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The Optimal Farmland Scale of Section for Effective
Use of an Agricultural Machine in Rice Farming -
Focusing On Tractor, Rice-Planting Machine, Combine -
Changhwan Kim1 and Jongsang Lee2*
1, 2Faculty of Regional Development, Kongju Nat’l University
54Daehankro, Yesaneup, Yesangun, Chungnam, Korea [email protected], 2*[email protected]
Abstract. The purpose of this study is finding the optimal farmland scale of
section for effective use of an agricultural machine in rice farming. Using linear
programming, we visited a complex farming family in Seosan Country, Chung-
nam and examined it focusing on tractor, rice-planting machine, combine. After
analyzing current state of farm machine and farm land arrangement process, we
examined the problems and profit structure of farms with small farms and large
farms. In consequence, we emphasized the necessity of readjustment of arable
land and searched for ways to increase farmer's profit and improve competi-
tiveness, because agricultural competitiveness and profitability are significantly
increased by liquidating farm land.
Keywords: Land readjustment, Agricultural mechanicization, Compartment
scale, linear programing
1 Introduction
The opening of the rural environment has already begun with the establishment of the
WTO, the conclusion of FTA, and GATT. Although the government pushed for large-
scale investments and loans in agriculture and rural areas three times between the
1990s and 20 or so years, the agricultural and rural areas have not significantly im-
proved (Ministry of Agriculture and Forestry, 2015).
Therefore, to maximize the profit and competitiveness of farmers in the current
farming business environment, this research conducted a linear farm inspection by
using the analysis method of the appropriate size of rice farming and other non-
cushion farm products together.
* Corresponding Author
Advanced Science and Technology Letters Vol.150 (AST 2018), pp.256-261
http://dx.doi.org/10.14257/astl.2018.150.59
ISSN: 2287-1233 ASTL Copyright © 2018 SERSC
2 Theoretical Consideration
2.1 The Process of Land Improvement and the Present Situation
The term ‘land readjustment’ is generally used, but it was defined as ‘a change in
compartmental paramation’ or ‘readjustment of land’ according to the Act on Read-
justment of the Ministry of Agriculture and the Government in early 1970s.
2.2 Changes and Situation of Farm Machinery System
Statistics by the National Statistical Office on the status of farm machinery and
equipment machinisation in the total survey of agricultural machinery and fisheries,
among which the current census is carried out on the basis of the National Statistical
Office on December 1, the Survey on farm machinery use by the city, county, and
county, and district governments, and corporations
The development stage of agricultural machinery can be divided into the small ma-
chine stage and the large machine stage, and the characteristics by stage are as shown
in Table 1.
Table 1. Characteristics of Development Stages of Agricultural Machinery
Sortation Agricultural
implements
phase
Small-scale
Agricultural
implements
phase
Large-scale
Agricultural
implements phase
Advanced Agri-
cultural machin-
ery phase
Mechanized
personality
Labor force Labor substitu-
tion
Labor efficiency Human substitu-
tion
Way Manpower
support
Labor conven-
ience (replace
human re-
sources)
Work-replacement
(improved produc-
tivity)
Automation,
Robotization
Agricultural
personality
The growth of
labor produc-
tivity
A rise in work-
land productivi-
ty
Worklandcapital
capital
Productivity
growth
Worklandcapital
capital
Productivity
growth
Environment-
friendly agricul-
ture
Precision agricul-
ture
Applied crop Rice cropping Rice cropping,
Farm cropping
Whole crop
Advanced Science and Technology Letters Vol.150 (AST 2018)
Copyright © 2018 SERSC 257
3 Research Methods and Procedures
3.1 Data Collection
Data for the analysis were collected in the following ways: Rice farming outcome is
rice, and besides rice, it was divided into small trees such as ginger, potato, garlic, and
lettuce. In producing rice and non-cushion materials, the annual work schedule re-
quired for farming, average labor input time by job, and the usage time of agricultural
equipment (e.g., the agricultural equipment supply office) were surveyed, and other
available resources and materials were collected in 2015. The average data on labor
input time, performance of farming machines and production costs by agricultural
item were used by the National Statistical Office (2015) and Rural Development Ad-
ministration (2015) to discuss the average size of farming households ’ households ’
ideals and costs. And for actual farmers whose data were to be analyzed for linear
plans, researchers personally visited a farm in Buseok-myeon, Seosan City, Chung-
nam Province, and collected the number of technical fields through field inspection.
Table 2. Farming Status of Analyzed Farmhouse
Gross land area of farm (10a) Crop area (10a) Farm own labour
Rice paddy 102
Farm 46.3
Rice 102
Ginger 10
Potato 23
Garlic 10
Ixeris japonica Thunb 3.3
Man and Wife(Man 1, Wom-
an 1)
3.2 Data Analysis Method
The variables in the purpose of the furtherance of income for farm households sur-
veyed are the units grown by the farmers in 2015, and the profit coefficient per unit
area (1a) shows. The formula for maximizing revenue is set as follows.
