Number of

Experiments

Planned

Up to

Previous

Month

During the

Month Total

Up to

Previous

Month

During

the

Month Total

1 2 3 4 5 6 7 8 9

CES Form -1 Receipt Position CES Form -2 Receipt Position


FORM No. CES -11A

Crop Estimation Surveys - Details of Equioments suupplied in position

DISTRICT Year

Pre Harvest

Stage

Harvest

Stage

Post Harvest

Stage

Pre Harvest

Stage Harvest Stage

Post

Harvest

Stage

Pre

Harvest

Stage

Harvest

Stage

Post

Harvest

Stage

1 2 3 4 5 6 7 8 9 10 11

TotalNumber of

Experiments

alloted for

supervisionCropslno

Number of experiments supervised

Up to Previous Month During the Month


FORM No. CES -11B

Crop Estimation Surveys - Details of Crop cutting Experiments supervised agency wise

258

DISTRICT Month Sesaon Year

slno Crop

Number of

Experiments

Planned

Number of

Experiments

aloted for

Statistical

Supervision

Number of

Experiments

Planned for

driage

Up to

Previous

Month

During the

Month Total

1 2 3 4 5 6 7 8

Number of Driage Experiments


FORM No. CES -11C

Crop Estimation Surveys - Monthly Progress Report on Driage Experiments

DISTRICT Month Sesaon Year

slno Crop Taluk Village

Experiment

No Sowing Harvest

Mixture

Proportion of

Crop

Green

Weight

of Crop

Weight

of by

product

Seeds

Tradition

a/HB/HY

V

If HB/HYB

Specify

the

Nmae of

the rop

Irrigated

or

Rainfed

Source of

Irrigation

Type of

Manure

Quantity

of

Manure

Type of

Fertiliser Quantity

Seeds

used

Quantity

% of

damage

to crops

due to

pests and

diseases Details

Quantity

in

Kgs/acre

Condion

of crop

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Date of PestisidesChemical ManureFarm Yard ManureIrrigationSeeds


FORM No. CES -12A

Crop Estimation Surveys -Data Register

DISTRICT Sesaon Year


Whether

selected

village is

under TRS

Yes/No

Name and

Designatio

n of the

Primary

Worker

Date of

Receipt of

Form No 1

Date of

Harvest of the

experiments I

and II Harvest Dates

Date of

receipt

of form

No CES-2

whether

Experime

nts

alloted

fpr

supervisi

on

Yes/No

If Yes

Name

and

Designati

on of

Supervis

or

Date of

Receipt

of

Inspectio

n form

CES-3

Whether

Selected

for

Driage

Experime

nts

Yes/No

if Yes

Date of

Receipt

of the

Produce

for

driage

Date of

despatch

form no 2

to DES

Date of

despatch

form no 3

to DES

Whether

Experime

nts

selected

under

ICS/CIS/C

ADA/WD

P

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18


FORM No. CES -12B

Crop Estimation Surveys - Check Register

259

DISTRICT Agency Sesaon Year

Number of Experiments supervied

slno Crop Planned Conducted

Alloted for

Supervision Desig nation

Experiment

s alloted

Pre harvest

stage

Harvest

stage

Post

Harvest

Stage Total Remarks

1 2 3 4 5 6 7 Remarks 9 10 11 12

Number of Experiments Supervisors


FORM No. CES -13

Crop Estimation Surveys - Details of SupervisionCheck Register

DISTRICT Sesaon Year


Experiment I

or II

Date of

Harvest

Green

Weight of

Harvested

Produce in

Kgs

Form in

which taken

Total

weight in

Kgs and

Grams

Date of

Receipt of

Harvest

Produce for

driage in DSO

Office

Date of

Final

Weight

ment of

the

dried

produce

in terms

of

cobs/po

ds/plant

s etc

In terms

of grains

seeds/k

ernels

etc

Weight

of Dried

sticks/str

aw Remarks

1 2 3 4 5 6 7 8 9 10 11 12 13

Note 1 Nature of Produce to be taken forv driage (Colum 7 to 11)

Plants - Black gram, Green Gram, Horse Gram, Gram, Haraka, Save, Seasamum, Sfflower, Linseed

Undried Cobs -- Jowar, Bjara, Maize, Ragi, Navane

Undried Grains - Paddy/Wheat

Undried Pods - Ground Nut, Soyabean, Tur

Flowers - Sunflowers

Capsules - Castor

Gren Laeves - Tobacco

Note II Nature of Produce to be weighed after Driage

1 Dried and Cleaned grains to be weighed In repect of all crops execept Groundnut, Castor,Tobaco

2. For Groundnut crops dried pods/Kernals , for castor dried seeds, and for tobcco cured leaves are to be weighed


FORM No. CES -14

Crop Estimation Surveys - Details of Driage Experiments

Number of Experiments Produce taken for Driage

DISTRICT Agency Sesaon Year

Agency

Designation of

Primary

Workers Crop Alloted Conducted

Absence of

Primary

Workers on

leave etc

Prio

Harvest

Non Availabily

of Crop

Negligence

on the part

of Primary

Workers

Other

Seasons Total Remarks

1 2 3 4 5 6 7 Remarks 9 10 11 12

Number of Experiments Experiments not Conducted due to


FORM No. CES -15

Crop Estimation Surveys - Details of SupervisionCheck Register

260

261

262

263

264

12. CROP INSURANCE SCHEME (CIS)

Introduction:

Agriculture production and farm income in India are frequently damaged/ devasted by

natural disasters such as droughts, floods, cyclones, storms, landslides and earthquakes.

Susceptibility of this sector to these disasters is compounded by the outbreak of epidemics

and man-made disasters such as fire, sale of spurious seeds, fertilizers and pesticides, price

crashes etc. All these events severely affect farmers through loss in production on farm

income, and they are beyond their control. With the growing commercialization of agriculture,

the magnitude of loss due to unfavorable eventualities is increasing.

The question is how to protect farmers by minimizing such losses. For a section of

farming community, the Minimum Support Prices (MSP) for certain crops provide a measure

of income stability. But for most of the crops and in most of the states MSP is not

implemented. In recent times, mechanisms like contract farming and future’s trading have

been established which are expected to provide some insurance against price fluctuations

directly or indirectly.

But, agricultural insurance is considered an important mechanism to effectively

address the risk to output and income resulting from various natural and manmade events.

Agricultural Insurance is a means of protecting the agriculturist against financial losses due

to uncertainties that may arise from named or all unforeseen perils beyond their control

(AIC, 2008). Unfortunately, agricultural insurance in the country has not made much

headway even though the need to protect Indian farmers from agriculture variability has

been a continuing concern of agriculture policy.

According to the National Agriculture Policy 2000, “Despite technological and

economic advancements, the condition of farmers continues to be unstable due to natural

calamities and price fluctuations”. In some extreme cases, these unfavorable events become

one of the factors leading to farmers suicides which are now assuming serious proportions.

Objective:

Agricultural insurance is one method by which farmers can stabilize their farm

income and investment to a minimum extent and guard against disastrous effect of losses

due to natural hazards or low market prices. Crop insurance not only stabilizes the farm

income but also helps the farmers initiate production activity after a bad agricultural year. It

cushions the shock of crop losses by providing farmers with a minimum amount of

protection. It spreads the crop losses over space and time and helps farmers make more

investments in agriculture. It forms an important component of safety-net programmes.

However, one need to keep in mind that crop insurance should be part of overall risk

management strategy. Insurance comes towards the end of risk management process.

Insurance is redistribution of cost of losses of few among many, and cannot prevent

economic loss.

265

There are two major categories of agricultural insurance: single and multi-peril

coverage. Single peril coverage offers protection from single hazard while multiple-peril

provides protection from several hazards. In India, multi-peril crop insurance programme is

being implemented, considering the overwhelming impact of nature on agricultural output

and its disastrous consequences on the society, in general, and farmers, in particular.

Background of Insurance Scheme:

From 1972-73 to 1978-79, crop insurance schemes for crops such as cotton,

groundnut, potato etc, were implemented in selected places on “individual approach” basis.

During the period from 1979 to 1984-85, a pilot crop insurance scheme was implemented for

Food crops & Oilseeds on “Area approach” basis. Based on the experience of the pilot

scheme a Comprehensive Crop Insurance Scheme (CCIS) was implemented from kharif

1985 till kharif 1999. The present crop insurance scheme is National Agricultural Insurance

Scheme (NAIS) and Modified National Agricultural Insurance Scheme (MNAIS).

Evolution of Crop Insurance Program:

• First ever scheme on “Individual” approach basis (1972-78)

• Pilot Crop Insurance Scheme –PCIS (1979-1984)

• Comprehensive Crop Insurance Scheme –CCIS (1985-1999)

• Experimental Crop Insurance Scheme –ECIS (Rabi 1997-98)

• National Agriculture Insurance Scheme – NAIS (1999……)

• Farm Income Insurance Scheme – FIIS (Rabi 2003-04 season &Kharif 2004

season)

• Rainfall based insurance (Kharif 2004...)

• Weather based insurance products (Rabi 2005….)

• Satellite Imagery based insurance products (Rabi 2005….)

Progress and Performance of Agricultural Insurance:

The question of introducing an agriculture insurance scheme was examined soon

after the Independence in 1947. Following an assurance given in this regard by the then

Ministry of Food and Agriculture (MOFA) in the Central Legislature to introduce crop and

cattle insurance, a special study was commissioned during 1947-48 to consider whether

insurance should follow an “Individual approach “or a “Homogenous area approach”. The

study favoured “homogenous area approach” even as various agro-climatically homogenous

areas are treated as a single unit and the individual farmers in such cases pay the same rate

of premium and receive the same benefits, irrespective of their individual fortunes. In 1965,

the Government introduced a Crop Insurance Bill and circulated a model scheme of crop

insurance on a compulsory basis to State governments for their views. The bill provided for

the Central government to frame a reinsurance scheme to cover indemnity obligations of the

266

States. However, none of the States favoured the scheme because of the financial

obligations involved in it. On receiving the reactions of the State governments, the subject

was referred to an Expert Committee headed by the then Chairman, Agricultural Price

Commission, in July, 1970 for full examination of the economic, administrative, financial and

actuarial implications of the subject.

Crop Insurance Approaches:

It is important to mention in the beginning that crop insurance is based on either Area

approach or Individual approach. Area approach is based on “defined areas” which could be

a district, a taluk, a block/a mandal or any other smaller contiguous area. The indemnity limit

which originally was 80 per cent, which was changed to 60 per cent, 80 per cent and 90 per

cent corresponding to high, medium & low risks areas.

The actual average yield / hectare for the defined area are determined on the basis

of Crop Cutting Experiments (CCEs). These CCEs are the same conducted as part of

General Crop Estimation Survey (GCES) in various states. If the actual yield in CCEs of an

insured crop for the defined area falls short of the specified guaranteed yield or threshold

yield, all the insured farmers growing that crop in the area are entitled for claims.

The claims are calculated using the formula:

[(Guaranteed Yield - Actual Yield) / (Guaranteed yield)] * Sum Insured of the Farmer

The claims are paid to the credit institutions in the case of loanee farmers and to the

individuals who insured their crops in the other cases. The credit institution would adjust the

amount against the crop loan and pay the residual amount, if any, to the farmer. Area yield

insurance is practically an all-risk insurance. This is very important for developing countries

with a large number of small farms.

However, there are delays in compensation payments. In the case of individual

approach, assessment of loss is made separately for each insured farmer. It could be for

each plot or for the farm as a whole (consisting of more than one plot at different locations).

Individual farm-based insurance is suitable for high-value crops grown under standard

practices. Liability is limited to cost of cultivation. This type of insurance provides for

accurate and timely compensation. However, it involves high administrative costs. Weather

index insurance has similar advantages to those of area yield insurance.

This programme provides timely compensation made on the basis of weather index,

which is usually accurate. All communities whose incomes are dependent on the weather

can buy this insurance. A basic disadvantage could arise due to changing weather patterns

and poor density of weather stations. Weather insurance helps ill-equipped economies deal

with adverse weather conditions (65% of Indian agriculture is dependent on natural factors,

especially rainfall. Drought is another major problem that farmers face). It is a solution to

financial problems brought on by adverse weather conditions.

267

This insurance covers a wide section of people and a variety of crops; its operational

costs are low; is characterized by transparent and objective calculation of weather index;

and quick settlement of claims.

Weather Based Crop Insurance / Rainfall Insurance:

During the year 2003-04 the private sector came out with some insurance products in

agriculture based on weather parameters. The insurance losses due to vagaries of weather,

i.e. excess or deficit rainfall, aberrations in sunshine, temperature and humidity, etc. could be

covered on the basis of weather index. If the actual index of a specific weather event is less

than the threshold, the claim becomes payable as a percentage of deviation of actual index.

One such product, namely Rainfall Insurance was developed by ICICI-Lombard General

Insurance Company. This move was followed by IFFCO-Tokio General Insurance Company

and by public sector Agricultural Insurance Company of India (AIC).

Under the scheme, coverage for deviation in the rainfall index is extended and

compensation for economic losses due to less or more than normal rainfall paid.

ICICI Lombard, World Bank and the Social Initiatives Group (SIG) of ICICI Bank collaborated

in the design and pilot testing of India’s first Index based Weather Insurance product

in 2003-04. The pilot test covered 200 groundnut and castor farmers in the rain-fed district of

Mahaboob nagar, Andhra Pradesh. The policy was linked to crop loans given to the farmers

by BASIX Group, an NGO, and sold through its Krishna Bhima Samruddhi Area Bank. The

weather insurance has also been experimented with; 50 soya farmers in Madhya Pradesh

through Pradan, an NGO, 600 acres of paddy crop in Aligarh through ICICI Bank’s

agribusiness group along with the crop loans, and on oranges in Jhalawar district of

Rajasthan. Similarly, IFFCO-Tokio General Insurance (ITGI) also piloted rainfall insurance

under the name- “Baarish Bima” during 2004-05 in Andhra Pradesh, Karnataka and Gujarat.

Agricultural Insurance Company of India (AIC) introduced rainfall insurance (Varsha Bima)

during 2004 South-West Monsoon period. Varsha Bima provided for five different options

suiting varied requirements of farming community.

They are :

(1) Seasonal rainfall insurance based on aggregate rainfall from June to September,

(2) Sowing failure insurance based on rainfall between 15th June and 15th August,

(3) Rainfall distribution insurance with the weight assigned to different weeks

between June and September,

(4) Agronomic index constructed based on water requirement of crops at different

pheno-phases and

(5) Catastrophic option, covering extremely adverse deviations of 50 per cent and

above in rainfall during the season.

268

Varsha Bima was piloted in 20 rain gauge areas spread over Andhra Pradesh,

Karnataka, Rajasthan and Uttar Pradesh in 2004-05.

Based on the experience of the pilot project, the scheme was fine-tuned and

implemented as “Varsha Bima -2005” in about 130 districts across Andhra Pradesh,

Chattisgarh, Gujarat, Karnataka, Mahrashtra, Madhya Pradesh, Orissa, Tamil Nadu,

Uttarakhand and Uttar Pradesh during Kharif 2005. On an average, 2 or 3 blocks /mandals /

tehsils were covered under each India Meteorological Department (IMD) rain gauge stations.

The scheme covered the major crops, provided at least two coverage options namely,

Seasonal Rainfall Insurance or Rainfall Distribution Index and Sowing Failure Insurance.

Varsha Bima-2005 covered 1.25 lakh farmers with a premium income of

Rs.3.17 crore against a sum insured of Rs.55.86 crore. Claims amounting to Rs.19.96 crore

were paid for the season. Further, during kharif 2006, the scheme was implemented as

Varsha Bima-2006 in and around 150 districts/ rain gauge station areas covering 16 states

across the country. The Weather Based Crop Insurance Scheme (WBCIS) of AIC was

implemented in the selected areas of Karnataka on a pilot basis. WBCIS is a unique weather

based insurance product designed to provide insurance protection against losses in crop

yield resulting from adverse weather incidences. It provides payout against adverse rainfall

incidence (both deficit and excess) during kharif and adverse incidence in weather

parameters like frost, heat, relative humidity, un-seasonal rainfall etc., during Rabi. It

operates on the concept of area approach i.e., for the purpose of compensation, a reference

unit area shall be linked to a reference weather station on the basis of which weather data

and claims would be processed. This scheme is available to both loanees (compulsory) and

non-loanees (voluntary).

The NAIS is not available for the locations and crops selected for WBCIS pilot. It has

the advantage of settling the claims with the shortest possible time. The AIC has

implemented the pilot WBCIS in Karnataka during kharif 2007 season, covering eight

rain-fed crops, insuring crop extending over 50,000 ha for a sum insured of Rs.50 crore.

WBCIS was implemented in 2007-08 on a larger scale in selected states of Bihar,

Chattisgarh, Haryana, Madhya Pradesh, Punjab, Rajasthan and Uttar Pradesh for rabi

2007-08 season and was continued even in 2008-09 also as a pilot WBCIS (Union Budget

2008-09, GOI). Together these above mentioned companies have been able to sell weather

insurance policies to about 5.39 lakh farmers across India from their inception in 2003-04 to

date.

Insurance:

Insurance is a financial arrangement whereby losses suffered by a few are met from

the funds accumulated through small contributions made by many who are exposed to

similar risks.

269

Crop Insurance:

Crop Insurance is an insurance arrangement aiming at mitigating the financial losses

suffered by the farmers due to damage and destruction of their crops as a result of various

production risks.

Objectives of National Agricultural Insurance Schem e (NAIS):

• To provide insurance coverage to all crops and financial support to all farmers in

the event of failure of any notified crop as a result of natural calamities, pests &

diseases.

• To encourage farmers to adopt progressive farming practices, high value in-puts

and higher technology in Agriculture.

• To help stabilize farm incomes, particularly in disaster years.

Risks covered under the scheme:

The scheme provides comprehensive risk insurance for yield losses due to

• Natural fire and Lightning, Storm, Hailstorm, Cyclone, Typhoon, Tempest,

Hurricane, Tornado Flood, Inundation and Landslide.

• Drought, Dry spells.

• Pests / Diseases etc.

