Information Technology Research Academy (ITRA) 6 1. Dr Seema Rani Pegu, Scientist 1. Animal Health 2. Dr. Rajendran Thomas, Scientist 2. Livestock Products Technology 3.Dr. Santanu

Project Title:

e-Varaha: Information System for Safe Pork Production in North Eastern

India LIN 1:

Indian Institute of Technology Guwahati,

Guwahati - 781039 Assam

LIN 2:

ICAR - National Research Centre on Pig, Rani,

Guwahati, Assam

PIN 1a:

Tezpur University, Napaam, Tezpur 784 028

Assam

PIN 2a:

ICAR - Research Complex for North Eastern

Hilly Region, Barapani, Meghalaya

PIN 1b:

Manipur University, Imphal West 795 003

Manipur

PIN 2b: College of Veterinary Sciences & Animal

Husbandry, Central Agricultural University, Selesih,

Aizawl, 796014 Mizoram

PIN 1c (Optional)

PIN 2c:

Veterinary College, Karnataka Veterinary,

Animal and Fisheries Sciences University

(KVAFSU), Shimoga 577 204 Karnataka

Information Technology Research Academy (ITRA) Media Lab Asia

Department of Information Technology Government of India

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Contents

Sl. No. Particulars Page

Nos.

1. EXECUTIVE SUMMARY 3

2. FULL PROPOSAL 5

3. Annexure 1 Detailed Technical Plan 31

4. Annexure 2 List of references 35

5. Annexure 3 Details of Participating Organizations 37

6. Annexure 4 Curriculum Vitae (CV) of each PI from each LIN and PIN 49

7. Annexure 5 Brief CVs of Mentors 74

8. Annexure 6 Terminology 78

9. BUDGET: Head-wise and Year-wise and Year-wise – One Per Institution 79

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EXECUTIVE SUMMARY Pigs play a pivotal role in meeting the nutritional requirements of ever increasing Indian population owing to its unique attributes such as high fecundity, shorter generation interval, early sexual maturity, higher dressing percentage and low cost of production. Piggery is instrumentally contributing to food basket of the North Eastern Region (NER) of India. NER with 8% of geographical area and 4% of population possesses 38.38% of the country’s pig population. One of the biggest challenges facing piggery sector in India especially in NER is ensuring ‘safe pork production’. Most of the pigs are reared by small/ marginal farmers with only few animals and very little inputs in terms of feed and health management. Also, pigs are slaughtered, processed and marketed under unscientific conditions. In the wake of enactment of Food Safety & Standards Act, 2006, producing pork hygienically is mandatory. Scientifically, clean/ safe pork indicates meat free from physical, chemical, microbiological and parasitical hazards. Physical hazards like soiling, contamination etc can be minimized by increasing awareness on hygienic production practices among meat handlers while chemical hazards are minimal in NER because of less use of therapeutic drugs, pesticides, growth promoters etc. Challenges to safe pork production in NER are multifarious: varied sources of pigs ranging from locally reared to those moved from across the border, lack of quick health examination methods both at the level of animal selection at villages/ markets and antemortem (AM) examination, dearth of aids for post mortem (PM) examination of carcasses, non availability of quick pork borne pathogen detection methods and absence of traceability system for systematic identification & maintenance of livestock records. These challenges are to be addressed keeping in mind varied pig rearing (unorganized/ organized) and harvesting practices (small/ large abattoirs). This project proposal aims to find out how best to assure quality of pork in terms of microbiological and parasitic hazards and have a traceability system for the small farm with a few animals distributed on a wide and difficult geographical area.

The NER requires 0.27 million tones of pork but it produces only 0.15 million tones. To meet this supply gap, either pigs or pork are imported from other Indian states or adjoining countries. There is a total lack of systematic study about the movement of pig/ pork into or out of the region and marketing channel operating i.e. farm-to-fork supply chain. Understanding these underlying factors is essential for devising strategies for hygienic pork production. In order to address this gap, a systematic study has been proposed to understand the dynamics of pig/pork flow across the NE states.

To address the issue of developing AM and PM aids it is proposed to develop Infrared (IR) imaging based techniques. Two types of IR interventions are planned, viz, IR thermal measurements and IR spectral imaging. Infrared thermal imaging techniques will help in detecting the general well being of the animals while IR spectral imaging can be used for specific disease identification. At the level of selection of pigs for slaughter and at AM point, IR based

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techniques will help in examining general well being, detection of febrile & septicemic diseases, stress level etc while at PM point IRT spectral imaging can help in detection of muscular dystrophies, presence of cysts, worm infestations, enumeration of total viable counts etc. By triangulating IRT images at animal selection level, AM level and PM level informed decision can be taken for acceptance/ rejection of the carcasses. These techniques will help in efficient AM & PM examination even in high throughput abattoirs.