MAX = 818,515𝑋1 + 3,826,420𝑋2 + 1,034,377𝑋3 + 1,589,381𝑋4 + 5,750,063𝑋5 +84,705𝑌1 + 69,705𝑌2 + 84,705𝑌3
(X1: Rice, X2: Ginger, X3: Potato, X4: Garlic, X5: Ixeris japonica Thunb, Y1: A tractor rental of 75 horsepower
, Y2: A 50 − horsepower tractor, Y3: Combine lease (The arm before the variable is the coefficient of profit per 1a for each job) All variables
≥ 0)
The input elements needed to produce agricultural products are labour, land, and
capital, but this study assumes no restriction on the procurement of capital and has
established only constraints on land and labor. Rice growing discussion areas were
1020 a, and land constraints were set on fields growing ginger, potatoes, garlic, and
lettuce, which were found to be 463 a. Labor constraints have set a constraint on the
maximum working hours per month / month for that group. In particular, the working
Advanced Science and Technology Letters Vol.150 (AST 2018)
258 Copyright © 2018 SERSC
force was set up with the working conditions for one man and one woman, including
the home work force, during the maximum working hours. The land constraints and
labour restrictions by month start period are as follows
- Land constraint formula: X1(Rice paddy)(≤ 102(10a) X2(Ginger field) + X3(Potato field) + X4(Garlic field)
+ X5(Ixeris japonica Thunb field) ≤ 46.3(10a)
- Labor constraint formula: The beginning of January: 0X1 + 0X2 + 0X3 + 0.2X4 + 0X5 + 0Y1 + 0.2Y2 + 0Y3
+ 0Y4 + 0Y5 + 0Y6 + 0Y7 ≤ 202(10a)
The middle of January: 0X1 + 0X2 + 0X3 + 0.2X4 + 0X5 + 0Y1 + 0.2Y2 + 0Y3 + 0Y4
+ 0Y5 + 0Y6 + 0Y7 ≤ 202(10a)
The latter part of January: 0X1 + 0X2 + 0X3 + 0.2X4 + 0X5 + 0Y1 + 0.2Y2 + 0Y3+ 0Y4 + 0Y5 + 0Y6 + 0Y7 ≤ 202(10a)
· The middle of December: 0X1 + 0X2 + 0X3 + 0.2X4 + 0X5 + 0Y1 + 0.2Y2 + 0Y3 + 0Y4
+ 0Y5 + 0Y6 + 0Y7 ≤ 202(10a) The latter part of December: 0X1 + 0X2 + 0X3 + 0.2X4 + 0X5 + 0Y1 + 0.2Y2 + 0Y3
+ 0Y4 + 0Y5 + 0Y6 + 0Y7 ≤ 202(10a)
Finally, the statistical program used in the analysis was LINGO 15.0.
4 Analysis Results
An analysis of the B Farm, an integrated rice farmer, showed that the variable of the
purpose function was the rice, the plant grown in 2015 by the farmers, and the profit
coefficient was expressed as income per unit area (1a). The equation for purpose is set
as follows.
B Farm generates a total discussion area of 2670a, including own land of 2000a
and rental area of 1970a. The land constraints were set by a steam-style display of the
rice growing rice discussion area at the farmers ’ B.
Table 3. Profit coefficient by composition(unit: won/10a)
Sortation Rice Ginger Potato Garlic Ixeris japon-
ica Thunb
Quantity (kg) 513 1,571 2,499 1,446 607
Unit price
(Krw)
1,931 4,168 781 2,206 14,800
Import on
collection
990,603 6,547,928 1,951,719 3,189,876 8,983,600
operating
costs
171,788 2,721,508 917,342 1,600,495 3,233,537
Earnings 818,815 3,826,420 1,034,377 1,589,381 5,750,063
Advanced Science and Technology Letters Vol.150 (AST 2018)
Copyright © 2018 SERSC 259
Table 4. Agricultural machinery usage status(10a per time)
A farming season
(Number of uses)
Ownership status
(Model specifica-
tion)
10aHourly
(Include Movement Time)
10a Under 10-100a 100a More
Tractor (Cultiva-
tor 2, Rounda-
bout 1)
90-
120Horsepower
0.33 0.23 0.165
Dianger 6 0.24 0.12 0.096
Combine 5 0.3 0.18 0.13
Table 4 shows agricultural machine utilization status (hourly), for example, for an
agricultural equipment reduction by 2.165 hours per day, and for agricultural tractor
(second time of tillage) by reducing the time needed to reduce the time spent using
agricultural machines by 0.165 hours by reducing the answers by 2.165 by reducing
the area to 0.33 %.
The project cost of the land definition (including design costs) is shown in Table 5.
Table 5. Field Business Expenses of Land Registry(Including design fee)
가가 20a 50a 100a
1.693 3.386 7.618 13.544
Statistics are before the abolition of the farmers ' self-rescue as a result of the re-
cent changes in government policies; the revised land tax burden on farmers ' proper-
ties, including the revised land tax rate of 80 % of the government's agricultural poli-
cy, is the total cost of execution of land.
As international agreements help reduce the volume of imported rice and demand
at home, the farmers should continue to be able to carry out a competitive field ad-
justment project that is sustainable.
5 Conclusion and Implication
This study examines the realities of farming villages currently facing difficulties at
home and abroad, analyzed and analyzed the performance of farm sector management
by comparing and analyzing the optimal performance offarm equipment supply and
utilization.
An analysis indicates that the agricultural products can be conveniently distributed
by reducing the time needed for agricultural land use and decreasing the time needed
for agricultural land use by continuous production of rice with a size of more than
5,000 pyeong.
In the current farming system, it is necessary to organize the efficient farming ma-
chines and reduce the efficiency of farming activities by organizing agricultural land
on an appropriate scale to reduce the cost of use and production.
Although land has been cleared once, most fields are still small-area compared to
the grain output of large agricultural machinery, making it an inefficient way to meet
the profit and loss of farmers ' incomes in terms of agricultural operations.
Advanced Science and Technology Letters Vol.150 (AST 2018)
260 Copyright © 2018 SERSC
Therefore, although expensive large-scale agricultural machinery was purchased, it
must be expanded to provide more arable land by increasing the arable land and mak-
ing standard areas more suitable for use.
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Copyright © 2018 SERSC 261