Crops covered under the scheme:

• Food crops (Cereals, Millets & Pulses): Paddy, Wheat, Jowar, Bajra, Maize, Ragi,

Greengram, Blackgram, Redgram, Horsegram.

• Oilseeds: Groundnut, Sunflower, Soya bean, Safflower, Castor, Sesamum.

• Annual Commercial / Annual Horticultural Crops: Sugarcane, Cotton, Potato,

Onion, Ginger, Turmeric, Banana, Pineapple, Jute, Tapioca, Chillies, Cumin,

Coriander, etc.

The crops are selected for insurance if the past yield data for 10 years are available

and the State Government agrees to conduct requisite number of Crop Cutting Experiments

(CCEs) during the proposed season.

Eligibility:

All farmers growing insurable crops and availing Seasonal Agricultural Operations

(SAO) loans from Banks / PACS are compulsorily covered under the scheme by the

Banks/PACS, whereas the non-borrowing farmers growing insurable crops can also avail the

benefit of the scheme by submitting prescribed proposal forms at the nearest Banks/PACS.

270

Administration of the scheme:

The scheme is being implemented by Agriculture Insurance Company of India

Limited (AICL) on behalf of the Ministry of Agriculture through its Regional Offices located at

17 State capitals.

Unit of Insurance:

The scheme operates on the basis of Area Approach i.e. defined areas for each

notified crop for widespread calamities and individual assessment is done on experimental

basis of localised calamities, such as hailstorm, landslide, cyclone and flood in certain

pre-notified areas. The size of unit area varies from State to State and crop to crop.

Presently, the defined area is Block /Mandal/ Taluka /Patwari Halka /Nyayapanchayat/Gram

Panchayat/Village, etc.

Sum Insured under NAIS:

a) For loanee farmers:

Compulsory coverage: The amount of crop loan availed for the notified crop is the

minimum amount of sum insured covered on compulsory basis.

Optional Coverage : If the loanee-farmer so wishes he may insure his crop for a

higher sum insured i.e, upto the value of threshold yield (i.e., guaranteed yield) which is

called normal coverage and may even go for additional coverage upto 150% value of

average yield in the notified area. However, for additional coverage, the farmer has to pay

premium at actuarial rate as notified by the State Government.

b) For non-loanee farmers: Coverage at normal rates of premium is available upto the

value of threshold yield. Additional coverage upto 150% of the value of actual yield can be

obtained by payment of premium at actuarial rates.

The essential requirements of a farmer to become el igible for claim under the scheme:

• The farmer should have availed a crop loan for the insured crop. In case of

non-loanee farmer, he should have submitted a proposal for insurance with

requisite premium.

• The proposal/crop insurance declaration with accurate and complete particulars

should have been sent to AID by the bank along with requisite premium.

• The State Government conducts requisite number of crop cutting experiments for

the insured crop in the insurance unit and submits the yield data to AIC within the

prescribed date.

• The yield data so submitted by the State Government shows short fall as

compared to the guaranteed yield.

271

Advantage of NAIS:

Be a critical instrument of development in the field of crop production, providing

financial support to the farmers in the event of crop failure.

• Encourage farmers to adopt progressive farming practices and higher technology

in Agriculture.

• Help in maintaining flow of agricultural credit.

• Provides significant benefits not merely to the insured farmers, but to the entire

community directly and indirectly through spillover and multiplier effects in terms

of maintaining production and employment.

• Streamline loss assessment procedures and help in building up huge and

accurate statistical base for crop production.

Modified National Agricultural Scheme (MNAIS):

MNAIS has been implemented on pilot basis during Rabi 2010-11 at Gram

Panchayat (GP) level.

Features:

• Unit area of insurance reduced to villages/village panchayat level for major crops.

• Threshold yield based on average yield of the preceding 7years excluding upto

calamity year declared by concerned State/UT government/authority.

• Uniform seasonality disciplines both for loanee & non-loanee farmers.

• It is an improvement over NAIS and based on actuarial premium rates. This

scheme is expected to generate more benefits to farmers through coverage of

prevented sowing/planting risk and post-harvest losses, increases in minimum

indemnity level from 60 to 70% more precise calculation of threshold yield.

Payment of upfront premium subsidy by State and Central Governments will

facilitate quick settlement of claims.

Coverage of MNAIS:

• Covers pre-sowing and post-harvest losses in addition to other features of NAIS.

• Covers wide spread calamities, localised risks and weather parameters.

Risk in Agricultural Production:

Agriculture in India is subject to variety of risks arising from rainfall aberrations,

temperature fluctuations, hailstorms, cyclones, floods, and climate changes. These risks are

exacerbated by price fluctuation, weak rural infrastructure, imperfect markets and lack of

financial services including limited span and design of risk mitigation instruments such as

credit and insurance. These factors not only endanger the farmer’s livelihood and incomes

272

but also undermine the viability of the agriculture sector and its potential to become a part of

the solution to the problem of endemic poverty of the farmers and agricultural labour.

Management of risk in agriculture is one of the major concerns of the decision

makers and policy planners, as risk in farm output is considered as the primary cause for low

level of farm level investments and agrarian distress. Both, in turn, have implications for

output growth. In order to develop mechanisms and strategies to mitigate risk in agriculture it

is imperative to understand the sources and magnitude of fluctuations involved in agricultural

output. The present section is an effort in this direction. The section examines extent of risk

by estimating year to year fluctuations in national production of major crops and also analyse

whether risk in the post reforms period declined or increased. The analysis is extended to

district level as there are vast variations in agro climatic conditions across states and

districts.

The detailed notification on MNIS is given in Annexure.

273

ANNEXURE (CIS)

(MNIS Notification)

1. OBJECTIVES:

The objectives of the Scheme are as under: -

i) To provide insurance coverage and financial support to the farmers in theevent of

prevented sowing & failure of any of the notified crop as a result ofnatural calamities, pests &

diseases.

ii) To encourage the farmers to adopt progressive farming practices, high valuein-

puts and better technology in Agriculture.

iii) To help stabilize farm incomes, particularly in disaster years.

2. SALIENT FEATURES OF THE SCHEME:

In addition to Agriculture Insurance Company of India Ltd., Private sector insurance

companies with adequate infrastructure and experience will beallowed on selective basis to

implement the scheme by the implementingStates from out of the companies short listed by

the Department of Agriculture& Cooperation.

3. CROPS COVERED:

i. Food crops (Cereals, Millets & Pulses)

ii. Oilseeds

iii. Annual Commercial / Horticultural crops

(a) Loanee farmers would be covered under compulsory component.

(b) Non-loanee farmers would be covered under voluntary component.

(c) The Crops are covered subject to availability of i) the past yield data basedon

Crop Cutting Experiments (CCEs) for adequate number of years, and ii) requisite number of

CCEs are conducted for estimating the yield during theproposed season.

Ten years historical data is adequate for setting premium rates, fixing indemnitylimit

and threshold yield etc. Wherever such historical yield data at insurance unitis not available

for some years, the data of nearest neighboring unit / weightedaverage of contiguous units /

next higher unit can be adopted, subject toappropriate loading in the premium rate, if

necessary.

4. STATES AND AREAS TO BE COVERED:

Modified NAIS based on major improvements suggested by the Joint Group is tobe

implemented in 50 districts. These districts may be identified in consultationwith the

States/UTs.Modified National Agricultural Insurance Scheme (MNAIS)

274

5. FARMERS TO BE COVERED:

All farmers* including sharecroppers, tenant farmers growing the notified crops inthe

notified areas are eligible for coverage.

* includes

I. Individual owner-cultivator/ tenant farmers/ share croppers.

II. Farmers enrolled under contract farming, directly or throughpromoters / organizers

III. Groups of farmers / societies serviced by Fertiliser Companies, Pesticide firms,

Crop Growers associations, Self Help Groups (SHGs), Non-Governmental Organisations

(NGOs), and Others

The Scheme will extend coverage Component-wise:-

Compulsory Component :

All farmers availing Seasonal Agricultural Operations (SAO) loans from Financial

Institutions (i.e. loanee farmers) would be covered compulsorily.

Voluntary Component:

The Scheme would be optional for all non-loanee farmers.

6. RISKS COVERED & EXCLUSIONS:

(A) STANDING CROP (Sowing to Harvesting)

Comprehensive risk insurance is provided to cover yield losses due to

non-preventablerisks, viz.:

(i) Natural Fire and Lightning

(ii) Storm, Hailstorm, Cyclone, Typhoon, Tempest, Hurricane, Tornado etc.

(iii) Flood, Inundation and Landslide

(iv) Drought, Dry spells

(v) Pests/ Diseases etc.

(B) PREVENTED SOWING / PLANTING RISK:

In case farmer of an area is prevented from sowing / planting due to deficitrainfall or

adverse seasonal conditions, such insured farmer who failed to sow /plant (but otherwise

has every intention to sow / plant and incurred expenditurefor the purpose), shall be eligible

for indemnity. The indemnity payable wouldbe a maximum of 25% of the sum-insured. The

scale of payment for differentcrops will be worked out by implementing agency in

consultation with experts.

(C) POST HARVEST LOSSES:

Modified National Agricultural Insurance Scheme (MN AIS) coverage is available

only for those crops, which are allowed to dry in the fieldafter harvesting against specified

275

perils of cyclone in coastal areas, resulting indamage to harvested crop. Further, the

coverage is available only upto amaximum period of two weeks from harvesting.

Assessment of damage will beon individual basis.

GENERAL EXCLUSIONS:

Losses arising out of war & nuclear risks, malicious damage and other preventable

risks shall be excluded.

7. SUM INSURED / LIMIT OF COVERAGE:

In case of Loanee farmers under Compulsory Component, the Sum Insured would be

at least equal to the amount of crop loan sanctioned/advanced, which may extend up to the

value of the threshold yield of the insured crop at the option of insured farmer. Where value

of the threshold yield is lower than the loan amount per unit area, the higher of the two is the

Sum Insured. Multiplying the Notional Threshold Yield (district/region/state level) with the

Minimum Support Price (MSP) of the current year arrives at the value of Threshold Yield.

Wherever Current year’s MSP is not available, MSP of previous year shall be adopted. The

crops for which, MSP is not declared, farm gate price established by themarketing

department / board shall be adopted.

Further, in case of Loanee farmers, the Insurance Charges payable by the farmers

shall be financed by loan disbursing office of the Bank, and will be treated as additional

component to the Scale of Finance for the purpose of obtaining loan.For farmers covered on

voluntary basis the sum-insured is upto the value of Threshold yield of the insured crop. If

the farmer so desire he may be provided with higher level of risk coverage. Sum insured up

to 100% of threshold/average yield of notified area with normal premium subsidy but sum

insured above 100%and up to 150% of the value of average yield without premium subsidy.

8. PREMIUM RATES & SUBSIDY:

Premium rates are to be worked out on actuarial basis. However, the premiumpaid

by the farmer is subsidized on the following lines:

Sl. No. Premium slab Subsidy to Farmers

1 Upto 2% Nil

2 >2 -5% 40% subject to minimum net premium of 2%

3 >5 – 10% 50% subject to minimum net premium of 3%

4 >10 –15% 60% subject to minimum net premium of 5%

5 >15% 75% subject to minimum net premium of 6%.

Before the start of each crop season, insurance companies shall work out actuarial

premium as well as net premium rates (premium rates actually payable by farmers after

premium subsidy) for each notified crop through standard actuarial methodology approved

276

by the Govt. of India. Premium structure would be worked out with a discount provision on

the premium in respect of an unit area where all farmers have adopted better water

conservation and sustainable farming practices for better risk mitigation.

9. SHARING OF RISK:

All claims will be borne by the Insurance Companies.

10. SCHEME APPROACH AND UNIT OF INSURANCE:

(A) WIDESPREAD CALAMITIES

The Scheme would operate on the basis of ‘Area Approach’ i.e., Defined Areas for

each notified crop for widespread calamities. The Defined Area (i.e., unit area of insurance)

is village/Village Panchayat level by whatsoever name these areas may be called for major

crops and for other crops it may be a unit of size in between Village Panchayat to Taluka to

be decided by the State/UT Govt. The scheme on pilot basis at reduced insurance unit area

would be implemented in those villages/village panchayats where appropriate yield data are

available atleast for last five years at village panchayat or higher level or in neighboring

village in different States.

(B) LOCALIZED RISKS

In case of localized risks, viz. hailstorm and landslide, the claims will be assessedon

individual basis. For other calamities the assessment will be on the basis of‘area approach’.

11. SEASONALITY DISCIPLINE:

(a) The broad seasonality discipline for Loanee and Non-Loanee farmers can be as

under:

Activity Kharif Rabi

Loaning period (loan sanctioned) for loanee

farmers covered on Compulsory basis.

April to June/ July October to

December

Cut-off date for receipt of Proposals of farmers

covered on Voluntary basis.

15th June / 15th

July

31st December

Cut-off date for receipt of Declarations of Loanee

farmers covered compulsorily on loanee farmers

31st July 31st January

Cut-off date for receipt ofDeclarations of farmers

covered onVoluntary basis from Banks

Within a month

from final harvest

Within a month

from final harvest

In case of Kharif crops, the cut off dates are fixed in such a way that these dates

correspond to historical onset / coverage by the South-West Monsoon. The tentative

schedule is as follows:-

277

Historical onset and coverage by South-West (SW) Monsoon and proposed cut-off

dates for Kharif:

Sl. No.

States SW Monsoon coverage by

Proposed cut-off dates

1. Kerala & Tamil Nadu 1st Week of June 15th June

2. Andhra Pradesh, Karnataka, Orissa, West Bengal,

North-Eastern States

15th June 30th June

3. Maharashtra, Chhattisgarh, Jharkhand, Bihar 3rd week of June 30th June

4. Gujarat, Madhya Pradesh, Uttar Pradesh,

Uttarakhand, Himachal Pradesh

4th week of June 30th June

5. Rajasthan, Punjab, Haryana, Jammu & Kashmir 1st week of July 15th July

Further, in case of three crop / season pattern, a modified discipline keeping in

mindthe overall seasonality discipline prescribed above, will be adopted by the State Level

Co-ordination Committee on Crop Insurance (SLCCCI).

Farmers covered on voluntary basis can buy insurance before actual sowing /

planting based on advance crop planning for the season. For any reason, if farmer changes

the crop planned earlier at the time of buying insurance, such changes should be intimated

to financial institution at which insurance proposal was submitted, within 30 days from the

cut-off date for buying insurance, accompanied by sowing certificate issued by concerned

official of the State at village level. Where required, the farmer will pay the difference in

premium or implementing agency will refund difference in premium, as per the premium

structure.

12. ESTIMATION OF CROP YIELD:

The State govt./UT will plan and conduct the requisite number of Crop Cutting

Experiments (CCEs) for all notified crops in the notified insurance units in orderto assess the

crop yield. The State govt./ UT will maintain single series of Crop Cutting Experiments

(CCEs) and resultant yield estimates, both for Crop Production estimates and Crop

Insurance. Planning and supervision for all CCEs will be of the same order as that of

General Crop Estimation Surveys (GCES).CCEs shall be undertaken per unit area /per crop,

on a sliding scale, as indicated below:

Sl. No.

Insurance Unit Minimum sample

size of CCEs

1. District 24

2. Taluka / Tehsil / Block 16

3. Mandal / Phirka / Revenue Circle / Hobli or any other equivalent

unit

10

4. Village Panchayat 08

278

However, a Technical Advisory Committee (TAC) comprising representatives from

Indian Agricultural Statistical Research Institute (IASRI), National Sample Survey Office

(NSSO), Ministry of Agriculture (GoI) and implementing agency shall be constituted to

decide the sample size of CCEs and all other technical matters. Inputs from satellite imagery

could also be utilized in deciding sample size.

In instances where required number of CCEs could not be conducted due to

non-availability of adequate cropped area, the yield data for such units can be generated by

Insurer by proxy indicators, such as clubbing with neighbouring /contagious units, adopting

yield of next higher unit, yield data generated by correction / correlation factor with next

higher unit, etc.

Alternative yield assessment techniques, such as satellite imagery,

agro-meteorological and bio-metric and a combination of such techniques, etc. can be

explored and adopted after establishing reasonable level of standardization.

13. LEVELS OF INDEMNITY & THRESHOLD YIELD:

Three levels of Indemnity, viz., 90%, 80% & 70% corresponding to Low, Medium &

High Risks areas respectively shall be available for all crops. The criteria fordeciding low and

high risk will be determined by implementing agency.

The Threshold yield (TY) or Guaranteed yield for a crop in a Insurance Unit shallbe

the average yield of the preceding 7 years excluding the year(s) in which anatural calamity

such as drought, floods etc. may have been declared by the

14. NATURE OF COVERAGE AND INDEMNITY:

(A) WIDE SPREAD CALAMITIES:

If the ‘Actual Yield’ (AY) per hectare of the insured crop for the defined area [on the

basis of requisite number of Crop Cutting Experiments (CCEs)] in the insured season, falls

short of the specified ‘Threshold Yield’ (TY), all the insured farmers growing that crop in the

defined area are deemed to have suffered shortfall in their yield. The Scheme seeks to

provide coverage against such contingency.

‘Indemnity ’ shall be calculated as per the following formula:

(Shortfall in Yield / Threshold yield) *Sum Insured for the farmer

Where, Shortfall = ‘Threshold Yield - Actual Yield’ for the Defined Area.

(i) ON ACCOUNT PAYMENT OF CLAIMS:

In case of adverse seasonal conditions during crop season, claim amount upto25

percent of likely claims would be released in advance subject to adjustment against the

claims assessed on yield basis. The on account payment will be considered only if the

expected yield during the season is less than 50 percent of normal yield. The criteria for

deciding on-account payment of claims shall be based on proxy indicators such as weather,

279

agro-meteorological data / satellite imagery/acreage damaged or such other indicators to be

decided by the Government, and will be implemented in States and for crops for which

suchproxy indicators can be established.

(ii) PREVENTED SOWING / PLANTING CLAIMS:

The extent of claims payable will be decided in respect of the insurance unit area on

the basis of rainfall position issued by the concerned Indian Meteorological Department

(IMD) for the area during the sowing season and acreage-sown particulars issued by the

State Government. Other authentic raingauge stations which the government shall install for

the purpose/ insurer/insurer nominated agencies can also be considered for the purpose of

measuring rainfall. The maximum claims payable will be 25 percent of the sum insured.