To aid in selection of healthy animals free from parasitic infestation, attempt will be made to develop an IT based fecal examination technique. Presence of parasites, parasitic eggs, blood etc in fecal sample will indicate parasitic load or gastro-intestinal disorders which will help in deciding the suitability of the pigs for slaughter. To address the need of quick tests for detecting the presence of meat borne pathogens in carcasses and in slaughter premises a colorimetric/ fluorescent probes based biosensor method based on conjugated polymers will be developed for detection of indicator pathogens will be developed. Pathogens commonly used as indicator organism like Salmonella and E. coli will be targeted in the project. Pathogen detection techniques will help in monitoring indicator organisms at critical control points which will help in implementation of HACCP protocols.

Comprehensive quality control requires appropriate traceability system to link various stages of value chain from ‘farm to fork’ which will facilitate flow of information across value chain. It involves identification of animal through individual/ batch specific coding and barcode labeling of market pork with traceability details. An online database will be designed for storing and managing traceability information along with Decision Support System based on Correspondence Analysis of Data generated through the novel IT-based tools for monitoring health of slaughter pigs and evaluating microbial quality at Critical Control Points in the abattoir. Access to e-Varaha would be enabled through mobiles (cell-phones) which would help in reaching of farmers and stakeholders scattered across different regions of the country so as to entail least financial burden on the core stakeholders. After designing of database components, work stations will be established with all four AF partners and pilot scale enrollment (500 pigs/ centre/ year) will be undertaken to validate the system. Traceability backed quality assurance systems will have worldwide acceptability and can help enhance market access to Indian pork in the International market. The project group visualizes importance of using IT-based tools for the holistic development of the piggery sector by the way of making available the right information at right time and establishing functional linkages between different players of the value chain so as to augment production, productivity and profitability of the piggery sector. This in turn would pave way for the rural development and in the long term it would contribute to the nutritional security of the nation. Rapid pig health monitoring using Infra-Red (IR) imaging, microbial quality evaluation using Biosensors, image based fecal analysis for detecting parasitic load and farm-to-pork traceability system for pork are the novel approaches proposed under this project.

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FULL PROPOSAL

1. Title of the project: e-Varaha: Information System for Safe Pork Production in North

Eastern India.

2. Strategic priority area:

Problem proposed to be addressed in the research proposal is mentioned in section 3.1.5

Livestock and Fisheries.

3. Sub-theme area as given in the RFP :

Livestock and fisheries:

(1) Improving production and post production quality;

(2) National Livestock Identification System;

(3) Decision Support system for livestock;

(4) Animal identification and growth management

(5) Lack of fool-proof methods for animal identification resulting in poor record keeping,

difficulty in the creation of a database of gene pool and disease onset patterns at the national

level, problems in settlement of animal insurance, and similar other problems.

4. Information on Institutions:

4.1 Lead Institutions: 4.1.1 Lead Institution IT (LIN1): PI Name Designation Institution Department (or

another institutional unit)

Dr. Sukumar Nandi

Professor Indian Institute of Technology Guwahati, Guwahati

Department of Computer Science & Engineering.

4.1.2 Lead Institution in AF (LIN2): PI Name Designation Institution Department (or


Dr. Girish Patil, S.

Senior Scientist ICAR - National Research Centre on Pig, Rani, Guwahati

Livestock Products Technology

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4.2 Partner Institutions:

4.2.1 Partner Institution in IT (PIN1a): PI Name Designation Institution Department (or


Dr. Nityananda Sarma

Professor Tezpur University, Napaam, Tezpur, Assam 784 028

Computer Science & Engineering

4.2.2 Partner Institution in IT (PIN1b): PI Name Designation Institution Department (or


Dr. Khumukcham Robindro Singh

Assistant Professor

Manipur University, Imphal West, Manipur 795 003

Computer Science

4.2.3 Partner Institution in AF (PIN2a): PI Name Designation Institution Department (or


Dr. Arnab Sen

Principal Scientist & Head

ICAR - Research Complex for North Eastern Hilly Region, Barapani, Meghalaya

Division of Animal Health

4.2.4 Partner Institution in AF (PIN2b): PI Name Designation Institution Department (or another

institutional unit) Dr. Tapan Kumar Dutta

Associate Professor

C.V.Sc. & A.H., Central Agricultural University (CAU), Selesih, Aizawl, Mizoram – 796014

Dept. of Veterinary Microbiology

4.2.5 Partner Institution in AF (PIN2c): PI Name Designation Institution Department (or another

institutional unit) Dr. Nagappa Karabasanavar

Assistant Professor

Veterinary College, KVAFSU, Shimoga, Karnataka 577 204

Department of Veterinary Public Health and Epidemiology

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5. For the investigators in each LIN/PIN, give the names, designations and fields of specialization of each scientist in other institutions (LIN, PIN, etc.) with whom the investigators will collaborate. Please list only those collaborations that are substantial.