Having received indemnity based on prevented sowing / planting, the insurance cover is

automatically terminated.

(iii) POST HARVEST LOSSES:

Coverage is available only for those crops, which are allowed to dry in the field after

harvesting against specified perils of cyclone in coastal areas, resulting in damage to

harvested crop lying in the field in ‘cut & spread’ condition. In other words, the crop, which

after harvest is left in the field for drying, is only covered against the peril specified above.

The state/ UT concerned will bring out the list of such crops in consultation with

Implementing Agency. The harvested crop bundled and heaped at a place before threshing

is beyond coverage under postharvest losses. Further, the coverage is available only upto a

maximum period of two weeks (14 days) from harvesting. Assessment of damage will be on

individual basis.

(B) LOCALIZED RISKS:

The losses would be assessed on individual basis in case of loss / damageresulting

from occurrence of identified localized risks viz., hailstorm andlandslide. The cost of inputs

incurred until the time of occurrence of peril, and the expected loss in final yield due to the

peril, would form the basis for loss assessment.

In case of localized risks, implementing agency may utilise the services of concerned

departments of the State government, such as Agriculture, Revenue etc.

15. COMMISSION & BANK SERVICE CHARGES:

Rural agents and others who are engaged for procuring and servicing business

offarmers may be paid appropriate commission as decided by implementing agency. The

servicing banks are allowed at present, 2.5% of gross premium under NAIS as service

charges.

16. REINSURANCE COVER:

Efforts will be made by the implementing agency to obtain appropriate reinsurance

cover for the Scheme in the national / international reinsurance market. In the event of failure

280

to procure such cover at competitive rates, and incase premium to claims ratio exceeds 1:5,

at national level, the Government would provide protection to insurance company. An

atastrophic Fund at the national level would be set up for this purpose, which would be

contributed by the Centre and the State Governments on 50:50 basis. The overall loss

exceeding 500% would be met out of this fund.

17. REVIEW OF THE SCHEME:

The Scheme will be reviewed after two years and necessary modifications will be

incorporated based on the review.

18. IMPORTANT CONDITIONS/CLAUSES APPLICABLE FOR COV ERAGE OFRISK:

(a) The banks will display the list of all insured farmers at the village panchayat office.

Further, the banks will also display the list of benefited farmers together with claim amount

soon after the claims are received from implementing agency.

(b) Implementing agency possesses the discretion to accept or reject any risk

ofdefined area(s) for any crop(s) considering the prevailing agricultural situation. Mere

sanctioning / disbursement of crop loans and submission of proposals/ declarations and

remittance of premium by the farmer / bank without explicit intent to raise the crop, does not

constitute acceptance of risk by implementing agency.

(c) In the event of near total crop failure during early or mid season affecting the

entire defined area, implementing agency shall adopt a graded scale indemnity settlement

restricting the indemnity to the proportion of input cost upto that stage. The graded scale

shall be worked out by implementing agency.

(d) Implementing agency, if deemed necessary, shall investigate the coverage on its

own or by an agency appointed for the purpose and shall for this purpose utilize satellite

imagery data for identification of anomalies in crop insurance coverage vis-à-vis actual field

conditions. Upon identification of adverse phenomenon based on such investigations,

implementing agency may resort to scaling down of sum insured.

19. BENEFITS EXPECTED FROM SCHEME:

The Scheme is expected to:

• Be a critical instrument of development in the field of crop production, providing financial

support to the farmers in the event of crop failure.

• Encourage farmers to adopt progressive farming practices and higher technology in

Agriculture.

• Help in maintaining flow of agricultural credit.

• Provide significant benefits not merely to the insured farmers, but to the entire community

directly and indirectly through spillover and multiplier effects in terms of maintaining

281

production & employment, generation of market fees, taxes etc. and net accretion to

economic growth.

• Streamline loss assessment and enable expeditious settlement of claims.

20. MONITORING AND EVALUATION:

The proposed scheme shall be monitored closely at the levels of District, State &

Nation by the State Govt., the Implementing Agencies & GOI. As the proposed Modified

NAIS is to be implemented on the pilot basis in 50 districts, independent evaluation of the

scheme shall be carried out after two years of implementation. Evaluation has been

considered as an essential aspect of the formulation and execution of this scheme which is

essential for the assessment of the progress & impact of programmes and for analysis of the

reasons for successor failure and indication of the direction of improvement in programmes’

operation. Keeping this in view, an independent evaluation of Pilot Modified NAIS may be

carried out through study for assessing the impact and success of the scheme with respect

to the set objectives and based on the findings of the evaluation study, possibility to extend

the scheme to implement in all the districts in place of NAIS during 12th Five Year Plan

would be examined.

Role of DES in Crop Insurance Scheme:

As the DES is SASA for agriculture Statistics. DES has to plan the crop experiments

for notified hoblis and Grama Panchayaths. It has to impart training to primary workers,

supervisors in conduct of crop cutting experiments through DSO. Form flow for obtaining

results of CES in form-1, form-2 from the primary workers through DSO. DES has to

communicate the yield results to concerned as per calendar of events prescribed by

Government of India.

Model Government Order and calendar of events for kharif, Rabi and summer

season is given here under.

282

PÀ£ÁðlPÀ ÀPÁðgÀzÀ £ÀqÀªÀ½UÀ¼ÀÄ

«µÀAiÀÄ: gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä ºÉÆÃ§½, UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÀÄvÀÄÛ É¼ÉUÀ¼À WÉÆÃµÀuÉ §UÉÎ – DzÉÃ±ÀUÀ¼ÀÄ.

ÀPÁðgÀzÀ DzÉÃ±ÀzÀ ÀASÉå: PÀÈE/43/PÀÈGE/2015, ÉAUÀ¼ÀÆgÀÄ, ¢£ÁAPÀ:-12-06-2015.

NzÀ¯ÁVzÉ: 1) PÉÃAzÀæ ¸ÀPÁðgÀzÀ ¥ÀvÀæ ¸ÀA.: 13011/04/2004-PÉærmï-II; ¢£ÁAPÀ: 20-3-2015.

2) PÀqÀvÀ ¸ÀASÉå: GPÀÈ¤(¨É«)/vÁA-1/1-¦/2015-16.

3) PÀÈ¶ DAiÀÄÄPÀÛgÀÀ ¥ÀvÀæzÀ ¸ÀASÉå: GPÀÈ¤( É«)/vÁA-1/1/2015-16; ¢£ÁAPÀ:11-6-2015.

¥Àæ¸ÁÛªÀ£É:

ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (1)gÀ ¥ÀvÀæzÀ°è PÉÃAzÀæ ¸ÀPÁðgÀªÀÅ÷ gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß 2015-16£ÉÃ ¸Á°£À°è ªÀÄÄAzÀÄªÀgÉ¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä DqÀ½vÁvÀäPÀ ªÀÄAdÆgÁwAiÀÄ£ÀÄß ¤ÃrgÀÄvÀÛzÉ.

ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (2) gÀ£ÀéAiÀÄ 2015-16£ÉÃ ¸Á°£À ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä ¤zsÀðj¸À ÁVzÉ. gÁdåzÀ J¯Áè f¯ÉèÉèUÀ¼À°è vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå É¼ÉUÀ¼À£ÀÄß UÁæªÀÄ ¥ÀAZÁ¬Äw ªÀÄlÖPÉÌ ºÁUÀÆ G½zÀ É¼ÉUÀ¼À£ÀÄß ºÉÆÃ§½ ªÀÄlÖzÀ°è C£ÀÄµÁ×£ÀUÉÆ½¸À ÉÃPÁVzÉ.

1. 2015£ÉÃ ¸Á°£À ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è gÁdåzÀ J¯Áè f ÉèÉèUÀ¼À°è 25 É¼ÉUÀ¼ÁzÀ sÀvÀÛ (¤ÃgÁªÀj), sÀvÀÛ (ªÀÄ¼É D²ævÀ), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), eÉÆÃ¼À (¤ÃgÁªÀj), eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), gÁV (¤ÃgÁªÀj), gÁV (ªÀÄ¼É D²ævÀ), ¸ÀeÉÓ (¤ÃgÁªÀj), ¸ÀeÉÓ (ªÀÄ¼É D²ævÀ), £ÀªÀuÉ (ªÀÄ¼É D²ævÀ), ¸ÁªÉ (ªÀÄ¼É D²ævÀ), GzÀÄÝ (ªÀÄ¼É D²ævÀ), vÉÆUÀj (¤ÃgÁªÀj), vÉÆUÀj (ªÀÄ¼ÉD²ævÀ), ºÉ ÀgÀÄ (ªÀÄ¼ÉD²ævÀ), ºÀÄgÀÄ½ (ªÀÄ¼É D²ævÀ), ¸ÉÆÃAiÀiÁCªÀgÉ (¤ÃgÁªÀj), ¸ÉÆÃAiÀiÁCªÀgÉ (ªÀÄ¼É D²ævÀ), ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj), ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼É D²ævÀ), J¼ÀÄî (ªÀÄ¼ÉD²ævÀ), ºÀgÀ¼ÀÄ (ªÀÄ¼É D²ævÀ), £É®UÀqÀ É (±ÉÃAUÁ) (¤ÃgÁªÀj) ªÀÄvÀÄÛ £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼É D²ævÀ) EªÀÅUÀ¼À£ÀÄß C¢ü¸ÀÆa¸ÀÄªÀÅzÀÄ.

2. ¸ÀÞ¼À ¤¢üðµÀÖ ¥ÀæPÀÈw «PÉÆÃ¥ÀUÀ¼À ¸ÀAzÀ sÀðzÀ°è £ÀµÀÖzÀ ¤zsÀðgÀuÉUÁV gÁdåzÀ J¯Áè f¯ÉèUÀ¼À£ÀÄß C¢ü¸ÀÆa¸ÀÄªÀÅzÀÄ.

3. 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è É¼É Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀjUÉ AiÉÆÃd£ÉAiÀÄr ¥Á¯ÉÆÎ¼Àî®Ä ªÀÄÄAavÀªÁV ©vÀÛ£ÉAiÀiÁUÀÄªÀ É¼ÉUÀ½UÉ PÉÆ£ÉAiÀÄ ¢£ÁAPÀªÀ£ÀÄß 31£ÉÃ dÄ¯ÉÊ 2015 JAzÀÄ ºÁUÀÆ vÀqÀªÁV ©vÀÛ£ÉAiÀiÁUÀÄªÀ É¼ÉUÀ½UÉ PÉÆ£ÉAiÀÄ ¢£ÁAPÀªÀ£ÀÄß 31£ÉÃ DUÀ¸ïÖ 2015 ºÁUÀÆ ¨É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀjUÉ J¯Áè É¼ÉUÀ½UÉ PÉÆ£ÉAiÀÄ ¢£ÁAPÀªÀ£ÀÄß 30£ÉÃ ¸É¥ÉÖA§gï 2015PÉÌ ¤UÀ¢ü¥Àr¸ÀÄªÀÅzÀÄ.

283

4. PÀÈ¶ E¯ÁSÉ¬ÄAzÀ C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ AiÀiÁªÀÅzÉÃ AiÉÆÃd£ÉAiÀÄ ¥sÀ Á£ÀÄ sÀ«UÀ¼À£ÀÄß ( É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ) ºÁUÀÆ ©ÃeÉÆÃvÁàzÀPÀ gÉÊvÀgÀ£ÀÄß PÀqÁØAiÀÄªÁV É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥Àr¸ÀÄªÀÅzÀÄ.

5. É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥ÀqÀÄªÀ ¥Àj²µÀÖ eÁw ªÀÄvÀÄÛ ¥Àj²µÀÖ ¥ÀAUÀqÀUÀ¼À J¯Áè gÉÊvÀjUÉ «ªÀiÁ PÀAw£À°è ±ÉÃ.90gÀµÀÄÖ jAiÀiÁ¬ÄwAiÀÄ£ÀÄß ¤ÃqÀ®Ä ºÁUÀÆ ¸ÀzÀj ªÉÆvÀÛªÀ£ÀÄß PÀÈ¶ E¯ÁSÉAiÀÄ°è C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ «±ÉÃµÀ WÀlPÀ / Vjd£À G¥ÀAiÉÆÃd£ÉAiÀÄr (SCP /TSP) ® sÀå«gÀÄªÀ C£ÀÄzsÁ£ÀzÀ°è sÀj¸ÀÄªÀÅzÀÄ.

ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (3) gÀ°è PÀÈ¶ ¤zÉðÃ±ÀPÀgÀÄ, ÉAUÀ¼ÀÆgÀÄ EªÀgÀÄ ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß ¸ÀPÁðgÀPÉÌ ¸À°è¹ ¸ÀÆPÀÛ DzÉÃ±ÀªÀ£ÀÄß ºÉÆgÀr¸ÀÄªÀAvÉ PÉÆÃjgÀÄvÁÛgÉ.

ªÉÄÃ°£À ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß ¥Àj²Ã°¹zÀ £ÀAvÀgÀ F PÉ¼ÀPÀAqÀAvÉ DzÉÃ±ÀªÀ£ÀÄß ¤ÃqÀ ÁVzÉ.

DzÉÃ±À

PÀ£ÁðlPÀ gÁdåzÀ°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄrAiÀÄ°è F PÉ¼ÀPÀAqÀ 25 É¼ÉUÀ¼À£ÀÄß 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«ÄUÉ ºÉÆÃ§½ ªÀÄvÀÄÛ UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÀÄlÖPÉÌ C¼ÀªÀr¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä F ªÀÄÆ®PÀ C¢ü¸ÀÆa¸À ÁVzÉ.

2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ C£ÀÄµÁ×£ÀPÁÌV DAiÀÄÝ É¼ÉUÀ¼ÀÄ, ºÉÆÃ§½UÀ¼ÀÄ ªÀÄvÀÄÛ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß PÉ¼ÀUÉ ¤ÃqÀ ÁVzÉ.

PÀæ ÀA

É¼ÉUÀ¼ÀÄ ºÉÆÃ§½ ªÀÄlÖzÀ «ªÀiÁ

WÀlPÀUÀ¼À ÀASÉå UÁæªÀÄ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À ÀASÉå

1 2 3 4

1 sÀvÀÛ (¤ÃgÁªÀj) 214 1122

2 sÀvÀÛ (ªÀÄ¼É D²ævÀ) 81 1034

3 ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À (¤ÃgÁªÀj) 181 646

4 ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À(ªÀÄ¼É D²ævÀ) 175 1325

5 eÉÆÃ¼À (¤ÃgÁªÀj) 106 -

6 eÉÆÃ¼À (ªÀÄ¼É D²ævÀ) 238 85

7 gÁV (¤ÃgÁªÀj) 137 -

8 gÁV (ªÀÄ¼É D²ævÀ) 195 961

9 ¸ÀeÉÓ (¤ÃgÁªÀj) 81 -

10 ¸ÀeÉÓ (ªÀÄ¼É D²ævÀ) 155 270

11 £ÀªÀuÉ (ªÀÄ¼É D²ævÀ) 74 -

12 ¸ÁªÉ (ªÀÄ¼É D²ævÀ) 32 -

284

PÀæ ÀA

É¼ÉUÀ¼ÀÄ ºÉÆÃ§½ ªÀÄlÖzÀ «ªÀiÁ

WÀlPÀUÀ¼À ÀASÉå UÁæªÀÄ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À ÀASÉå

13 GzÀÄÝ (ªÀÄ¼É D²ævÀ) 108 -

14 vÉÆUÀj (¤ÃgÁªÀj) 35 80

15 vÉÆUÀj (ªÀÄ¼É D²ævÀ) 256 803

16 ºÉ ÀgÀÄ (ªÀÄ¼É D²ævÀ) 236 248

17 ºÀÄgÀÄ½ (ªÀÄ¼É D²ævÀ) 261 -

18 ¸ÉÆÃAiÀiÁ CªÀgÉ (¤ÃgÁªÀj) 24 -

19 ¸ÉÆÃAiÀiÁCªÀgÉ (ªÀÄ¼É D²ævÀ) 53 272

20 J¼ÀÄî (ªÀÄ¼É D²ævÀ) 186 -

21 ºÀgÀ¼ÀÄ (ªÀÄ¼É D²ævÀ) 67 -

22 ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj) 169 -

23 ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼É D²ævÀ) 247 131

24 £É®UÀqÀ É(±ÉÃAUÁ)(¤ÃgÁªÀj) 116 1

25 £É®UÀqÀ É(±ÉÃAUÁ)(ªÀÄ¼É D²ævÀ) 279 414

MlÄÖ 3706 7392

ªÉÄÃ¯É £ÀªÀÄÆ¢¹zÀ É¼ÉªÁgÀÄ ºÉÆÃ§½UÀ¼À ¥ÀnÖAiÀÄ£ÀÄß C£ÀÄ§AzsÀ-1gÀ°è ºÁUÀÆ UÁæªÀÄ ¥ÀAZÁAiÀÄwªÁgÀÄ É¼ÉUÀ¼À ¥ÀnÖAiÀÄ£ÀÄß C£ÀÄ§AzsÀ - 2gÀ°è ¤ÃqÀ ÁVzÉ.

2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À É¼ÉUÀ½UÉ ¤UÀ¢¥Àr¸À¯ÁVgÀÄªÀ EAqÉ«Äßn ªÀÄlÖ, «ªÀiÁ ªÉÆvÀÛ ªÀÄvÀÄÛ «ªÀiÁ PÀAw£À «ªÀgÀªÀ£ÀÄß C£ÀÄ§AzsÀ - 3gÀ°è ¤ÃqÀ ÁVzÉ.

gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è ¸ÀÞ¼À ¤¢ðµÀÖ ¥ÀæPÀÈw «PÉÆÃ¥ÀUÀ¼ÁzÀ ¥ÀæªÁºÀ, D°ÃPÀ®Äè ªÀÄ¼É, sÀÆ PÀÄ¹vÀ ªÀÄvÀÄÛ ZÀAqÀªÀiÁgÀÄvÀÀ EªÀÅUÀ¼ÀÄ GAmÁzÀ ¸ÀAzÀ sÀðzÀ°è gÁdåzÀ J¯Áè f¯ÉèUÀ¼À£ÀÄß £ÀµÀÖzÀ ¤zsÀðgÀuÉUÁV C¼ÀªÀr¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä F ªÀÄÆ®PÀ ªÀÄAdÆgÁw ¤ÃqÀ¯ÁVzÉ.

C£ÀÄ§AzsÀ - 1gÀ°è ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è C¢ü¸ÀÆa¸À ÁzÀ É¼ÉUÀ½UÉ ªÉÄÃ¯É w½¹gÀÄªÀ ¥ÀæPÀÈw «PÉÆÃ¥À¢AzÀ GAmÁUÀÄªÀ £ÀµÀÖzÀ ¤zsÀðgÀuÉAiÀÄ£ÀÄß ªÉÊAiÀÄQÛPÀªÁV ¤zsÀðj¹ É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß EvÀåxÀð¥Àr¸ÀÄªÀÅzÀÄ.

EAvÀºÀ ¸ÀÞ½ÃAiÀÄ UÀAqÁAvÀgÀUÀ¼À PÁgÀt¢AzÀ ¨É¼É £ÀµÀÖ ¸ÀA sÀ«¹zÀgÉ, «ªÉÄ ªÀiÁr¹gÀÄªÀ gÉÊvÀgÀÄ F §UÉÎ ¸ÀA§AzsÀ¥ÀlÖ ºÀtPÁ¸ÀÄ ¸ÀA¸ÉÞ CxÀªÁ CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ÉAUÀ¼ÀÆgÀÄ F PÀbÉÃjUÀ½UÉ vÀPÀët ¸ÀÆZÀ£É ¤ÃqÀ ÉÃPÀÄ ªÀÄvÀÄÛ AiÀiÁªÀÅzÉÃ ¸ÀAzÀ sÀðzÀ°è «ªÉÄ

285

ªÀiÁr¹zÀ É¼ÉAiÀÄ «ªÀgÀUÀ¼À£ÀÄß, ºÁ¤AiÀÄ ªÁå¦Û ºÁUÀÆ ºÁ¤UÉ PÁgÀtUÀ¼À£ÀÄß 48 UÀAmÉUÀ¼ÉÆ¼ÀUÁV w½¸À ÉÃPÀÄ.

£ÀµÀÖzÀ §UÉV£À ªÀiÁ»wAiÀÄ£ÀÄß ¹éÃPÀj¹zÀ ªÉÄÃ¯É CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ÉAUÀ¼ÀÆgÀÄ EªÀgÀÄ É¼É £ÀµÀÖªÀ£ÀÄß ¤zsÀðj¸ÀÄªÀÅzÀPÉÌ £ÀµÀÖ ¤zsÁðgÀPÀgÀ£ÀÄß ¸ÀA§AzsÀ¥ÀlÖ ¥ÀæzÉÃ±ÀPÉÌ ¤AiÉÆÃf¸À ÉÃPÀÄ. f¯Áè PÀAzÁAiÀÄ DqÀ½vÀªÀÅ÷ É¼É £ÀµÀÖzÀ ¥ÀæªÀiÁtªÀ£ÀÄß ¤zsÀðj¸ÀÄªÀ°è CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ÉAUÀ¼ÀÆgÀÄ EªÀjUÉ £ÉgÀªÀÅ÷¤ÃqÀvÀPÀÌzÀÄÝ.

F AiÉÆÃd£ÉAiÀÄrAiÀÄ°è É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ É¼É ©wÛzÀ / £Án ªÀiÁrzÀ £ÀAvÀgÀ 30 ¢ªÀ ÀUÀ¼ÉÆ¼ÀVgÀÄªÀ É¼ÉUÀ½UÉ ªÀiÁvÀæ «ªÀiÁ PÀAvÀÄ PÀnÖ CfðAiÀÄ£ÀÄß ¸À°è¸ÀvÀPÀÌzÀÄÝ ºÁUÀÆ £ÉÆAzÁ¬Ä¸ÀÄªÀ ¸ÀªÀÄAiÀÄzÀ°è É¼ÉAiÀÄÄ DgÉÆÃUÀåPÀgÀªÁVgÀvÀPÀÌzÀÄÝ.

F AiÉÆÃd£ÉUÉ M¼À¥ÀqÀÄªÀ ««zsÀ É¼ÉUÀ½UÉ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ ¨ÁåAPÀÄUÀ½UÉ WÉÆÃµÀuÉUÀ¼À£ÀÄß ¸À°è¸À®Ä ¤UÀ¢¥Àr¹gÀÄªÀ CAwªÀÄ ¢£ÁAPÀ F PÉ¼ÀPÀAqÀAwzÉ.

PÀæ ÀA

É¼ÉUÀ¼ÀÄ f ÉèUÀ¼ÀÄ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ

gÉÊvÀgÀÄ ¥Á ÉÆÎ¼Àî®Ä CAwªÀÄ ¢£ÁAPÀ

1 eÉÆÃ¼À (ªÀÄ¼ÉD²ævÀ), GzÀÄÝ (ªÀÄ¼ÉD²ævÀ), ºÉ ÀgÀÄ (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ J¼ÀÄî (ªÀÄ¼ÉD²ævÀ)

ªÉÄÊ¸ÀÆgÀÄ ªÀÄvÀÄÛ ZÁªÀÄgÁd£ÀUÀgÀ

31£ÉÃ dÄ¯ÉÊ 2015

2 sÀvÀÛ (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À (ªÀÄ¼ÉD²ævÀ), eÉÆÃ¼À (¤ÃgÁªÀj), gÁV (¤ÃgÁªÀj), gÁV (ªÀÄ¼ÉD²ævÀ), ¸ÀeÉÓ (¤ÃgÁªÀj), vÉÆUÀj (ªÀÄ¼ÉD²ævÀ), ºÀÄgÀÄ½ (ªÀÄ¼ÉD²ævÀ), ºÀgÀ¼ÀÄ (ªÀÄ¼ÉD²ævÀ), ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj), ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ)

ªÉÄÊ¸ÀÆgÀÄ ªÀÄvÀÄÛ ZÁªÀÄgÁd£ÀUÀgÀ

31£ÉÃ DUÀ ïÖ 2015

3 sÀvÀÛ (¤ÃgÁªÀj), ¨sÀvÀÛ (ªÀÄ¼ÉD²ævÀ), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (ªÀÄ¼ÉD²ævÀ), eÉÆÃ¼À (¤ÃgÁªÀj), eÉÆÃ¼À (ªÀÄ¼ÉD²ævÀ), gÁV (¤ÃgÁªÀj), gÁV (ªÀÄ¼ÉD²ævÀ), ¸ÀeÉÓ (¤ÃgÁªÀj), ¸ÀeÉÓ (ªÀÄ¼ÉD²ævÀ), £ÀªÀuÉ (ªÀÄ¼ÉD²ævÀ), ¸ÁªÉ (ªÀÄ¼ÉD²ævÀ), GzÀÄÝ (ªÀÄ¼ÉD²ævÀ), ºÉ ÀgÀÄ (ªÀÄ¼ÉD²ævÀ), ¸ÉÆÃAiÀiÁCªÀgÉ (¤ÃgÁªÀj), ¸ÉÆÃAiÀiÁCªÀgÉ (ªÀÄ¼ÉD²ævÀ), vÉÆUÀj (¤ÃgÁªÀj), vÉÆUÀj (ªÀÄ¼ÉD²ævÀ), ºÀÄgÀÄ½ (ªÀÄ¼ÉD²ævÀ), ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj), ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼ÉD²ævÀ), ºÀgÀ¼ÀÄ (ªÀÄ¼ÉD²ævÀ), J¼ÀÄî (ªÀÄ¼ÉD²ævÀ), £É®UÀqÀ É (±ÉÃAUÁ) (¤ÃgÁªÀj) ªÀÄvÀÄÛ £É®UÀqÀ¯É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ)

G½zÀ

28 f¯ÉèUÀ¼ÀÄ

31£ÉÃ DUÀ ïÖ 2015

286

F AiÉÆÃd£ÉAiÀÄrAiÀÄ°è É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ É¼É ©wÛzÀ/£Án ªÀiÁrzÀ £ÀAvÀgÀ 30 ¢ªÀ ÀzÉÆ¼ÀUÉ CxÀªÁ ªÉÄÃ¯É ¤UÀ¢ü¥Àr¹zÀ ¢£ÁAPÀzÉÆ¼ÀUÉ AiÀiÁªÀÅzÀÄ ªÀÄÄAZÉAiÉÆÃ D CªÀ¢üAiÉÆ¼ÀUÉ ¨ÁåAQUÉ WÉÆÃµÀuÉUÀ¼À£ÀÄß ¸À°è¸ÀvÀPÀÌzÀÄÝ. ªÉÄÃ¯É ¤UÀ¢ü¥Àr¹zÀ ¢£ÁAPÀzÀ £ÀAvÀgÀ ¸À°è¹zÀ CfðUÀ¼À£ÀÄß wgÀ ÀÌj¸ÀÄªÀÅzÀÄ. É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ CfðAiÉÆA¢UÉ sÀÆ«Ä ºÉÆA¢gÀÄªÀÅzÀPÉÌ zÁR¯ÉUÀ¼ÁzÀ ¥ÀºÀtÂ / SÁvÉ / ¥Á¸ï ¥ÀÄ¸ÀÛPÀ / PÀAzÁAiÀÄ gÀ²Ã¢AiÀÄ£ÀÄß ¤ÃqÀvÀPÀÌzÀÄÝ.

PÀÈ¶ E¯ÁSÉ¬ÄAzÀ C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ AiÀiÁªÀÅzÉÃ AiÉÆÃd£ÉAiÀÄ ¥sÀ Á£ÀÄ sÀ« gÉÊvÀgÀÄ ( É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ) CAzÁdÄ É¼É ©vÀÛ£É DzsÁgÀzÀ ªÉÄÃ¯É ©vÀÛ£É ¥ÀÆªÀðzÀ Éè ¥Á¯ÉÆÎ¼Àî§ºÀÄzÀÄ. ¸ÀzÀj ºÉÆÃ§½/vÁ®ÆèPÀÄ ªÁå¦ÛAiÀÄ E¯ÁSÉ C¢üPÁj¬ÄAzÀ É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄ CfðAiÀÄ£ÀÄß zÀÈrÃPÀj¹, d«ÄÃ£ÀÄ ºÉÆA¢gÀÄªÀ zÁR¯ÉUÁV ¥ÀºÀtÂAiÀÄ£ÀÄß ¤Ãr ¨ÁåAQ£À°è «ªÀiÁ PÀAvÀÄ PÀnÖ CfðAiÀÄ£ÀÄß ¸À°è ÀvÀPÀÌzÀÄÝ. É¼É «ªÉÄUÉ £ÉÆAzÁ¬Ä¹zÀ £ÀAvÀgÀ ÉÃgÉ É¼É ©vÀÛ£É ªÀiÁrzÀ°è ©vÀÛ£ÉAiÀiÁzÀ 30 ¢ªÀ ÀzÉÆ¼ÀUÉ CxÀªÁ £ÉÆAzÁ¬Ä¸À®Ä ¤UÀ¢¥Àr¹zÀ PÉÆ£ÉAiÀÄ ¢£ÁAPÀzÉÆ¼ÀUÉ (AiÀiÁªÀÅzÀÄ ªÉÆzÀ ÉÆÃ CzÀÄ) £ÉÆAzÁ¬Ä¹zÀ DyðPÀ ¸ÀA¸ÉÞUÀ¼À°è ©vÀÛ£É zÀÈrüÃPÀgÀt ¤Ãr «ªÉÄ ªÀiÁr¹zÀ É¼ÉAiÀÄ£ÀÄß §zÀ Á¬Ä¸ÀvÀPÀÌzÀÄÝ ºÁUÀÆ CAvÀºÀ ¸ÀAzÀ sÀðzÀ°è ºÉZÀÄÑªÀj «ªÀiÁ PÀAw£À ªÀåvÁå¸ÀzÀ ªÉÆvÀÛªÀ£ÀÄß gÉÊvÀgÀÄ sÀj¸ÀvÀPÀÌzÀÄÝ.

É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥ÀqÀÄªÀ ¥Àj²µÀÖ eÁw ªÀÄvÀÄÛ ¥Àj²µÀÖ ¥ÀAUÀqÀUÀ¼À J¯Áè gÉÊvÀjUÉ «ªÀiÁ PÀAw£À°è ±ÉÃ.90gÀµÀÄÖ jAiÀiÁ¬ÄwAiÀÄ£ÀÄß ¤ÃqÀ®Ä ºÁUÀÆ ¸ÀzÀj ªÉÆvÀÛªÀ£ÀÄß PÀÈ¶ E¯ÁSÉAiÀÄ°è C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ «±ÉÃµÀ WÀlPÀ / Vjd£À G¥ÀAiÉÆÃd£ÉAiÀÄr (SCP /TSP) ® sÀå«gÀÄªÀ C£ÀÄzsÁ£ÀzÀ°è sÀj¸ÀvÀPÀÌzÀÄÝ. F jAiÀiÁ¬ÄwAiÀÄ°è ¸ÀtÚ ªÀÄvÀÄÛ Cw ¸ÀtÚ gÉÊvÀjUÉ gÁdå ¸ÀPÁðgÀzÀ ªÀw¬ÄAzÀ ¤ÃqÀ ÁUÀÄªÀ ±ÉÃ.5.00gÀ ¸ÀºÁAiÀÄzsÀ£ÀªÀÇ ¸ÀºÀ ¸ÉÃjgÀÄvÀÛzÉ.

2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«ÄUÉ C£ÀÄ§AzsÀ-1 & 2gÀ ºÉÆÃ§½UÀ¼À ªÀÄvÀÄÛ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À°è ¤ÃqÀ ÁVgÀÄªÀ É¼ÉUÀ½UÉ ¨É¼É ¸Á® ¥ÀqÉzÀ gÉÊvÀgÀ£ÀÄß 01-04-2015 jAzÀ 30-09-2015gÉÆ¼ÀUÉ PÀqÁØAiÀÄªÁV M¼À¥Àr¸ÀvÀPÀÌzÀÄÝ ºÁUÀÆ ¨É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀjUÉ «vÀj¹zÀ É¼É ¸Á®zÀ ªÉÆvÀÛPÉÌ ªÀiÁvÀæ É¼É «ªÉÄ C£Àé¬Ä¸ÀÄvÀÛzÉ. É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀjUÉ «ªÀiÁ PÀAw£À

ªÉÆvÀÛªÀ£ÀÄß É¼É ¸Á®zÀ ªÉÆvÀÛQÌAvÀ ºÉZÀÄÑªÀjAiÀiÁV ªÀÄAdÆgÀÄ ªÀiÁqÀvÀPÀÌzÀÄÝ.

¥Àæ¸ÀPÀÛ ªÀiÁºÉAiÀÄ°è «ªÉÄ ªÀiÁr¹zÀ J¯Áè ªÀUÀðzÀ gÉÊvÀgÀ ¥Àæ¸ÁÛªÀ£ÉUÀ¼À£ÀÄß ªÀÄÄA¢£À ªÀiÁºÉAiÀÄ CAvÀåzÉÆ¼ÀUÉ £ÉÆÃqÀ ï ¨ÁåAPÀÄUÀ¼ÀÄ «ªÀiÁ ¸ÀA¸ÉÞUÉ ¸À°è¸ÀvÀPÀÌzÀÄÝ. CAwªÀÄªÁV ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß «ªÀiÁ ¸ÀA¸ÉÞUÉ ¤ÃqÀ®Ä ªÀÄÄAUÁgÀÄ ºÀAUÁ«ÄUÉ PÉÆ£ÉAiÀÄ ¢£ÁAPÀ: 31-10-2015 DVgÀÄvÀÛzÉ.

É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀgÀÄ CªÀgÀÄ ¥ÀqÉAiÀÄÄªÀ ¸Á®zÀ ªÉÆvÀÛQÌAvÀ ºÉaÑ£À ªÉÆvÀÛPÉÌ CAzÀgÉ, ¥ÁægÀA©üPÀ E¼ÀÄªÀjAiÀÄ «ªÀiÁ ªÉÆvÀÛzÀªÀgÉ«UÀÆ «ªÉÄ ªÀiÁr¸À ÉÃPÉA¢zÀÝgÉ ¸Àé EZÉÒ¬ÄAzÀ «ªÀiÁ PÀAvÀ£ÀÄß ¥ÁªÀw¹ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀjUÉ ªÉÄÃ°£ÀAvÉ ¤UÀ¢ü¥Àr¹zÀ ¢£ÁAPÀzÉÆ¼ÀUÉ AiÉÆÃd£ÉAiÀÄrAiÀÄ°è ¥Á¯ÉÆÎ¼ÀîvÀPÀÌzÀÄÝ.

gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr ¸ÀtÚ ªÀÄvÀÄÛ Cw ¸ÀtÚ gÉÊvÀjUÉ «ªÀiÁ PÀAw£À ªÉÄÃ¯É ±ÉÃPÀqÀ 10gÀ ¸ÀºÁAiÀÄzsÀ£ÀªÀ£ÀÄß ¤ÃqÀvÀPÀÌzÀÄÝ.

¸ÁªÀiÁ£Àå É¼É CAzÁdÄ ¸À«ÄÃPÉëAiÀÄr gÁdå ¸ÀPÁðgÀªÀÅ÷ £ÀqÉ ÀÄªÀ É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À DzsÁgÀzÀ ªÉÄÃ¯É PÀAqÀÄ»rAiÀÄ¯ÁzÀ E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß ªÀiÁvÀæ ¥ÀjUÀtÂ¹ É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß ¯ÉPÀÌºÁQ EvÀåxÀð¥Àr¸ÀPÀvÀPÀÌzÀÄÝ. EvÀgÉ E¼ÀÄªÀj CAzÁdÄ ªÀiÁqÀÄªÀAvÀºÀ «zsÁ£ÀUÀ¼ÁzÀ

287

DuÉªÁj CxÀªÁ gÁdå ¸ÀPÁðgÀªÀÅ÷ CxÀªÁ AiÀiÁªÀÅzÉÃ E¯ÁSÉ CxÀªÁ ¸ÀA¸ÉÞ, PÁëªÀÄ, §gÀ, ¥ÀæªÁºÀ JAzÀÄ WÉÆÃ¶¹ E¼ÀÄªÀj £ÀµÀÖªÀ£ÀÄß CAzÁdÄ ªÀiÁqÀÄªÀ ªÀiÁ»wAiÀÄ£ÀÄß F AiÉÆÃd£ÉAiÀÄr É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß ¯ÉPÀÌºÁPÀ®Ä ¥ÀjUÀtÂ ÀvÀPÀÌzÀÝ®è.