LIN/ PIN

Number of Collaborating

Scientists

Name and designation of Collaborating Scientists

Field of Specialization

LIN 1 4 1. Sanasam Ranbir Singh, Assistant

Professor

1.Information Retrieval, Data

Mining

2. T. Venkatesh, Assistant Professor 2.Mobile Applications,

Computer Networks

3. Samit Bhattacharya, Assistant

Professor

3.Human Computer Interaction

4. Dr P. K. Iyer, Professor 4. Department of Chemistry

LIN 2

(ICAR

-

NRCP)

6 1. Dr Seema Rani Pegu, Scientist 1. Animal Health

2. Dr. Rajendran Thomas, Scientist 2. Livestock Products

Technology

3. Dr. Santanu Banik, Senior Scientist 3. Animal Genetics & Breeding

4. Dr Keshab Barman, Senior

Scientist

4. Animal Nutrition

5. Dr Gokul Das, Scientist 5. Animal Reproduction

6. Dr Swaraj Rajkhowa, Senior

Scientist

6. Animal Health

PIN 1a 1 1. Dr Sarath Saharia, Associate

Professor

1. Computer Science &

Engineering

PIN 1b 1 1. Ningthoujam Gourakishwar Singh,

Assistant Professor

1. Computer Science

PIN 2a 2 1.Dr K Puro 1.Veterinary Immunology

2.Dr Samir Das 2.Veterinary Public health

PIN 2b 1 1. Dr Pragati Hazarika, Assistant

Professor

1. Livestock Products

Technology

PIN 2c 2

1. Dr. Anand, K. J., Associate

Professor

1. Veterinary Parasitology

2. Dr Pradeep, B. S., Assistant

Professor

2. Veterinary Parasitology

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6. Please state the problem in agriculture and/or food for the solution of which you want to

gain knowledge or technology through this project. Also explain why this problem needs

the support of IT. Who will be your immediate and ultimate stakeholders? (Half page)

North eastern region (NER) of India comprising eight north eastern states constitute 8 % of

the geographical area, 3.1 % of the population but possesses 38 % of the country’s pig

population. Quality of the pork produced is not often of good quality and not as per the statutory

guidelines due to following reasons:

i) Rearing of pigs in small herds by small and marginal farmers over wide geographical area.

ii) Movement of pigs into NE from different parts of the country and adjoining countries.

ii) Absence of tools for effective antemortem and postmortem examination.

iii) Unavailability of rapid pathogens and parasitic detection systems.

v) Lack of traceability system for maintaining records of each animal/ batch and trace back the

origin and quality records when required.

Information technology can be a major help in solving above problems. IT application to

record and visualize the movement of pigs-to-pork will help in understanding the current pig-to-

pork chain in NER. IRT thermography and spectral imaging will help in taking quick decisions

in AM & PM examination. Biosensor based pathogen detection will help rule out presence of

pork borne pathogens in pork. An image based fecal examination will help in determining the

parasitic load in the GIT of animal. By developing an animal identification and IT-based

traceability system the source of the pork produced can be easily identified and focused control

measures can be implemented.

Stakeholders of the piggery will be benefited in many ways by the output of the project: Pig

farmers will be integrated to other players of value chain by enrollment into traceability system

and pork processors will get several aids for ensuring safe pork production. Veterinarians,

sanitary inspectors, food inspectors & public health specialists will get tools for ensuring safe

pork production through effective AM & PM examination and trace back capability. Consumers

will be the ultimate beneficiaries as these interventions will help in ensuring that the pork

consumed by them is wholesome and safe.

7. Present the status of knowledge and technologies and the unmet challenges posed by the

proposed problem. Cite only landmark publications and list them in Annexure 2 (2 pages).

Information science and information technology are having a rapidly growing impact on the

methods used in livestock production. In developing countries, especially in India, reports on IT

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applications for precision livestock farming are scarce however in developed countries IT has

been effectively used for precision livestock farming. Several innovations on application of IT for

precision livestock farming have been reported. Such applications are mainly focused on

scientific herd management, health monitoring, providing environmental comfort, evaluating

meat quality etc.

IT based Sow herd decision support system (SH-DSS) was reported by Pla et al. (2004).

The SH-DSS was aimed to analyze production factors associated with reproductive and

replacement management strategies of sow farms. Enting et al., (2000) reported ‘Zovex:

Knowledge Based System (KBS), for herd-health management support’. The output of Zovex is a

list of risk factors present on the farm, and recommendations as to which risk factors are

considered for interventions and how they should be changed. In addition to the problem-solving

possibilities, Zovex can also be used as an advisory tool in preventive screening to identify

problems as early as possible. A wireless sensor network based precision animal management

system called Moosense was developed by National Dairy Research Institute, Karnal in

collaboration with Indian Institute of Technology, Delhi.

The total radiation energy emitted or absorbed by the animal body depends on the

emissivity of the skin. The largest part of radiation energy is emitted with wavelength of 7–14

μm, and is referred to as infrared (IR) radiation. In case of animals 40–60 % of heat loss is within

this range (Stewart et al., 2005). A technique based on measurement of IRT for diagnosis of

mastitis, leg injuries, body surface damages, milking hygiene etc has been reported by

Poikalainen et al. (2012). Infrared Thermography (IRT) has also been used to predict changes in

udder temperature and to elucidate possibilities for early diagnosis of mastitis in dairy cows

(Berry et al., 2003) and for early detection of foot-and-mouth disease virus infected cattle

(Rainwater-Lovett et al. 2009). IRT technology may also be a tool for screening cattle for feed

utilization efficiency (Montanholi et al, 2010). Sykes et al. (2012) studied thermal images of

vulva at estrus and diestrus phases of the porcine estrous cycle and concluded that Digital

Infrared Thermal Imaging can be successfully used for detection of estrus in gilts.