¤zÉðÃ±ÀPÀgÀÄ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉ, EªÀgÀÄ C¢ü¸ÀÆavÀ ¨É¼ÉUÀ½UÉ ºÉÆÃ§½ªÁgÀÄ É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß £ÀqÉ À®Ä É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À AiÉÆÃd£É ºÁUÀÆ ªÀÄÆ®

PÁAiÀÄðPÀvÀðgÀÄUÀ½UÉ vÀgÀ ÉÃwAiÀÄ ¸ÀÆPÀÛ ªÀåªÀ ÉÞ ªÀiÁqÀvÀPÀÌzÀÄÝ ºÁUÀÆ AiÀiÁªÀÅzÁzÀgÀÆ ºÉÆÃ§½AiÀÄ°è MAzÀQÌAvÀ ºÉaÑ£À PÀÈ¶ ºÀªÁªÀiÁ£À ªÀ®AiÀÄUÀ¼ÀÄ PÀAqÀÄ§AzÀ°è, D ºÉÆÃ§½AiÀÄ°è PÀÈ¶ ºÀªÁªÀiÁ£À ªÀ®AiÀÄUÀ¼ÀÄ ºÉÆA¢gÀvÀPÀÌ PÉëÃvÀæPÉÌ C£ÀÄUÀÄtªÁV É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß ¤UÀ¢ü¥Àr¸ÀvÀPÀÌzÀÄÝ. É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À £ÀAvÀgÀ 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À J¯Áè É¼ÉUÀ¼À ¨É¼É E¼ÀÄªÀj ªÀiÁ»w ºÁUÀÆ É¼É «¹ÛÃtð ªÀiÁ»wAiÀÄ£ÀÄß É¼ÉªÁgÀÄ É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼ÀÄ ªÀÄÄVzÀ £ÀAvÀgÀ DVAzÁÝUÉ PÉÆæÃrÃPÀj¹ vÀPÀët «ªÀiÁ ¸ÀA¸ÉÜUÉ ¤ÃqÀÄªÀÅzÀÄ ºÁUÀÆ ¸ÀA¥ÀÆtð ªÀiÁ»wAiÀÄ£ÀÄß ¢£ÁAPÀ: 31-03-2016gÉÆ¼ÀUÉ «ªÀiÁ ¸ÀA¸ÉÞUÉ ¤ÃqÀvÀPÀÌzÀÄÝ.

vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå É¼ÉUÀ¼À£ÀÄß UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ°è C¢ü¸ÀÆa¸À ÉÃPÁzÀgÉ D É¼ÉAiÀÄ «¹ÛÃtð PÀ¤µÀ× 75 ºÉPÉÖÃgï EgÀ ÉÃPÀÄ. 75 ºÉPÉÖÃgï VAvÀ PÀrªÉÄ EgÀÄªÀ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À

gÉÊvÀjUÉ F AiÉÆÃd£ÉAiÀÄ ¸Ë® sÀåªÀ£ÀÄß zÉÆgÀQ¹PÉÆqÀÄªÀ GzÉÝÃ±À¢AzÀ JgÀqÀÄ CxÀªÁ ªÀÄÆgÀÄ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À£ÀÄß MUÀÆÎr¹ (PÀ¤µÀÖ 50 ºÉPÉÖÃgï-DªÀgÀtzÀ°è ¸ÉÃj¸À ÁVzÉ), Cw ºÉZÀÄÑ «¹ÛÃtð ºÉÆA¢gÀÄªÀ MAzÀÄ UÁæªÀÄ ¥ÀAZÁAiÀÄwAiÀÄ£ÀÄß «ªÀiÁ WÀlPÀ JAzÀÄ ¥ÀjUÀtÂ¹ C¢ü¸ÀÆa¸À ÁUÀÄwÛzÀÄÝ, É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß EvÀåxÀð¥Àr¸ÀÄªÀ ¸ÀAzÀ sÀðzÀ°è C¢ü¸ÀÆavÀ «ªÀiÁ WÀlPÀzÀ

(C£ÀÄ§AzsÀ-3gÀAvÉ) E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß (50 ºÉPÉÖÃgïVAvÀ PÀrªÉÄ «¹ÛÃtð EgÀÄªÀ J¯Áè UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼ÀÄ ¥Àæw¤¢ü¸ÀÄªÀAvÉ É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß £ÀqÉ ÀvÀPÀÌzÀÄÝ) ¥ÀjUÀtÂ ÀvÀPÀÌzÀÄÝ.

PÀÈ¶, PÀAzÁAiÀÄ ºÁUÀÆ ¸ÀA§AzsÀ¥ÀlÖ E¯ÁSÉUÀ¼ÀÄ AiÉÆÃd£ÉAiÀÄ£ÀÄß C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä «ªÀiÁ ¸ÀA¸ÉÞAiÀÄÄ PÉÊUÉÆ¼ÀÄîªÀ ¥ÀæZÁgÀ, ¥ÀæPÀluÉ ªÀÄvÀÄÛ vÀgÀ ÉÃw ¤ÃqÀÄªÀ°è ¸ÀºÀPÁgÀ ¤ÃqÀ ÉÃPÀÄ.

PÀÈ¶ E¯ÁSÉ, PÀAzÁAiÀÄ E¯ÁSÉ, ¸ÀºÀPÁgÀ E¯ÁSÉ ºÁUÀÆ ¸ÀA§AzsÀ¥ÀlÖ E¯ÁSÉUÀ¼ÀÄ ªÀÄÄAUÁgÀÄ 2015gÀ°è C¢ü¸ÀÆZÀ£É ¤ÃrgÀÄªÀ É¼ÉUÀ¼ÀÄ ªÀÄvÀÄÛ ºÉÆÃ§½UÀ¼À §UÉÎ ¨ÁåAPÀÄUÀ¼À, gÉÊvÀ ¸ÀA¥ÀPÀð PÉÃAzÀæUÀ¼À ªÀÄvÀÄÛ UÁæªÀÄ ¥ÀAZÁAiÀÄw PÀbÉÃjUÀ¼À ¸ÀÆZÀ£Á ¥sÀ®PÀUÀ¼À ªÉÄÃ¯É ¥ÀæPÀn¹ ªÁå¥ÀPÀ ¥ÀæZÁgÀ PÉÊUÉÆ¼Àî®Ä ¸ÀÆa¹zÉ.

AiÉÆÃd£ÉAiÀÄ£ÀÄß ¥ÀjuÁªÀÄPÁjAiÀiÁV C£ÀÄµÁ×£ÀUÉÆ½¸ÀÄªÀ°è C£ÀÄµÁ×£À ¸ÀA¸ÉÞAiÀiÁzÀ CVæPÀ®Ñgï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °«ÄmÉqï ¸ÀA¸ÉÞAiÀÄÄ÷ É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄ°è sÁUÀªÀ»¸À°gÀÄªÀ ««zsÀ ¸ÀA¸ÉÞUÀ¼À eÉÆvÉAiÀÄ°è ¸ÀªÀÄ£ÀéAiÀÄ ¤ÃqÀvÀPÀÌzÀÄÝ.

PÀ£ÁðlPÀ gÁdå¥Á®gÀ DeÁÕ£ÀÄ¸ÁgÀÀ ªÀÄvÀÄÛ CªÀgÀ ºÉ Àj£À°è

¸À»/-

(Dgï.J¸ï.²ªÀPÀÄªÀiÁgï) ¸ÀPÁðgÀzÀ C¢üÃ£À PÁAiÀÄðzÀ²ð,

PÀÈ¶ E¯ÁSÉ.

288

UÉ,

1) ªÀÄºÁ¯ÉÃR¥Á®gÀÄ, ÉAUÀ¼ÀÆgÀÄ.

2) gÁdåzÀ ¨É¼É «ªÀiÁ ¸À«ÄwAiÀÄ J¯Áè ÀzÀ ÀåjUÉ.

3) PÀÈ¶ DAiÀÄÄPÀÛgÀÄ, ÉAUÀ¼ÀÆgÀÄ.

4) PÀÈ¶ ¤zÉðÃ±ÀPÀgÀÄ, ¨ÉAUÀ¼ÀÆgÀÄ.

5) ¤zÉðÃ±ÀPÀgÀÄ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ ¤zÉðÃ±À£Á®AiÀÄ, ÉAUÀ¼ÀÆgÀÄ.

6) ¤zÉðÃ±ÀPÀgÀÄ (¦J¥sïr), AiÉÆÃd£Á E¯ÁSÉ, §ºÀÄªÀÄºÀr PÀlÖqÀ, ÉAUÀ¼ÀÆgÀÄ.

7) J¯Áè f¯Áè¢üPÁjUÀ¼ÀÄ.

8) J¯Áè ªÀÄÄRå PÁAiÀÄð¤ªÀðºÀuÁ¢üPÁjUÀ¼ÀÄ, f¯Áè ¥ÀAZÁAiÀÄvï.

9) J¯Áè f¯Áè dAn PÀÈ¶ ¤zÉðÃ±ÀPÀgÀÄ.

10) J¯Áè f¯Áè ÀASÁå ¸ÀAUÀæºÀuÁ¢üPÁjUÀ¼ÀÄ.

11) J¯Áè °Ãqï ¨ÁåAPÀÄUÀ¼ÀÄ.

12) J¯Áè PÉÃAzÀæ ¸ÀºÀPÁgÀ ¨ÁåAPÀÄUÀ¼ÀÄ.

13) J¯Áè ¥ÁæzÉÃ²PÀ UÁæ«ÄÃt ¨ÁåAPÀÄUÀ¼ÀÄ.

14) J¯Áè £ÉÆÃqÀ ï ¨ÁåAPÀÄUÀ¼ÀÄ.

15) ¥ÁæzÉÃ²PÀ ªÀåªÀ ÁÞ¥ÀPÀgÀÄ, CVæPÀ®Ñgï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °«ÄmÉqï, PÀ£ÁðlPÀ ¥ÁæzÉÃ²PÀ PÀbÉÃj, PÀ£ÁðlPÀ ¥ÀæzÉÃ±À PÀÈ¶PÀ ¸ÀªÀiÁd, £ÀA.18, 3£ÉÃ ªÀÄºÀr, £ÀÈ¥ÀvÀÄAUÀ gÀ ÉÛ, ºÀqÀì£ï ªÀÈvÀÛ, ÉAUÀ¼ÀÆgÀÄ.

16) C¢üÃ£À PÁAiÀÄðzÀ²ð, DyðPÀ E¯ÁSÉ (ªÉZÀÑ -4), ÉAUÀ¼ÀÆgÀÄ.

17) C¢üÃ£À PÁAiÀÄðzÀ²ð, PÀAzÁAiÀÄ E¯ÁSÉ, ÉAUÀ¼ÀÆgÀÄ.

18) DAvÀjPÀ DyðPÀ ¸À®ºÉUÁgÀgÀÄ, PÀÈ¶ ªÀÄvÀÄÛ vÉÆÃlUÁjPÉ E¯ÁSÉ, ¨ÉAUÀ¼ÀÆgÀÄ.

19) PÀA¥ÉÊ®gï, PÀ£ÁðlPÀ UÉeÉmï, ÉAUÀ¼ÀÆgÀÄ, EªÀgÀÄ EzÀ£ÀÄß ªÀÄÄA¢£À ¸ÀAaPÉAiÀÄ°è ¥ÀæPÀn¸À®Ä PÀæªÀÄ vÉUÉzÀÄPÉÆ¼ÀÄîªÀÅzÀÄ.

20) gÀPÁë PÀqÀvÀ : ºÉZÀÄÑªÀj ¥Àæw.

(PÀæªÀÄ ¸ÀASÉå: 7 jAzÀ 10 gÀªÀgÉUÉ PÀÈ¶ ¤zÉðÃ±ÀPÀgÀ ªÀÄÆ®PÀ ºÁUÀÆ PÀæªÀÄ ¸ÀASÉå: 11 jAzÀ 14 gÀªÀgÉUÉ «ªÀiÁ ¸ÀA¸ÉÞAiÀÄ ªÀÄÆ®PÀ)

289

C£ÀÄ§AzsÀ - 2

É¼É CAzÁdÄ À«ÄÃPÉëAiÀÄr PÉÃAzÀæ PÀbÉÃjUÉ PÀ¼ÀÄ» À ÉÃPÁUÀÄªÀ ªÀgÀ¢/ªÀiÁ»w/£ÀªÀÄÆ£ÉUÀ¼À ¤UÀ¢vÀ ªÉÃ¼Á¥ÀnÖ - ªÀÄÄAUÁgÀÄ / ªÁ¶ðPÀ

PÀæ. ÀA. ªÀgÀ¢ / ªÀiÁ»w / £ÀªÀÄÆ£ÉUÀ¼ÀÄ ¤UÀ¢vÀ ¢£ÁAPÀ

1 CAwªÀÄªÁV Dj¹gÀÄªÀ ºÀ½îUÀ¼À AiÉÆÃd£Á¥ÀnÖ £ÀªÀÄÆ£É-4 25£ÉÃ dÆ£ï

2 É¼ÉªÁgÀÄ ªÀÄvÀÄÛ ºÀÄzÉÝªÁgÀÄ ªÀÄÆ®

PÁAiÀÄðPÀvÀðjUÉ ºÀAaPÉAiÀiÁVgÀÄªÀ ¥ÀæAiÉÆÃUÀUÀ¼À «ªÀgÀ

£ÀªÀÄÆ£É-7

15£ÉÃ r¸ÉA§gï 3

É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼À ¤ªÀðºÀuÉAiÀÄ PÀÄjvÀAvÉ vÀgÀ ÉÃw ¤ÃrgÀÄªÀ §UÉÎ ªÀgÀ¢UÀ¼ÀÄ

£ÀªÀÄÆ£É-8

4 ªÀÄÆ® PÁAiÀÄðPÀvÀðgÀ PÁAiÀÄð sÁgÀzÀ «ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-9

5 ªÀiÁ¹PÀ ¥ÀæUÀwAiÀÄ ªÀgÀ¢UÀ¼ÀÄ £ÀªÀÄÆ£É-11

¸É¥ÉÖA§gï, CPÉÆÖÃ§gï, £ÀªÉA§gï, r¸ÉA§gï wAUÀ¼À ªÀgÀ¢UÀ¼ÀÄ

ªÀÄÄA¢£À wAUÀ¼À 10£ÉÃ vÁjÃT£ÉÆ¼ÀUÉ

6 ªÉÄÃ°éZÁgÀuÁ ªÀgÀ¢UÀ¼ÀÄ £ÀªÀÄÆ£É-13

10£ÉÃ K¦æ¯ï 7 ±ÀÄµÀÌ ¥ÀæAiÉÆÃUÀUÀ¼À «ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-14

8 É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼ÀÄ £ÀµÀÖUÉÆArgÀÄªÀ §UÉÎ

«ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-15

9 sÀwð ªÀiÁrzÀ É.CA. À. £ÀªÀÄÆ£ÉUÀ¼ÀÄ (£ÀªÀÄÆ£É-2 ªÀÄvÀÄÛ £ÀªÀÄÆ£É-3):

1. GzÀÄÝ ªÀÄvÀÄÛ ºÉ ÀgÀÄ 30£ÉÃ CPÉÆÖÃ§gï

2. ÀeÉÓ, J¼ÀÄî, ¸ÉÆÃAiÀiÁ CªÀgÉ, D®ÆUÉqÉØ ªÀÄvÀÄÛÛ FgÀÄ½î. 30£ÉÃ £ÀªÀA§gï

3. eÉÆÃ¼À, gÁV, ªÉÄPÉÌeÉÆÃ¼À, £ÀªÀuÉ, ¸ÁªÉ, CªÀgÉ, C®¸ÀAzÉ, ±ÉÃAUÁ ªÀÄvÀÄÛ ¸ÀÆAiÀÄðPÁAw

31£ÉÃ r¸ÉA§gï

4. sÀvÀÛ 31£ÉÃ d£ÀªÀj

5. vÉÆUÀj, ºÀÄgÀÄ½, ºÀgÀ¼ÀÄ, ªÉÄt¹£ÀPÁ¬Ä ªÀÄvÀÄÛ ºÀwÛ 28£ÉÃ ¥sÉ§æªÀj

6. PÀ§Äâ ªÀÄvÀÄÛ vÀA¨ÁPÀÄ 31£ÉÃ ªÉÄÃ

290

PÀ£ÁðlPÀ ¸ÀPÁðgÀzÀ £ÀqÀªÀ½UÀ¼ÀÄ

«µÀAiÀÄ: gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß 2015-16gÀ »AUÁgÀÄ ºÁUÀÆ ÉÃ¹UÉ ºÀAUÁªÀÄÄUÀ¼À°è C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä WÀlPÀªÁgÀÄ É¼ÉUÀ¼À

WÉÆÃµÀuÉ §UÉÎ -DzÉÃ±ÀUÀ¼ÀÄ.

ÀPÁðgÀzÀ DzÉÃ±ÀzÀ ÀASÉå: PÀÈE/100/PÀÈGE/2015, ÉAUÀ¼ÀÆgÀÄ; ¢£ÁAPÀ:- 09-11-2015.

NzÀ¯ÁVzÉ: 1) PÉÃAzÀæ ¸ÀPÁðgÀzÀ ¥ÀvÀæ ¸ÀA.:13011/04/2004-PÉærmï-II; ¢£ÁAPÀ: 20-3-2015.

2) gÁdå ªÀÄlÖzÀ É¼É «ªÀiÁ ¸ÀªÀÄ£ÀéAiÀÄ ¸À«Äw ¸À sÉAiÀÄ £ÀqÀªÀ½UÀ¼À ¢£ÁAPÀ:21-10-2015.