Rapid detection of pathogens in food products is another area wherein IT applications have

been extensively used. Geetesh et al. (2015) reported a label free

impedemetric immunosensor for detection of Escherichia coli in

water. Analysis can be completed in 10 minutes and limit of detection was 102 CFU/ml. Souvik

Pal et al. (2015) reported the miniaturised nano-immunosensor based sensor for high-throughput

detection of aflatoxin in milk. Limit of detection of afltoxin in milk was 6.25 pg mL−1.

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Livestock traceability is a concept which has brought about paradigm shift in livestock

production and processing across the world. About 40 countries have adopted mandatory

livestock identification and traceability system for effective quality assurance. In India, attempts

have been made by different states to implement livestock traceability system. Maharashtra

Animal Identification and Recording Authority (MAIRA) established by Maharashtra Livestock

Development Board to record production and reproduction performance of livestock and for

premises registration is one such attempt. Authority undertakes voluntary premises registration

program in the state for animals such as, cattle, buffalo, calves, breeding bulls, goat, sheep, etc.

A farmer needs to have at least ten pigs to get enrolled in the system. This system does not cover

small pig farmers and effective usage of traceability system for disease management using

advanced technologies is missing in the initiative. Similarly, Information Network for Animal

Productivity & Health (INAPH) was initiated by National Dairy Development Board, Anand in

its quest to sustain the gains of operation flood and to maintain leading position in milk

production in the world (http://www.nddb.coop/inaph). The INAPH was developed in technical

collaboration with M/s. Infosys, Bengaluru. Main services offered by INAPH are: animal

identification & registration, animal breeding, genetic improvement, ration balancing, health

care, laboratory services and stock management. However, piggery has not been addressed in

this system through two-way information flow system. National Research Centre on Meat,

Hyderabad has developed and pilot implemented a model meat traceability system

(www.livestocktraceindia.in) for benefit of buffalo meat industry (Girish et al., 2014).

IRT technology has also been used for evaluating quality of meat by different workers. Preito

et al. (2015) reported that vis-NIRS technology has the potential to segregate pork samples

according to pig breed and discriminate the moisture enhanced from non moisture enhanced pork

samples as well as the 2 d from14 d aged loins. Jun-Hu et al. (2015) standardized IR

hyperspectral imaging to determine Total Viable Count (TVC) value for evaluating microbial

spoilage of grass carp fillets in a rapid and non-invasive manner.

Research and Development work employing IT-based solutions suitable to Indian

piggery sector are lacking. Hence, this research project has been proposed with the aim to

fulfill this gap.

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4 Show how the challenges/gaps in the state of current knowledge and research, identified

in item 7, lead to the objectives of the proposed project. List the objectives (their

number should normally not exceed 5.) (1 page)

i) For making any interventions for safe pork supply in north eastern region it is necessary to

understand movement of pigs into NER, flow from pig-to-pork and marketing channels. Hence,

there is a need to undertake a comprehensive study on these aspects through the first objective,

‘Study of the routes of pig-to-pork in the north eastern region’.

ii) Healthy pigs free from disease causing agents and harvesting of pigs under hygienic condition

are prerequisite for safe pork production. Precision techniques to detect diseases, parasite load in

slaughter pigs and harmful pathogens in carcass are essential for quality pork production. Such

techniques need to be rapid as evaluation time must not hinder the process flow. Hence the

objective ‘Development of IT based systems for examining health status of slaughter

purpose pigs and post mortem examination of carcasses’ is conceptualized.

iii) Animal identification and trace back of pork provision can ensure implementation of

comprehensive quality assurance methods. Various tagging systems based on radio devices are

available which need to be standardized to meet requirement of identification of pigs and

mechanism for updating of information need to be developed. This will help in knowing past

records and implementing focused quality assurance methods in case of discrepancy in quality,

hence the objective, ‘Development of tools for identification and traceability of pork.’ is

proposed.

iv) Traceability system requires acquiring and holding of information pertaining to pigs, farm of

origin, place of slaughter etc. This information also needs to be stored and retrieved for enabling

trace back capability. Traceability database will also give a platform to bring all the stakeholders

of piggery under one umbrella. Hence the objective, ‘Development of piggery information

management system for traceability and pork safety’ is devised.

5 State how the achievements of these objectives will add to scientific and/or technological

advancements towards a solution to the proposed problem? (half page)

Achievements of these objectives will bring about a paradigm shift in pork production

practices, marketing and trace back capability in north east region. e-Varaha will enable

assessment of health of pigs used in pork production, identification of diseases of public health

importance before slaughtering and traceability of pork to the source farm. Efficient and rapid 11

detection of common pathologies in pork both at antemortem and postmortem stages in abattoir

will ensure the safety of pork produced leading to enhanced quality and profitability in the

sector. In other words these objectives will help logical integration of information technology

into the pork production in north east region.

Scientific and technological advances which can be achieved towards solution to

proposed problem are as follows:

i) Novel infrared thermal/ spectral image-based rapid identification techniques for diseases of

public health importance in pigs.

ii) Innovative decision support system for antemortem and postmortem judgment using

biosensor based pathogen detection and image-based fecal analysis.

iii) Traceability system to ensure quality assurance in pig-to-pork chain.

6 For each objective, list the major activities (also called tasks). For each activity/task

under each objective, describe the role to be played by each LIN/PIN involved, and how this role is well matched with the expertise/strengths of the LIN/PIN. In addition to the LINs/PINs, for each activity state if you propose to get helpfrom individuals or organizations outside the LINs/PINs through outsourcing or collaboration, give the names of such individuals/organizations, and state if/why they are/will be willing to help. Indicate any budget line needed for this. In addition to the LINs/PINs, for each activity state if you propose to get help from individuals or organizations outside the LINs/PINs through outsourcing or collaboration, give the names of such individuals/organizations, and state if/why they are/will be willing to help. Indicate any budget line needed for this.

Objective 1: Study of the routes of pig- to- pork in the north eastern region

Activity 1 Development of mobile application for real time

recording of routes of pig-to-pork.

LIN1; PIN 1b LIN 2

Activity 2 Study of movement of pigs from farmers to abattoir

(point of slaughter) and retailing within NER.

LIN2 with all AF

partners.

Activity 3 Study of movement of pigs into NER (from other

states of India and adjoining countries).

LIN2 with all AF

partners.

Activity 4 Study of movement of pork and pork products in and

out of NER.

LIN2 with all AF

partners.

12

Objective 2: Development of IT based systems for examining health status of slaughter

pigs and post mortem examination of carcasses.

Activity 1 Development of infra red image based system for

identifying pig health and pork quality.

LIN1; LIN1a; LIN2; PIN2a

Activity 2 Development of imagery techniques for

detection of parasitic load in fecal matter of pigs.

LIN1; PIN1a; LIN2; PIN2c

Activity 3 Development of sensor based system for

detection of potential pathogens in pork at

critical control points in abattoirs.

LIN2; PIN2b; PIN2c; PIN1c

Objective 3: Development of tools for identification and traceability of pork.

Activity 1 Testing and adapting suitable radio and/ or near field

communication devices for tagging and tracing individual

pigs.

LIN1; LIN2

Activity 2 Development of mobile applications for acquisition and

transmission of data from tagged pigs.

LIN1; LIN2; PIN1a

Activity 3 Designing of traceability information labeling on retail

pork using bar code or quick response code.

LIN1; LIN2

Objective 4: Development of piggery information management system for traceability

and pork safety.

Activity 1 Development of database system for traceability

of pigs and pork

LIN1; PIN1b; LIN 2; PIN 2a

Activity 2 Development of decision support system for

ensuring safety and quality of pork.

LIN1; PIN1a; LIN2

Activity 3 Development of interface tools and applications

for traceability and usage of database by

stakeholders.

LIN1; PIN1a; PIN 1b

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7 In the table below, specify 6-monthly deliverables for each activity, and the expected

output of the activity. Quantify them as far as possible so they can be used as

measurable indicators of your progress.

[Note: Deliverables are what you plan to have ready after each six months. An output may

need one or more deliverables. For example, if at the end of the first six months youplan to

have established a laboratory facility, use it to perform a series of experiments and obtain

field data over the next six months, and analyze the data over the following six months,

then the lab, data and analysis are the deliverables for the three 6-month periods. Succinct

results of the analysis will be the output associated with the three deliverables.The real

motivation behind the activities may be to learn from the outputs what certain field

conditions mean in agriculture and food terms -- the latter, then will be the outcome. Thus,

an activity leads to an output which, in turn, leads to an outcome. The outcome is in the

language that is understood by those who feel the impact of the activity in the end]

OBJECTIVE 1 Study the routes of pig-to-pork in the north eastern region.

Activity 1: Development of mobile application for real time recording of routes of pig-to-pork.

Output: Tools for data collection and visualization.

Deliverables after Month 6 Deliverables after Month 12

Year 1 Software requirement specifications and design documents for applications of data collection.

Desktop and mobile application for data collection.

Year 2 Desktop and mobile application for data collection.

---

Year 3 --- ---

Activity 2: Study of movement of pigs from farmers to abattoir (point of slaughter) and retailing within NER. Output: Understanding marketing channel of pork within NER.


Year 1 Questionnaires for eliciting information and identified sites for

Report on movement of pigs within NER.

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study.

Year 2 Report on movement of pigs within NER.

---

Year 3 ---

Activity 3: Study of movement of pigs into NER (from other states of India and adjoining countries) Output: Understanding the movement of pigs in and out of NER.


Year 1 Questionnaires for eliciting information and identified sites for study.

Report on movement of pigs from different entry points of the region.

Year 2 Report on movement of pigs from different entry points of the region.

---

Year 3 --- ---

Activity 4: Study of movement of pork and pork products in and out of NER. Output: Understanding the movement of pork and pork products in and out of NER


Year 1 Structural schedules for eliciting information and identified sites for study.