3) PÀÈ¶ DAiÀÄÄPÀÛgÀ ¥ÀvÀæzÀ ¸ÀASÉå: É«WÀ/vÁA-1/25/2015-16; ¢£ÁAPÀ: -11-2015.

¥Àæ¸ÁÛªÀ£É:

ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (1)gÀ ¥ÀvÀæzÀ°è PÉÃAzÀæ ¸ÀPÁðgÀªÀÅ÷ gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß 2015-16£ÉÃ ¸Á°£À°è ªÀÄÄAzÀÄªÀgÉ¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä DqÀ½vÁvÀäPÀ ªÀÄAdÆgÁwAiÀÄ£ÀÄß ¤ÃrgÀÄvÀÛzÉ.

ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (2)gÀ ¸ÀPÁðgÀzÀ C¥ÀgÀ ªÀÄÄRå PÁAiÀÄðzÀ²ðUÀ¼ÀÄ ºÁUÀÆ C©üªÀÈ¢Þ DAiÀÄÄPÀÛgÀªÀgÀ CzsÀåPÀëvÉAiÀÄ°è £ÀqÉzÀ gÁdå ªÀÄlÖzÀ ¨É¼É «ªÀiÁ ¸ÀªÀÄ£ÀéAiÀÄ ¸À«Äw ¸À sÉAiÀÄ°è 2015-16£ÉÃ ¸Á°£À »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ£ÀÄß ªÀÄÄAzÀÄªÀgÉ¹ gÁdåzÀ J¯Áè f¯ÉèÉèUÀ¼À°è vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå É¼ÉUÀ¼À£ÀÄß UÁæªÀÄ ¥ÀAZÁ¬Äw ªÀÄlÖPÉÌ ºÁUÀÆ G½zÀ É¼ÉUÀ¼À£ÀÄß ºÉÆÃ§½ ªÀÄlÖzÀ°è C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä M¦àUÉ ¤Ãr F PÉ¼ÀPÀAqÀ wÃªÀiÁð£ÀUÀ¼À£ÀÄß

vÉUÉzÀÄPÉÆ¼Àî¯ÁVzÉ.

1. 2015-16£ÉÃ ¸Á°£À°è gÁdåzÀ J¯Áè f¯ÉèÉèUÀ¼À°è 19 É¼ÉUÀ¼ÁzÀ sÀvÀÛ (¤ÃgÁªÀj), eÉÆÃ¼À (¤ÃgÁªÀj), eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), gÁV (¤ÃgÁªÀj), gÁV (ªÀÄ¼ÉD²ævÀ), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), UÉÆÃ¢ü (¤ÃgÁªÀj), UÉÆÃ¢ü (ªÀÄ¼É D²ævÀ), PÀqÀ É (¤ÃgÁªÀj), PÀqÀ É (ªÀÄ¼É D²ævÀ), GzÀÄÝ (ªÀÄ¼É D²ævÀ), ºÀÄgÀÄ½ (ªÀÄ¼É D²ævÀ), ºÉ ÀgÀÄ (ªÀÄ¼ÉD²ævÀ), CUÀ É (ªÀÄ¼É D²ævÀ), ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj), ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼É D²ævÀ), £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ PÀÄ¸ÀÄªÉÄ (ªÀÄ¼É D²ævÀ) EªÀÅUÀ¼À£ÀÄß »AUÁgÀÄ ºÀAUÁ«ÄUÉ ºÁUÀÆ 5 É¼ÉUÀ¼ÁzÀ sÀvÀÛ (¤ÃgÁªÀj), gÁV (¤ÃgÁªÀj), £É®UÀqÀ É (±ÉÃAUÁ) (¤ÃgÁªÀj), £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj) EªÀÅUÀ¼À£ÀÄß ÉÃ¹UÉ ºÀAUÁ«ÄUÉ C¢ü¸ÀÆa¸À®Ä wÃªÀiÁð¤¸À Á¬ÄvÀÄ.

2. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁªÀÄÄUÀ¼ÀÀ°è ¸ÀÞ¼À ¤¢ðµÀÖ ¥ÀæPÀÈw «PÉÆÃ¥ÀUÀ¼À (¥ÀæªÁºÀ, ZÀAqÀªÀiÁgÀÄvÀ, D°ÃPÀ®Äè ªÀÄ¼É ªÀÄvÀÄÛ sÀÆ PÀÄ¹vÀ) ¸ÀAzÀ sÀðzÀ°è £ÀµÀÖzÀ ¤zsÀðgÀuÉUÁV gÁdåzÀ J¯Áè f¯ÉèUÀ¼À£ÀÄß C¼ÀªÀr¹ C¢ü¸ÀÆa¸À®Ä wÃªÀiÁð¤¸À ÁVzÉ.

291

3. F AiÉÆÃd£ÉUÉ M¼À¥ÀqÀÄªÀ ««zsÀ É¼ÉUÀ½UÉ É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ ªÀÄvÀÄÛ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ ¨ÁåAPÀÄUÀ½UÉ WÉÆÃµÀuÉUÀ¼À£ÀÄß ¸À°è¸À®Ä ¤UÀ¢¥Àr¹gÀÄªÀ CAwªÀÄ ¢£ÁAPÀ F PÉ¼ÀPÀAqÀAwzÉ.

ºÀAUÁªÀÄÄ É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀgÀÄ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ

»AUÁgÀÄ ºÀAUÁªÀÄÄ 31-12-2015 31-12-2015

ÉÃ¹UÉ ºÀAUÁªÀÄÄ 31-3-2016 29-02-2016

4. PÀÈ¶ E¯ÁSÉ¬ÄAzÀ C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ AiÀiÁªÀÅzÉÃ AiÉÆÃd£ÉAiÀÄ ¥sÀ Á£ÀÄ sÀ«UÀ¼À£ÀÄß ( É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ) ºÁUÀÆ ©ÃeÉÆÃvÁàzÀPÀ gÉÊvÀgÀ£ÀÄß PÀqÁØAiÀÄªÁV É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥Àr¸ÀÄªÀÅzÀÄ.

5. É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥ÀqÀÄªÀ ¥Àj²µÀÖ eÁw ªÀÄvÀÄÛ ¥Àj²µÀÖ ¥ÀAUÀqÀUÀ¼À J¯Áè gÉÊvÀjUÉ «ªÀiÁ PÀAw£À°è ±ÉÃ.90gÀµÀÄÖ jAiÀiÁ¬ÄwAiÀÄ£ÀÄß ¤ÃqÀ®Ä ºÁUÀÆ ¸ÀzÀj ªÉÆvÀÛªÀ£ÀÄß PÀÈ¶ E¯ÁSÉAiÀÄ°è C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ «±ÉÃµÀ WÀlPÀ / Vjd£À G¥ÀAiÉÆÃd£ÉAiÀÄr (SCP /TSP) ® sÀå«gÀÄªÀ C£ÀÄzsÁ£ÀzÀ°è sÀj¸ÀÄªÀÅzÀÄ.

6. ªÉÄÃ¯É NzÀ ÁzÀ PÀæªÀiÁAPÀ (3)gÀ°è PÀÈ¶ ¤zÉÃð±ÀPÀgÀÄ, ÉAUÀ¼ÀÆgÀÄ ¸ÀPÁðgÀzÀ C¥ÀgÀ ªÀÄÄRå PÁAiÀÄðzÀ²ðUÀ¼ÀÄ ºÁUÀÆ C©üªÀÈ¢Þ DAiÀÄÄPÀÛgÀªÀgÀÄ vÉUÉzÀÄPÉÆAqÀ wÃªÀiÁð£ÀzÀAvÉ ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß ¸ÀPÁðgÀPÉÌ ¸À°è¹ ÀÆPÀÛ DzÉÃ±ÀªÀ£ÀÄß ºÉÆgÀr¸ÀÄªÀAvÉ PÉÆÃjgÀÄvÁÛgÉ.

ªÉÄÃ°£À ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß ¥Àj²Ã°¹zÀ £ÀAvÀgÀ F PÉ¼ÀPÀAqÀAvÉ DzÉÃ±ÀªÀ£ÀÄß ¤ÃqÀ ÁVzÉ.

ÀPÁðgÀzÀ DzÉÃ±ÀÀ ÀASÉå: PÀÈE/100/PÀÈGE/2015, ÉAUÀ¼ÀÆgÀÄ; ¢£ÁAPÀ: 09-11-2015

1. PÀ£ÁðlPÀ gÁdåzÀ°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr 2015-16£ÉÃ ¸Á°£À°è J¯Áè f¯ÉèÉèUÀ¼À°è 19 É¼ÉUÀ¼ÁzÀ sÀvÀÛ (¤ÃgÁªÀj), eÉÆÃ¼À (¤ÃgÁªÀj), eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), gÁV (¤ÃgÁªÀj), gÁV (ªÀÄ¼ÉD²ævÀ), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (¤ÃgÁªÀj), ªÀÄÄ¸ÀÄQ£À eÉÆÃ¼À (ªÀÄ¼É D²ævÀ), UÉÆÃ¢ü (¤ÃgÁªÀj), UÉÆÃ¢ü (ªÀÄ¼É D²ævÀ), PÀqÀ É (¤ÃgÁªÀj), PÀqÀ¯É (ªÀÄ¼É D²ævÀ), GzÀÄÝ (ªÀÄ¼É D²ævÀ), ºÀÄgÀÄ½ (ªÀÄ¼É D²ævÀ), ºÉ ÀgÀÄ (ªÀÄ¼ÉD²ævÀ), CUÀ¸É (ªÀÄ¼É D²ævÀ), ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj), ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼É D²ævÀ), £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ PÀÄ¸ÀÄªÉÄ (ªÀÄ¼É D²ævÀ) EªÀÅUÀ¼À£ÀÄß »AUÁgÀÄ ºÀAUÁ«ÄUÉ ºÁUÀÆ 5 É¼ÉUÀ¼ÁzÀ ¨sÀvÀÛ (¤ÃgÁªÀj), gÁV (¤ÃgÁªÀj), £É®UÀqÀ É (±ÉÃAUÁ) (¤ÃgÁªÀj), £É®UÀqÀ É (±ÉÃAUÁ) (ªÀÄ¼ÉD²ævÀ) ªÀÄvÀÄÛ ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj) EªÀÅUÀ¼À£ÀÄß ÉÃ¹UÉ ºÀAUÁ«ÄUÉ C¢ü¸ÀÆa¸À®Ä ºÁUÀÆ EªÀÅUÀ¼À°è vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå É¼ÉUÀ¼À£ÀÄß UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÀÄlÖPÉÌ (UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÁå¦Û¬ÄAzÀ ºÉÆgÀVgÀÄªÀ ªÀÄvÀÄÛ ¥ÀlÖt/£ÀUÀgÀ ªÁå¦ÛUÉ ¸ÉÃgÀÄªÀ UÁæªÀÄUÀ¼À£ÀÄß ÉÃj¹zÀAvÉ) ªÀÄvÀÄÛ EvÀgÉ É¼ÉUÀ¼À£ÀÄß ºÉÆÃ§½ ªÀÄlÖPÉÌ C¼ÀªÀr¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä ªÀÄAdÆgÁw ¤ÃqÀ ÁVzÉ. UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÁå¦Û¬ÄAzÀ ºÉÆgÀVgÀÄªÀ ªÀÄvÀÄÛ ¥ÀlÖt/£ÀUÀgÀ ªÁå¦ÛUÉ ¸ÉÃgÀÄªÀ UÁæªÀÄUÀ¼À°è E¼ÀÄªÀj ªÀiÁ»w ® sÀå«®è¢zÀÝ°è ªÉÄÃ®älÖzÀ C¢ü¸ÀÆavÀ «ªÀiÁWÀlPÀzÀ E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß ¥ÀjUÀtÂ ÀvÀPÀÌzÀÄÝ.

292

2. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁªÀÄÄUÀ¼À°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr gÁdåzÀ J¯Áè f¯ÉèUÀ¼À°è UÁæªÀÄ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ°è C¢ü¸ÀÆa¸À®Ä DAiÀÄÝ vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå É¼ÉUÀ¼À ¥ÀnÖAiÀÄ£ÀÄß C£ÀÄ§AzsÀ-1 gÀ°è ¤ÃrzÉ.

3. 2015-16 »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁªÀÄÄUÀ¼À°è gÁdåzÀ J¯Áè f¯ÉèUÀ¼À°è gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄ C£ÀÄµÁ×£ÀPÁÌV DAiÀÄÝ É¼ÉUÀ¼ÀÄ, ºÉÆÃ§½UÀ¼ÀÄ ªÀÄvÀÄÛ UÁæªÀÄ¥ÀAZÁAiÀÄwUÀ¼À ¸ÀASÉåAiÀÄ£ÀÄß PÉ¼ÀUÉ ¤ÃrzÉ.

»AUÁgÀÄ ºÀAUÁªÀÄÄ:

PÀæ ÀA

É¼ÉUÀ¼ÀÄ ºÉÆÃ§½ ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À

ÀASÉå

UÁæªÀÄ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À ÀASÉå

MlÄÖ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À ÀASÉå (DªÀgÀtzÀ°ègÀÄªÀ

UÁæ.¥ÀA. ÉÃj)

1 sÀvÀÛ (¤ÃgÁªÀj) 48 247 331

2 eÉÆÃ¼À (¤ÃgÁªÀj) 137 94 95

3 eÉÆÃ¼À (ªÀÄ¼É D²ævÀ) 95 1609 1702

4 gÁV (¤ÃgÁªÀj) 44 - -

5 gÁV (ªÀÄ¼É D²ævÀ) 55 83 101

6 ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À (¤ÃgÁªÀj) 143 222 279

7 ªÀÄÄ¸ÀÄQ£ÀeÉÆÃ¼À(ªÀÄ¼É D²ævÀ) 71 - -

8 UÉÆÃ¢ü (¤ÃgÁªÀj) 99 302 330

9 UÉÆÃ¢ü (ªÀÄ¼É D²ævÀ) 119 58 58

10 PÀqÀ É (¤ÃgÁªÀj) 125 87 87

11 PÀqÀ ÉÉ (ªÀÄ¼É D²ævÀ) 110 1376 1430

12 GzÀÄÝ (ªÀÄ¼É D²ævÀ) 13 - -

13 ºÀÄgÀÄ½ (ªÀÄ¼É D²ævÀ) 200 568 692

14 ºÉ ÀgÀÄ (ªÀÄ¼É D²ævÀ) 10 - -

15 CUÀ É (ªÀÄ¼É D²ævÀ) 46 - -

16 ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj) 167 17 37

17 ¸ÀÆAiÀÄðPÁAw (ªÀÄ¼É D²ævÀ) 183 145 146

18 £É®UÀqÀ É (ªÀÄ¼ÉD²ævÀ) 9 5 5

19 PÀÄ¸ÀÄªÉÄ (ªÀÄ¼É D²ævÀ) 181 - -

293

ÉÃ¹UÉ ºÀAUÁªÀÄÄ:

PÀæ ÀA

É¼ÉUÀ¼ÀÄ ºÉÆÃ§½ ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À

ÀASÉå

UÁæªÀÄ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ «ªÀiÁ WÀlPÀUÀ¼À ÀASÉå

MlÄÖ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À ÀASÉå (DªÀgÀtzÀ°ègÀÄªÀ

UÁæ.¥ÀA. ÉÃj)

1 sÀvÀÛ (¤ÃgÁªÀj) 144 531 559

2 gÁV (¤ÃgÁªÀj) 27 - -

3 £É®UÀqÀ É (±ÉÃAUÁ)(¤ÃgÁªÀj) 120 391 487

4 £É®UÀqÀ É (ªÀÄ¼ÉD²ævÀ) - 2 2

5 ¸ÀÆAiÀÄðPÁAw (¤ÃgÁªÀj) 127 25 73

4. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À ªÉÄÃ¯É £ÀªÀÄÆ¢¹zÀ ºÉÆÃ§½ªÁgÀÄ É¼ÉUÀ¼À ¥ÀnÖAiÀÄ£ÀÄß C£ÀÄ§AzsÀ - 2gÀ°è ¤ÃrzÉ.

5. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À ªÉÄÃ¯É £ÀªÀÄÆ¢¹zÀ UÁæªÀÄ ¥ÀAZÁAiÀÄwªÁgÀÄ É¼ÉUÀ¼À ¥ÀnÖAiÀÄ£ÀÄß C£ÀÄ§AzsÀ - 3gÀ°è ¤ÃrzÉ.

6. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À ¨É¼ÉUÀ½UÉ ¤UÀ¢¥Àr¸À ÁVgÀÄªÀ EAqÉ«Äßn ªÀÄlÖ, «ªÀiÁ ªÉÆvÀÛ ªÀÄvÀÄÛ «ªÀiÁ PÀAw£À «ªÀgÀUÀ¼À£ÀÄß C£ÀÄ§AzsÀ - 4gÀ°è ¤ÃrzÉ.

7. gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr 2015gÀ ªÀÄÄAUÁgÀÄ ºÀAUÁ«Ä£À°è ¸ÀÞ¼À ¤¢ðµÀÖ ¥ÀæPÀÈw «PÉÆÃ¥ÀUÀ¼ÁzÀ ¥ÀæªÁºÀ, D°ÃPÀ®Äè ªÀÄ¼É, sÀÆ PÀÄ¹vÀ ªÀÄvÀÄÛ ZÀAqÀªÀiÁgÀÄvÀÀ EªÀÅUÀ¼ÀÄ GAmÁzÀ ¸ÀAzÀ sÀðzÀ°è gÁdåzÀ J¯Áè f¯ÉèUÀ¼À£ÀÄß £ÀµÀÖzÀ ¤zsÀðgÀuÉUÁV C¼ÀªÀr¹ C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä F ªÀÄÆ®PÀ ªÀÄAdÆgÁw ¤ÃqÀ ÁVzÉ.

8. C£ÀÄ§AzsÀ – 3 & 4gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À°è C¢ü¸ÀÆa¸À ÁzÀ É¼ÉUÀ½UÉ ªÉÄÃ¯É w½¹gÀÄªÀ ¥ÀæPÀÈw «PÉÆÃ¥À¢AzÀ GAmÁUÀÄªÀ £ÀµÀÖzÀ ¤zsÀðgÀuÉAiÀÄ£ÀÄß ªÉÊAiÀÄQÛPÀªÁV ¤zsÀðj¹ ¨É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß EvÀåxÀð¥Àr¸ÀÄªÀÅzÀÄ.