Report on movement of pork in and out of NER.

Year 2 Report on movement of pork in and out of NER.

---

Year 3 --- ---

OBJECTIVE 2 Development of IT based systems for examining health status of slaughter pigs and post

mortem examination of carcasses.

Activity 1: Development of infrared thermal image based system for diagnosing pig health. Output: Rapid techniques for examining slaughter pig.

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Year 1 Infra red thermal/ spectral image analysis facility.

Collection of infra red thermal/ spectral images and corresponding pig health parameters.

Year 2 ITR based system for examining pig health.

Infrared image based hand held devices for examining pork quality.

Year 3 Integrating with the core pig information system.

Field tested and certified tools.

Activity 2: Development of imagery techniques for detection of parasitic load in fecal matter of pigs. Output: Rapid technique for examining pig fecal matter.


Year 1 Analysis report of fecal samples for parasites/ parasitic eggs.

Gallery of images of parasites of pigs.

Year 2 IT program for fecal analysis suitable for field use.

Prototype of image based fecal evaluation system.

Year 3 Field tested and improved image based fecal analysis system.

Field tested and improved image based fecal analysis system.

Activity 3: Development of biosensor based system for detection of potential pathogens in pork at critical control points in abattoir. Output: Reliable and rapid technique for quick evaluation of microbial quality of critical control points at pig abattoir.


Year 1 Compiled report on critical control points and potential pathogens in pig abattoir.

Identification of targets in pathogens for devising detection method based on sensors.

Year 2 Identification of targets in pathogens for devising detection method based on sensors.

Conjugated polymer based chemical sensors for detection of Salmonella.

Year 3 Conjugated polymer based chemical sensors for detection of E. coli.

Field tested techniques for pork quality evaluation.

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OBJECTIVE 3 Development of tools for identification and traceability of pork

Activity 1: Testing and adopting suitable radio and/or near field communication devices for tagging and tracing individual pigs. Output: A system for identification of pigs.


Year 1 Report on state-of-the art techniques. Finalized coding scheme for identifying pigs.

Year 2 Report on comparative advantages of different identification devices.

System for identification of pigs and updating of information.

Year 3 Field tested pig identification technique. Validated pig identification technique.

Activity 2: Development of mobile application for data acquisition from tagged pigs, communication and retrieval.

Output: A system for real time updating of identified pigs.


Year 1 Compilation of information to be recorded and updated from identified pigs.

Specification and design document for software to read tags and communication with database.

Year 2 Mobile application for acquisition, transmission and retrieval of data.

Integrated application for accessing traceability information with e-Varaha system.

Year 3 Field tested traceability application. ----

Activity 3: Designing of traceability information label on retail pork using bar code or quick response code. Output: System for traceability labeling of retail pork

Year 1 Compilation of traceability information to be put on retail packages.

Finalized labeling scheme for identifying pork.

Year 2 Report on comparative advantages of different types of labels on meat packages e.g. bar code, QR code etc.

System for identification of pork and updating of information.

Year 3 Field tested traceability labeling technique.

Validated traceability labeling technique.

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OBJECTIVE 4 Development of piggery information management system for traceability and pork safety.

Activity 1: Development of database system for traceability of pigs and pork. Output: Database system for traceability of pork.


Year 1 System Requirement Specification (SRS) and design document.

Database with forms and reports for farmers and pigs.

Year 2 Enabling database. Augmenting database.

Year 3 Field tested pork traceability database.

Field tested pork traceability database.

Activity 2: Development of decision support system for ensuring safety and quality of pork. Output: An application for helping diagnosis of pig diseases and evaluating pork quality.


Year 1 Information base of symptoms and common pig diseases.

Year 2 Information base of safety factors and quality parameters.

DSS for diagnosis of pig diseases and checking pork quality.

Year 3 Field tested DS Systems. Validated DS Systems.

Activity 3: Development of interface tools and applications for access and usage by stakeholders. Output: e-Varaha with interface for easy use by stakeholders.

Year 1 Mobile application for accessing piggery database.

Year 2 Supporting applications for pig health assessment.

Supporting application containing repository of information on piggery.

Year 3 Supporting applications for rapid detection of pork quality.

Field tested applications.

8 For each objective, give a detailed technical plan in Annexure 3 (3 pages). Please

highlight the novelties of your plan, and give alternative approaches you may pursue

in case of failure.

Given in Annexure 1 18

9 In (A) and (B) below, describe how you will use your R&D activity to make an impact on curriculum:

(A) Please name the activities under each component (give quantifiable indicators for each deliverable and output)

Objective Activity Year 1 Year 2 Year 3 Output

Deliverables Month 6






Development of Laboratory and field facilities for research in the relevant field, that are accessible to scientists and students working in the project and outside.**

1. Establishment of laboratories for IR-based disease identification in pigs.

2. Establishment of laboratory for sensor based pathogen detection in pork production.

0

0

1

1

1

1

0

0

0

0

0

0

Facilities for IT based diagnosis of pig diseases and assessment of quality of pork

21

To help students and staff working in and outside the project; to attract them to relevant field of research; to enhance their knowledge and skills through regular classes and curricula; modification of curricula; and any other/extra-curricular methods.**

1. Organizing workshops and seminars at different Institutions. 2. Encouraging assignments on IT and livestock from students. 3. Organizing interaction with other species Institutes of ICAR. 4. Interaction with mentors and Scientists of other project groups.