9. EAvÀºÀ ¸ÀÞ½ÃAiÀÄ UÀAqÁAvÀgÀUÀ¼À PÁgÀt¢AzÀ ¨É¼É £ÀµÀÖ ¸ÀA sÀ«¹zÀgÉ, «ªÉÄ ªÀiÁr¹gÀÄªÀ gÉÊvÀgÀÄ F §UÉÎ ÀA§AzsÀ¥ÀlÖ ºÀtPÁ¸ÀÄ ¸ÀA¸ÉÞ CxÀªÁ CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ°., ÉAUÀ¼ÀÆgÀÄ F PÀbÉÃjUÀ½UÉ vÀPÀët ¸ÀÆZÀ£É ¤ÃqÀ ÉÃPÀÄ ªÀÄvÀÄÛ AiÀiÁªÀÅzÉÃ ¸ÀAzÀ sÀðzÀ°è «ªÉÄ ªÀiÁr¹zÀ ¨É¼ÉAiÀÄ «ªÀgÀUÀ¼À£ÀÄß, ºÁ¤AiÀÄ ªÁå¦Û ºÁUÀÆ ºÁ¤UÉ PÁgÀtUÀ¼À£ÀÄß 48 UÀAmÉUÀ¼ÉÆ¼ÀUÁV w½¸À ÉÃPÀÄ. £ÀµÀÖzÀ §UÉV£À ªÀiÁ»wAiÀÄ£ÀÄß ¹éÃPÀj¹zÀ ªÉÄÃ¯É CVæPÀ®ÑgÀ¯ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ÉAUÀ¼ÀÆgÀÄ EªÀgÀÄ É¼É £ÀµÀÖªÀ£ÀÄß ¤zsÀðj¸ÀÄªÀÅzÀPÉÌ £ÀµÀÖ ¤zsÁðgÀPÀgÀ£ÀÄß ¸ÀA§AzsÀ¥ÀlÖ ¥ÀæzÉÃ±ÀPÉÌ

¤AiÉÆÃf¸À ÉÃPÀÄ. f¯Áè PÀAzÁAiÀÄ DqÀ½vÀªÀÅ÷ É¼É £ÀµÀÖzÀ ¥ÀæªÀiÁtªÀ£ÀÄß ¤zsÀðj¸ÀÄªÀ°è CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ¨ÉAUÀ¼ÀÆgÀÄ EªÀjUÉ £ÉgÀªÀÅ÷¤ÃqÀvÀPÀÌzÀÄÝ.

294

10. F AiÉÆÃd£ÉUÉ M¼À¥ÀqÀÄªÀ ««zsÀ É¼ÉUÀ½UÉ ¨É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ ¨ÁåAPÀÄUÀ½UÉ WÉÆÃµÀuÉUÀ¼À£ÀÄß ¸À°è¸À®Ä ¤UÀ¢¥Àr¹gÀÄªÀ CAwªÀÄ ¢£ÁAPÀ F PÉ¼ÀPÀAqÀAwzÉ.

C) »AUÁgÀÄ ºÀAUÁ«ÄUÉ : 31-12-2015

D) ¨ÉÃ¹UÉ ºÀAUÁ«ÄUÉ : 29-02–2016

11. É¼É ¸Á® ¥ÀqÉzÀ gÉÊvÀjUÉ 2015-16gÀ »AUÁgÀÄ ºÀAUÁ«ÄUÉ ¢£ÁAPÀ:01-10-2015 jAzÀ ¢£ÁAPÀ:31-12-2015gÉÆ¼ÀUÉ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«ÄUÉ ¢£ÁAPÀ:01-01-2016 jAzÀ ¢£ÁAPÀ:31-03-2016gÉÆ¼ÀUÉ É¼É ¸Á® «vÀj¸À ÁVzÀÝgÉ CAvÀºÀ gÉÊvÀgÀ£ÀÄß PÀqÁØAiÀÄªÁV AiÉÆÃd£ÉAiÀÄrAiÀÄ°è M¼À¥Àr¸ÀvÀPÀÌzÀÄÝ. É¼É ¸Á®zÀ ªÉÆvÀÛPÉÌ gÉÊvÀgÀ «ªÀiÁ PÀAvÀ£ÀÄß ºÉZÀÄÑªÀjAiÀiÁV ªÀÄAdÆgÀÄ ªÀiÁqÀvÀPÀÌzÀÄÝ.

12. 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«ÄUÉ EZÉÒAiÀÄÄ¼Àî É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ AiÉÆÃd£ÉAiÀÄr ¨sÁUÀªÀ»¸À®Ä PÉÆ£ÉAiÀÄ ¢£ÁAPÀ:31-12-2015 ºÁUÀÆ ¨ÉÃ¹UÉ ºÀAUÁ«ÄUÉ ¢£ÁAPÀ:29-02-2016 DVgÀÄvÀÛzÉ. F AiÉÆÃd£ÉAiÀÄrAiÀÄ°è É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ É¼É ©wÛzÀ/£Án ªÀiÁrzÀ £ÀAvÀgÀ 30 ¢ªÀ ÀzÉÆ¼ÀUÉ CxÀªÁ ªÉÄÃ¯É ¤UÀ¢ü¥Àr¹zÀ

¢£ÁAPÀzÉÆ¼ÀUÉ AiÀiÁªÀÅzÀÄ ªÀÄÄAZÉAiÉÆÃ D CªÀ¢üAiÉÆ¼ÀUÉ ¨ÁåAQUÉ WÉÆÃµÀuÉUÀ¼À£ÀÄß ¸À°è¸ÀvÀPÀÌzÀÄÝ. ªÉÄÃ¯É ¤UÀ¢ü¥Àr¹zÀ ¢£ÁAPÀzÀ £ÀAvÀgÀ ¸À°è¹zÀ CfðUÀ¼À£ÀÄß wgÀ ÀÌj¸ÀÄªÀÅzÀÄ. É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ CfðAiÉÆA¢UÉ sÀÆ«Ä ºÉÆA¢gÀÄªÀÅzÀPÉÌ zÁR¯ÉUÀ¼ÁzÀ

¥ÀºÀtÂ / SÁvÉ / ¥Á¸ï ¥ÀÄ¸ÀÛPÀ / PÀAzÁAiÀÄ gÀ²Ã¢AiÀÄ£ÀÄß ¤ÃqÀvÀPÀÌzÀÄÝ.

13. ¥Àæ¸ÀPÀÛ ªÀiÁºÉAiÀÄ°è «ªÉÄ ªÀiÁr¹zÀ J¯Áè ( É¼É ¸Á® ¥ÀqÉzÀ ºÁUÀÆ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ) gÉÊvÀgÀ ¥Àæ¸ÁÛªÀ£ÉUÀ¼À£ÀÄß ªÀÄÄA¢£À ªÀiÁºÉAiÀÄ CAvÀåzÉÆ¼ÀUÉ £ÉÆÃqÀ ï ¨ÁåAPÀÄUÀ¼ÀÄ «ªÀiÁ ¸ÀA¸ÉÞUÉ ¸À°è¸ÀvÀPÀÌzÀÄÝ. CAwªÀÄªÁV ¥Àæ¸ÁÛªÀ£ÉUÀ¼À£ÀÄß «ªÀiÁ ¸ÀA¸ÉÞUÉ ¤ÃqÀ®Ä »AUÁgÀÄ ºÀAUÁ«ÄUÉ PÉÆ£ÉAiÀÄ ¢£ÁAPÀ: 31-01-2016 ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«ÄUÉ ¢£ÁAPÀ: 30-04-2016 DVgÀÄvÀÛzÉ. AiÀiÁªÀÅzÁzÀgÀÆ DyðPÀ ¸ÀA¸ÉÞUÀ¼ÀÄ PÉÆ£ÉAiÀÄ ¢£ÁAPÀzÉÆ¼ÀUÉ CAwªÀÄ ¥Àæ¸ÁÛªÀ£ÉUÀ¼À£ÀÄß «ªÀiÁ ¸ÀA¸ÉÞUÉ ¸À°è¸À¢zÀÝgÉ CzÀgÀ dªÁ¨ÁÝj ¸ÀA§A¢ü¹zÀ DyðPÀ ¸ÀA¸ÉÞUÀ¼ÀzÉÝÃ DVgÀÄvÀÛzÉ.

14. ¨ÁåAPÀÄUÀ¼ÀÄ C¢üPÀÈvÀªÁV ¥Àæ¸ÁÛªÀ£ÉAiÀÄ£ÀÄß «ªÉÄ ªÀiÁr¹zÀ gÉÊvÀgÀ «ªÀgÀUÀ¼ÉÆA¢UÉ «ªÀiÁ ¸ÀA¸ÉÜUÉ ¤UÀ¢vÀ £ÀªÀÄÆ£É (C£ÀÄ§AzsÀ-5gÀAvÉ) AiÀÄ°è ¸À°è¸ÀÄªÀÅzÀÄ. ¨ÁåAPÀÄUÀ¼ÀÄ ¤UÀ¢üvÀ £ÀªÀÄÆ£ÉAiÀÄ°è gÉÊvÀgÀ «ªÀgÀUÀ¼À£ÀÄß «ªÀiÁ ¸ÀA¸ÉÜUÉ ¤ÃqÀÄªÀªÀgÉUÀÆ É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀ ªÀÄvÀÄÛ §ÁåAPÀÄUÀ½UÉ ¤ÃqÀ§ÉÃPÁVgÀÄªÀ ¸ÉÃªÁ±ÀÄ®ÌªÀ£ÀÄß ©qÀÄUÀqÉ ªÀiÁqÀvÀPÀÌzÀÝ®è.

15. ¨ÁåAPÀÄUÀ½UÉ «ªÀiÁ ¸ÀA¸ÉÜAiÀÄÄ gÉÊvÀgÀ «ªÀiÁ PÀAw£À ªÉÆvÀÛzÀ°è ±ÉÃ. 2.50 gÀµÀÄÖ ¸ÉÃªÁ ±ÀÄ®ÌªÀ£ÀÄß ¤ÃqÀvÀPÀÌzÀÄÝ.

16. PÀÈ¶ E¯ÁSÉ¬ÄAzÀ C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ AiÀiÁªÀÅzÉÃ AiÉÆÃd£ÉAiÀÄ ¥sÀ Á£ÀÄ¨sÀ« gÉÊvÀgÀÄ ( É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀgÀÄ) CAzÁdÄ É¼É ©vÀÛ£É DzsÁgÀzÀ ªÉÄÃ¯É ©vÀÛ£É ¥ÀÆªÀðzÀ Éè ¥Á¯ÉÆÎ¼Àî§ºÀÄzÀÄ. ¸ÀzÀj ºÉÆÃ§½/vÁ®ÆèPÀÄ ªÁå¦ÛAiÀÄ E¯ÁSÉ C¢üPÁj¬ÄAzÀ ¨É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄ CfðAiÀÄ£ÀÄß zÀÈrÃPÀj¹, d«ÄÃ£ÀÄ ºÉÆA¢gÀÄªÀ zÁR¯ÉUÁV ¥ÀºÀtÂAiÀÄ£ÀÄß ¤Ãr ¨ÁåAQ£À°è «ªÀiÁ PÀAvÀÄ PÀnÖ CfðAiÀÄ£ÀÄß ¸À°è ÀvÀPÀÌzÀÄÝ. ¨É¼É «ªÉÄUÉ £ÉÆAzÁ¬Ä¹zÀ £ÀAvÀgÀ ÉÃgÉ É¼É ©vÀÛ£É ªÀiÁrzÀ°è ©vÀÛ£ÉAiÀiÁzÀ 30 ¢ªÀ ÀzÉÆ¼ÀUÉ

295

CxÀªÁ £ÉÆAzÁ¬Ä¸À®Ä ¤UÀ¢¥Àr¹zÀ PÉÆ£ÉAiÀÄ ¢£ÁAPÀzÉÆ¼ÀUÉ (AiÀiÁªÀÅzÀÄ ªÉÆzÀ ÉÆÃ CzÀÄ) £ÉÆAzÁ¬Ä¹zÀ DyðPÀ ¸ÀA¸ÉÞUÀ¼À°è ©vÀÛ£É zÀÈrüÃPÀgÀt ¤Ãr «ªÉÄ ªÀiÁr¹zÀ É¼ÉAiÀÄ£ÀÄß §zÀ Á¬Ä¸ÀvÀPÀÌzÀÄÝ ºÁUÀÆ CAvÀºÀ ¸ÀAzÀ sÀðzÀ°è ºÉZÀÄÑªÀj «ªÀiÁ PÀAw£À

ªÀåvÁå¸ÀzÀ ªÉÆvÀÛªÀ£ÀÄß gÉÊvÀgÀÄ sÀj¸ÀvÀPÀÌzÀÄÝ.

17. É¼É ¸Á® ¥ÀqÉAiÀÄÄªÀ gÉÊvÀgÀÄ CªÀgÀÄ ¥ÀqÉAiÀÄÄªÀ ¸Á®zÀ ªÉÆvÀÛQÌAvÀ ºÉaÑ£À ªÉÆvÀÛPÉÌ CAzÀgÉ, ¥ÁægÀA©üPÀ E¼ÀÄªÀjAiÀÄ «ªÀiÁ ªÉÆvÀÛzÀªÀgÉ«UÀÆ «ªÉÄ ªÀiÁr¸À ÉÃPÉA¢zÀÝgÉ ¸Àé EZÉÒ¬ÄAzÀ «ªÀiÁ PÀAvÀ£ÀÄß ¥ÁªÀw¹ É¼É ¸Á® ¥ÀqÉAiÀÄzÀ gÉÊvÀjUÉ ªÉÄÃ°£ÀAvÉ ¤UÀ¢ü¥Àr¹zÀ ¢£ÁAPÀzÉÆ¼ÀUÉ AiÉÆÃd£ÉAiÀÄrAiÀÄ°è ¥Á¯ÉÆÎ¼ÀîvÀPÀÌzÀÄÝ.

18. gÁ¶ÖçÃAiÀÄ PÀÈ¶ «ªÀiÁ AiÉÆÃd£ÉAiÀÄr ¸ÀtÚ ªÀÄvÀÄÛ Cw ¸ÀtÚ gÉÊvÀjUÉ «ªÀiÁ PÀAw£À ªÉÄÃ¯É ±ÉÃPÀqÀ 10gÀ ¸ÀºÁAiÀÄzsÀ£ÀªÀ£ÀÄß ¤ÃqÀvÀPÀÌzÀÄÝ.

19. É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄr M¼À¥ÀqÀÄªÀ ¥Àj²µÀÖ eÁw ªÀÄvÀÄÛ ¥Àj²µÀÖ ¥ÀAUÀqÀUÀ¼À J¯Áè gÉÊvÀjUÉ «ªÀiÁ PÀAw£À°è ±ÉÃ.90gÀµÀÄÖ jAiÀiÁ¬ÄwAiÀÄ£ÀÄß ¤ÃqÀ®Ä ºÁUÀÆ ¸ÀzÀj ªÉÆvÀÛªÀ£ÀÄß PÀÈ¶ E¯ÁSÉAiÀÄ°è C£ÀÄµÁ×£ÀUÉÆ½¸À ÁUÀÄªÀ «±ÉÃµÀ WÀlPÀ / Vjd£À G¥ÀAiÉÆÃd£ÉAiÀÄr (SCP /TSP) ® sÀå«gÀÄªÀ C£ÀÄzsÁ£ÀzÀ°è sÀj¸ÀvÀPÀÌzÀÄÝ. F jAiÀiÁ¬ÄwAiÀÄ°è ¸ÀtÚ ªÀÄvÀÄÛ Cw ¸ÀtÚ gÉÊvÀjUÉ gÁdå ¸ÀPÁðgÀzÀ ªÀw¬ÄAzÀ ¤ÃqÀ ÁUÀÄªÀ ±ÉÃ.5.00gÀ ¸ÀºÁAiÀÄzsÀ£ÀªÀÇ ¸ÀºÀ ¸ÉÃjgÀÄvÀÛzÉ.

20. ¸ÁªÀiÁ£Àå É¼É CAzÁdÄ ¸À«ÄÃPÉëAiÀÄr gÁdå ¸ÀPÁðgÀªÀÅ÷ £ÀqÉ ÀÄªÀ É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À DzsÁgÀzÀ ªÉÄÃ¯É PÀAqÀÄ»rAiÀÄ¯ÁzÀ E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß ªÀiÁvÀæ ¥ÀjUÀtÂ¹ É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß ¯ÉPÀÌºÁQ EvÀåxÀð¥Àr¸ÀvÀPÀÌzÀÄÝ. EvÀgÉ E¼ÀÄªÀj CAzÁdÄ ªÀiÁqÀÄªÀAvÀºÀ «zsÁ£ÀUÀ¼ÁzÀ DuÉªÁj CxÀªÁ gÁdå ¸ÀPÁðgÀªÀÅ÷ CxÀªÁ AiÀiÁªÀÅzÉÃ E¯ÁSÉ CxÀªÁ ¸ÀA¸ÉÞ, PÁëªÀÄ, §gÀ, ¥ÀæªÁºÀ JAzÀÄ WÉÆÃ¶¹ E¼ÀÄªÀj £ÀµÀÖªÀ£ÀÄß CAzÁdÄ ªÀiÁqÀÄªÀ ªÀiÁ»wAiÀÄ£ÀÄß F AiÉÆÃd£ÉAiÀÄr É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß ¯ÉPÀÌºÁPÀ®Ä ¥ÀjUÀtÂ ÀvÀPÀÌzÀÝ®è.