0

3

0

1

\\\\

1

6

0

1

2

8

1

2

2

8

2

2

3

8

2

2

2

6

1

3

Enhancement of knowledge in IT in piggery.

Post Doc Engagement 1. Enrolling post docs for working in the project.

0 0 0 `0 0 0 Promotion of IT research.

* Soliciting the services of the project scientists and mentors from other teams/institutions as adjunct/visiting faculty can be one of the ways to fulfil these plans.

22

(B) Granting PhDs - Although tentative, please give serious thought to at least research areas and institutions of the PhD students, and provide your plans below.

[Linking the project research with PhD programmes is an essential part of ITRA plan. Those LINs and PINs that do not offer PhD degrees should clearly explain how they plan to facilitate students getting PhD with the help of other universities or institutions. Those that do offer PhD degrees and regularly enroll students should give a clear plan of assigning those students to work on this project. They should explore if the fellowships can be given from this project. If the number of students available is not enough and extra research fellows/associates are needed to be hired, then ensure that they get the benefit of registering for PhD programme at universities that allow such enrolment.] Number of PhD Students

Objectives, and activities under each objective, in which the students are engaged

PhD Supervisor’s name and institution

Names of local supervisors and institutions, other than the supervisors’, in which the students will work

University/Institute that will offer the degree

01 Objective 4 (Activities 1 & 3)

Dr. Sukumar Nandi, IITG

IITG

01 Objective 2 (Activity 1 & 2)

Dr. T. Venkatesh, IITG

01 Objective 1 (Activity 1)

Dr. Ranbir Singh, IITG

IITG


Samit Bhatarcharya, IITG

IITG

01 Objective 2 (Activity 1), Objective 3 (Activity 2)

Dr. Nityananda Sarmah, Tezpur University

Tezpur University

01 Objective 2 (Activity 3), Objective 4 (Activity 1)

Dr. Kh. Robindro Singh, Manipur Univ.

Manipur University

01 Objective 3 (Activity 1 & 3)

Dr. Girish Patil, S., ICAR – NRCP

ICAR – NRCP Assam Agricultural University (AAU)


Dr Seema Rani Pegu, ICAR – NRCP

ICAR – NRCP Assam Agricultural University (AAU)

01 Objective 2, (Activity 1 & 3)

Dr Arnab Sen, ICAR – RC NEH

Assam Agricultural University (AAU)

01 Objective 2; Activity 2

Dr Nagappa, K., Veterinary College, Shivamogga

College of Vet. & Animal Sciences, Shivamogga

KVAFSU, Bidar

23

10 Please give a plan for how you the team members will interact regularly, which would

be essential to meet the types of objectives ITRA- Ag & Food is targeting. Examples are

quarterly meetings (as stated in the RFP) and remote discussions. (1/2 page)

Quarter Place Mode of Meeting

1st month LIN 1 Physical

7th month LIN 1b Physical

13th Month PIN 1a Remote (Skype)

17th Month LIN2 Physical

25th Month PIN2a Remote

31st Month LIN1 Remote

Further, meeting on 1st Saturday of every month through Skype calls.

11 Give details of the mentors (three to four) you propose. It is preferable that one or two mentors are from a foreign institution, whenever doing so is useful for the project. For each mentor, give a one-page CV and a list of five best publications in the field of her/his expertise from the last five years.

Name of Institution Position Area of expertise Which component of the project is expected to be benefited from the mentor

Prof. Hema A Murthy, Indian Institute Technology Madras

Professor Pattern Classification, Computer Network, Software Engineering

Developing Information technology system amenable to stakeholders.

Dr Suresh S. Honnappagol Animal Husbandry Commissioner

Implementation of schemes for stakeholders.

Overall planning and field implementation of the project.

Dr. K Ravindra Rao Former CGM, NABARD

Formulation and appraisal of bankable projects; planning, monitoring and evaluation of Government programs/schemes

Orienting the research activities to meet the requirements of piggery stakeholders.

Dr Tushar Mohanty, National Dairy Research Institute, Karnal, Haryana

Principal Scientist

Information technology in dairying.

Developing IT application of support to homestead piggery.

24

ITRA may suggest alternatives to one or more of the proposed mentors or additions. Together, the mentors will form the Advisory Board. Mentors from foreign institutions should be able visit twice a year. The visits should include project related activities (planning, PhD guidance, co-authorship of papers, etc.) along with other relevant activities such as participation in course, lab and curriculum development, teaching, seminars, etc.

12 Outreach Specify the activities under the following components, and for each deliverable and output give quantitative measures.