21. ¤zÉðÃ±ÀPÀgÀÄ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉ, EªÀgÀÄ C¢ü¸ÀÆavÀ É¼ÉUÀ½UÉ ºÉÆÃ§½ªÁgÀÄ ¨É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß £ÀqÉ¸À®Ä É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À AiÉÆÃd£É ºÁUÀÆ ªÀÄÆ® PÁAiÀÄðPÀvÀðgÀÄUÀ½UÉ vÀgÀ ÉÃwAiÀÄ ¸ÀÆPÀÛ ªÀåªÀ ÉÞ ªÀiÁqÀvÀPÀÌzÀÄÝ ºÁUÀÆ AiÀiÁªÀÅzÁzÀgÀÆ ºÉÆÃ§½AiÀÄ°è MAzÀQÌAvÀ ºÉaÑ£À PÀÈ¶ ºÀªÁªÀiÁ£À ªÀ®AiÀÄUÀ¼ÀÄ PÀAqÀÄ§AzÀ°è, D ºÉÆÃ§½AiÀÄ°è PÀÈ¶ ºÀªÁªÀiÁ£À ªÀ®AiÀÄUÀ¼ÀÄ ºÉÆA¢gÀvÀPÀÌ PÉëÃvÀæPÉÌ C£ÀÄUÀÄtªÁV ¨É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß ¤UÀ¢ü¥Àr¸ÀvÀPÀÌzÀÄÝ. É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼À £ÀAvÀgÀ 2015gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«Ä£À J¯Áè É¼ÉUÀ¼À É¼É E¼ÀÄªÀj ªÀiÁ»w ºÁUÀÆ É¼É «¹ÛÃtð ªÀiÁ»wAiÀÄ£ÀÄß É¼ÉªÁgÀÄ É¼É PÀmÁªÀÅ÷ ¥ÀæAiÉÆÃUÀUÀ¼ÀÄ ªÀÄÄVzÀ £ÀAvÀgÀ DVAzÁÝUÉ PÉÆæÃrÃPÀj¹ vÀPÀët «ªÀiÁ ¸ÀA¸ÉÜUÉ ¤ÃqÀÄªÀÅzÀÄ ºÁUÀÆ ¸ÀA¥ÀÆtð ªÀiÁ»wAiÀÄ£ÀÄß ¢£ÁAPÀ: 31-08-2016gÉÆ¼ÀUÉ «ªÀiÁ ¸ÀA¸ÉÞUÉ ¤ÃqÀvÀPÀÌzÀÄÝ.

22. vÁ®ÆèPÀÄªÁgÀÄ ªÀÄÄRå ¨É¼ÉUÀ¼À£ÀÄß UÁæªÀÄ ¥ÀAZÁAiÀÄw ªÀÄlÖzÀ°è C¢ü¸ÀÆa¸À ÉÃPÁzÀgÉ D É¼ÉAiÀÄ «¹ÛÃtð PÀ¤µÀ× 75 ºÉPÉÖÃgï EgÀ ÉÃPÀÄ. 75 ºÉPÉÖÃgï VAvÀ PÀrªÉÄ EgÀÄªÀ UÁæªÀÄ

296

¥ÀAZÁAiÀÄwUÀ¼À gÉÊvÀjUÉ F AiÉÆÃd£ÉAiÀÄ ¸Ë® sÀåªÀ£ÀÄß zÉÆgÀQ¹PÉÆqÀÄªÀ GzÉÝÃ±À¢AzÀ JgÀqÀÄ CxÀªÁ ªÀÄÆgÀÄ UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼À£ÀÄß MUÀÆÎr¹ (PÀ¤µÀÖ 50 ºÉPÉÖÃgï-DªÀgÀtzÀ°è ¸ÉÃj¸À ÁVzÉ), Cw ºÉZÀÄÑ «¹ÛÃtð ºÉÆA¢gÀÄªÀ MAzÀÄ UÁæªÀÄ ¥ÀAZÁAiÀÄwAiÀÄ£ÀÄß «ªÀiÁ WÀlPÀ JAzÀÄ ¥ÀjUÀtÂ¹ C¢ü¸ÀÆa¸À ÁUÀÄwÛzÀÄÝ, É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß EvÀåxÀð¥Àr¸ÀÄªÀ ¸ÀAzÀ sÀðzÀ°è C¢ü¸ÀÆavÀ «ªÀiÁ WÀlPÀzÀ (C£ÀÄ§AzsÀ-3gÀAvÉ) E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß (50 ºÉPÉÖÃgïVAvÀ PÀrªÉÄ «¹ÛÃtð EgÀÄªÀ J¯Áè UÁæªÀÄ ¥ÀAZÁAiÀÄwUÀ¼ÀÄ ¥Àæw¤¢ü¸ÀÄªÀAvÉ É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼À£ÀÄß £ÀqÉ¸ÀvÀPÀÌzÀÄÝ) ¥ÀjUÀtÂ ÀvÀPÀÌzÀÄÝ.

23. PÀAzÁAiÀÄ E¯ÁSÉ C¢ü¸ÀÆZÀ£É ¸ÀASÉå: RD 23/ELR 2004; ¢£ÁAPÀ: 6-5-2005gÀ£ÀéAiÀÄ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«ÄUÉ ««zsÀ ºÀAvÀUÀ¼À°è É¼É «¹ÛÃtð ªÀiÁ»w ¸À°è¸ÀÄªÀ ªÉÃ¼Á¥ÀnÖ F PÉ¼ÀV£ÀAwgÀÄvÀÛzÉ.

Season

Submission of

VCS-II by VA

to Tahsildars

Submission of

VPCS & HCS by

RI to Tahsildars

Forwardal of TCS-VP,

TCS-H & TCS-CA by

Tahsildar to DSO

Submission of DCS-

VP, DCS-H & DCS-

CA by DSO to DES

Kharif 20th October 30th October 15th November 30th November

Rabi 10th February 20th February 1st March 10th March

Summer 10th May 15th May 20th May 25th May

(VCS: Village Crop Area Statistics , VCS-II: Abstract of Village Crop Area Statistics,

VPCS:Village Panchayathwise Crop Area Statistics

HCS: Hobli Crop Area Statistics

TCS-TP: Village Panchayathwise Taluk Abstract of Crop Area Statistics

TCS-H: Hobliwise Taluk Abstract of Crop Area Statistics

TCS-CA: Taluk Abstract of Crop Area Statistics

DCS-VP: Village Panchayathwise, Talukwise District Crop Area Statistics

DCS-H: Hobliwise, Talukwise District Crop Area Statistics

DCS-CA: Cropwise District Crop Area Statistics)

PÀÈ¶ E¯ÁSÉ, PÀAzÁAiÀÄ E¯ÁSÉ ªÀÄvÀÄÛ DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉAiÀÄ ¸ÀA§AzsÀ¥ÀlÖ C¢üPÁjUÀ¼ÀÄ F ªÉÃ¼Á¥ÀnÖAiÀÄAvÉ ªÀiÁ»w MzÀV¸ÀÄªÀÅzÀÄ.

24. ¤zÉÃð±ÀPÀgÀÄ, DyðPÀ ªÀÄvÀÄÛ ¸ÁATåPÀ E¯ÁSÉgÀªÀgÀÄ 2015-16gÀ »AUÁgÀÄ ºÀAUÁ«Ä£À J¯Áè É¼ÉUÀ¼À E¼ÀÄªÀj ªÀiÁ»wAiÀÄ£ÀÄß ºÁUÀÆ ©vÀÛ£É PÉëÃvÀæzÀ «ªÀgÀUÀ¼À£ÀÄß ¢£ÁAPÀ: 31-07-2016gÉÆ¼ÀUÉ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁ«ÄUÉ ¢£ÁAPÀ:31-08-2016gÉÆ¼ÀUÉ «ªÀiÁ ¸ÀA¸ÉÞUÉ PÀqÁØAiÀÄªÁV ¤ÃqÀvÀPÀÌzÀÄÝ.

25. «ªÀiÁ ¸ÀA¸ÉÞAiÀÄÄ CAwªÀÄªÁV É¼É «ªÀiÁ £ÀµÀÖ ¥ÀjºÁgÀªÀ£ÀÄß «ªÉÄ ªÀiÁr¹zÀ gÉÊvÀjUÉ ¢£ÁAPÀ: 31-10-2016gÉÆ¼ÀUÉ EvÀåxÀð¥Àr¸ÀvÀPÀÌzÀÄÝ.

297

26. PÀÈ¶, PÀAzÁAiÀÄ ªÀÄvÀÄÛ ¸ÀA§AzsÀ¥ÀlÖ E¯ÁSÉUÀ¼ÀÄ ºÁUÀÆ ¸ÀA§A¢ü¹zÀ DyðPÀ ¸ÀA¸ÉÜUÀ¼ÀÄ AiÉÆÃd£ÉAiÀÄ£ÀÄß C£ÀÄµÁ×£ÀUÉÆ½¸À®Ä «ªÀiÁ ¸ÀA¸ÉÞAiÀÄÄ PÉÊUÉÆ¼ÀÄîªÀ ¥ÀæZÁgÀ, ¥ÀæPÀluÉ ªÀÄvÀÄÛ vÀgÀ ÉÃw ¤ÃqÀÄªÀ°è ¸ÀºÀPÁgÀ ¤ÃqÀ ÉÃPÀÄ.

27. PÀÈ¶ E¯ÁSÉ, PÀAzÁAiÀÄ E¯ÁSÉ, ¸ÀºÀPÁgÀ E¯ÁSÉ ºÁUÀÆ ¸ÀA§AzsÀ¥ÀlÖ E¯ÁSÉUÀ¼ÀÄ 2015-16gÀ »AUÁgÀÄ ªÀÄvÀÄÛ ÉÃ¹UÉ ºÀAUÁªÀÄÄUÀ¼À°è C¢ü¸ÀÆa¹gÀÄªÀ É¼ÉUÀ¼ÀÄ ªÀÄvÀÄÛ WÀlPÀUÀ¼À §UÉÎ ¨ÁåAPÀÄUÀ¼À, gÉÊvÀ ¸ÀA¥ÀPÀð PÉÃAzÀæUÀ¼À ªÀÄvÀÄÛ UÁæªÀÄ ¥ÀAZÁAiÀÄw PÀbÉÃjUÀ¼À ¸ÀÆZÀ£Á ¥sÀ®PÀUÀ¼À ªÉÄÃ¯É ¥ÀæPÀn¹ ªÁå¥ÀPÀ ¥ÀæZÁgÀ PÉÊUÉÆ¼Àî®Ä ÀÆa¹zÉ.

28. ªÁvÁð ªÀÄvÀÄÛ ¥ÀæZÁgÀ E¯ÁSÉ J¯Áè ªÀiÁzsÀåªÀÄUÀ¼À ªÀÄÆ®PÀ ºÁUÀÆ ªÉÆ ÉÊ¯ï ªÁå£ïUÀ¼À ªÀÄÆ®PÀ J¯Áè f¯ÉèUÀ¼À°è ªÁå¥ÀPÀ ¥ÀæZÁgÀ PÉÊUÉÆ¼ÀÄîªÀÅzÀÄ,

29. C£ÀÄµÁ×£À ¸ÀA¸ÉÞAiÀÄÄ CªÀ±ÀåPÀvÉ EzÀÝ°è, ¸ÀéAvÀ CxÀªÁ EvÀgÉ ¸ÀA¸ÉÜUÀ¼À ªÀÄÆ®PÀ «ªÉÄ ªÀiÁr¹zÀ ©vÀÛ£É PÉëÃvÀæ ªÀÄvÀÄÛ É¼ÉUÀ¼À ¥Àj¹ÜwAiÀÄ §UÉÎ vÀ¤SÉ PÉÊUÉÆ¼Àî§ºÀÄzÀÄ. F vÀ¤SÉUÉ G¥ÀUÀæºÀ DzsÁjvÀ ªÀiÁ»wAiÀÄ£ÀÄß §¼À¹PÉÆ¼Àî§ºÀÄzÀÄ.

30. AiÉÆÃd£ÉAiÀÄ£ÀÄß ¥ÀjuÁªÀÄPÁjAiÀiÁV C£ÀÄµÁ×£ÀUÉÆ½¸ÀÄªÀ°è C£ÀÄµÁ×£À ¸ÀA¸ÉÞAiÀiÁzÀ CVæPÀ®ÑgÀ ï E£ÀÆìgÉ£ïì PÀA¥À¤ D¥sï EArAiÀiÁ °., ÉAUÀ¼ÀÆgÀÄ, EªÀgÀÄ É¼É «ªÀiÁ AiÉÆÃd£ÉAiÀÄ°è sÁUÀªÀ»¸À°gÀÄªÀ ««zsÀ ¸ÀA¸ÉÞUÀ¼À eÉÆvÉAiÀÄ°è ¸ÀªÀÄ£ÀéAiÀÄ ¤ÃqÀvÀPÀÌzÀÄÝ.

PÀ£ÁðlPÀ gÁdå¥Á®gÀ DeÁÕ£ÀÄ¸ÁgÀ ªÀÄvÀÄÛ CªÀgÀ ºÉ Àj£À°è

(Dgï.J¸ï.²ªÀPÀÄªÀiÁgï)

¸ÀPÁðgÀzÀ C¢üÃ£À PÁAiÀÄðzÀ²ð, PÀÈ¶ E¯ÁSÉ(AiÉÆÃd£É)

298

The following insurance companies are involved in crop insurance scheme:

1. AIC- Agriculture Insurance Company of India limited.

Karnataka Regional Manager,

Agriculture Insurance Company of India Limited,

3rd floor, Karnataka Pradesh Krishika Samaja Complex,

No.18, Nrupatunga Road, Bangalore-560 001.

2. ICICI Lombard general Insurance Company Limited.

3. HDFC Agro General Insurance Company Limited.

4. IFFCO Tokyo General Insurance Company Limited.

Govt. Press, Vikasa Soudha Unit, Bengaluru. W.D. 12 / P5

É¼É CAzÁdÄ À«ÄÃPÉëAiÀÄrAiÀÄ°è PÉÃAzÀæ PÀbÉÃjUÉ PÀ¼ÀÄ» À ÉÃPÁUÀÄªÀ ªÀgÀ¢/ªÀiÁ»w/£ÀªÀÄÆ£ÉUÀ¼À ¤UÀ¢vÀ ªÉÃ¼Á¥ÀnÖ - »AUÁgÀÄ / ÉÃ¹UÉ

PÀæ. ÀA ªÀgÀ¢ / ªÀiÁ»w / £ÀªÀÄÆ£ÉUÀ¼ÀÄ ¤UÀ¢vÀ ¢£ÁAPÀ

1 CAwªÀÄªÁV Dj¹gÀÄªÀ ºÀ½îUÀ¼À AiÉÆÃd£Á¥ÀnÖ £ÀªÀÄÆ£É-4 10£ÉÃ d£ÀªÀj

2 É¼ÉªÁgÀÄ ªÀÄvÀÄÛ ºÀÄzÉÝªÁgÀÄ ªÀÄÆ®

PÁAiÀÄðPÀvÀðjUÉ ºÀAaPÉAiÀiÁVgÀÄªÀ ¥ÀæAiÉÆÃUÀUÀ¼À «ªÀgÀ

£ÀªÀÄÆ£É-7 10£ÉÃ d£ÀªÀj

3 ªÀÄÆ® PÁAiÀÄðPÀvÀðgÀ PÁAiÀÄð sÁgÀzÀ «ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-9

4 ªÀiÁ¹PÀ ¥ÀæUÀwAiÀÄ ªÀgÀ¢UÀ¼ÀÄ £ÀªÀÄÆ£É-11

»AUÁgÀÄ d£ÀªÀj, ¥sÉ§æªÀj, ªÀiÁZïð

wAUÀ¼À ªÀgÀ¢UÀ¼ÀÄ vÀgÀÄªÁAiÀÄzÀ wAUÀ¼À 10£ÉÃ vÁjÃT£ÉÆ¼ÀUÉ

ÉÃ¹UÉ K¦æ¯ï, ªÉÄÃ, dÆ£ï wAUÀ¼À

ªÀgÀ¢UÀ¼ÀÄ vÀgÀÄªÁAiÀÄzÀ wAUÀ¼À 10£ÉÃ vÁjÃT£ÉÆ¼ÀUÉ

5 ªÉÄÃ°éZÁgÀuÁ ªÀgÀ¢UÀ¼ÀÄ £ÀªÀÄÆ£É-13 »AUÁgÀÄ 30£ÉÃ dÆ£ï

ÉÃ¹UÉ 31£ÉÃ DUÀ ïÖ

6 ±ÀÄµÀÌ ¥ÀæAiÉÆÃUÀUÀ¼À «ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-14 »AUÁgÀÄ 30£ÉÃ dÆ£ï

ÉÃ¹UÉ 31£ÉÃ DUÀ ïÖ

7 É¼É PÀmÁªÀÅ ¥ÀæAiÉÆÃUÀUÀ¼ÀÄ

£ÀµÀÖUÉÆArgÀÄªÀ §UÉÎ «ªÀgÀUÀ¼ÀÄ £ÀªÀÄÆ£É-15

»AUÁgÀÄ 30£ÉÃ dÆ£ï ÉÃ¹UÉ 31£ÉÃ DUÀ ïÖ

8 sÀwð ªÀiÁrzÀ É.CA.¸À. £ÀªÀÄÆ£ÉUÀ¼ÀÄ (£ÀªÀÄÆ£É-2 ªÀÄvÀÄÛ £ÀªÀÄÆ£É-3):

»AUÁgÀÄ

gÁV, GzÀÄÝ, ºÉ ÀgÀÄ ªÀÄvÀÄÛ D®ÆUÉqÉØ 31£ÉÃ ªÀiÁZïð eÉÆÃ¼À, ªÉÄPÉÌeÉÆÃ¼À, UÉÆÃ¢ü, PÀqÀ É, CUÀ É, ºÀÄgÀÄ½, CªÀgÉ, C®¸ÀAzÉ, ±ÉÃAUÁ, ¸ÀÆAiÀÄðPÁAw ªÀÄvÀÄÛ PÀÄ ÀÄ É

30£ÉÃ K¦æ¯ï

sÀvÀÛ, ªÉÄt¹£ÀPÁ¬Ä ªÀÄvÀÄÛ FgÀÄ½î 30£ÉÃ ªÉÄÃ ÉÃ¹UÉ J¯Áè É¼ÉUÀ¼ÀÄ 15£ÉÃ dÄ¯ÉÊ

Documents

AGRICULTURE RELATED TOPICS Volume-III-Print.pdf · The Cadre and Recruitment Rules of Directorate of Economics & Statistics provide ... As such the topics such as the Statistical