Objective Activity Year 1 Year 2 Year 3

Deliverable Output Deliverable Output Deliverable Output

Transfer of technology developed in the project to various stakeholders

1. Study of movement of pigs and pork production in north east region.

Report on routes of pig movement in NER

Quantitative data on pork production in NER

Report on channels involved in pork production in NER

Visualization tool for data on pork production in NER

2. Assessing pig health through non-invasive technique.

Repositories of symptom and pictures of diseases of public health importance.

Innovative disease diagnosis tool for pig health assessment

Non-invasive methods of herd health assessment from fecal matter and infrared images

Implementing monitoring system in 20 farms.

3. Assessing pork quality and safety

Repositories of pictures of postmortem lesions with corresponding disease annotations

Innovative tool for microbial quality assessment of pork

Bio-sensor methods of pork safety assessment infrared images

Implementing monitoring protocol in abattoirs.

4. Traceability system for pork

Mobile/Tablet based applications for various activities related to pork traceability

Traceability system for information retrieval

Enrollment of stakeholders into traceability system.

Enrollment of 1000 stakeholders into database

Dissemination of knowledge gained in the project to scientists, students and stakeholders, e.g., through modification in curricula, and seminars and workshops

1. Workshops

Farmers, Piggery Experts and IT experts integration workshop

Proceedings of the interaction

Farmers, Piggery Experts and IT experts integration workshop with hands on demo of the preliminary e-Varaha system

Proceedings of the interaction reporting feedback on the system

Interaction with potential NGOs/private companies to discuss issues related to sustainability

Identifying potential third party who can take e-Varaha forward

2. Research Seminar

Presentation from progressive farmers

Presentation from IT Experts

Presentation from progressive farmers

Presentation from IT Experts

Discussion on ICT based piggery

Proceeding

25

Presentation from Piggery experts

Presentation from Research Scholar

Presentation from Piggery experts

Presentation from Research Scholar

management system and its potential academic curricula

13 State your plan of work in the next phase of this project (after three years). What

plans do you have to add, in 2-3 years, another layer of institutions below your current

pyralet of institutions? (No more than ten lines)

Project will bring about two sets of usable outputs: techniques for quality pork

production (based on IRT, Biosenors & fecal examination) and a comprehensive system for

traceability in pig value chain. Effort will be made to commercialize and popularize

techniques devised for quality pork production to enhance its usage. For popularizing

traceability system among all stakeholders (pig farmers to pork consumers) collaborative

effort will be made with Animal Husbandry Department/NGOs of respective states and

meetings/ awareness programs will be organized in different states. Under the aegis of North

East Council, Shillong and ICAR – National Research Centre on Pig, Guwahati meeting of all

Directors of Animal Husbandry will be called; further up-scaling strategies will be chalked

out to take the system to ultimate stakeholders so as to achieve quality pork production.

Support of Ministry of Animal Husbandry & Dairying, Govt. of India for popularizing

traceability system will be taken with the guidance of Animal Husbandry Commissioner who

is a mentor in the project.

14 Technology Development Plan (1 page)

a) At the end of the 3-year project period, what technology (technologies), and at what stage (e.g. proof of concept, prototype, demonstration, IP), are you likely to deliver to your immediate and ultimate stakeholders? Give a time line and methodology that you propose to adopt for this delivery? At the end of the 3-year, we plan to build a field-tested and ready to deploy technology

for safe pork production. E-Varaha is an integrated system which consists of (i) a database

management system for keeping and maintaining information related to pig and pork

movement, (ii) techniques for ensuring safe pork production and (iii) protocol for

implementing pork traceability in NER.

26

Timeline activities: 1st -6th months Procuring of hardware and recruiting of manpower for various activities

at different participating institutions Preparation for questionnaires and structural schedules for eliciting information and identified of sites for study. Software requirement specifications and design documents for applications of data collection Compilation of critical control points and potential pathogens in pig abattoir Compilation of traceability information to be put on retail packages. Report on parameters for evaluating pig fecal matter. Exploring different coding and tagging schemes

7th – 12th Months

Desktop and mobile application for data collection and report on movement of pigs within NER Collection of infra red thermal images and corresponding pig health parameters Collection of images of fecal matter and corresponding abnormalities Cultured pathogens from pork, water and other abattoir points. Finalized coding scheme for identifying pigs. Specification and design document for software to read identification tags and communication with database Interaction with IT experts and all stakeholders of piggery sector for collecting feedback related to the project

13th- 18th Months

Thermal image based system for examining pig health. Correlated data on images of fecal matter and pig health status. Chemical sensor based on polymers for microbial toxin detection Mobile application for acquisition, transmission and retrieval of data Study of comparative advantages of different types of labels on meat packages e.g. bar code, QR code etc.

27

Information base of safety factors and quality parameters. 19th - 24th Months

Infrared image based hand held devices for examining pork quality. Prototype of image based fecal evaluation system. Pathogen detection method by polymer based methods. System for identification of pigs and pork and updating of information. Integrated application for accessing traceability information with e-Varaha system Decision support system for diagnosis of pig diseases and checking pork quality Demonstration of e-Varaha to all stakeholders

25th – 30th Months

Integrating the applications with the core pig information system Field testing and improving image based fecal analysis system. Validating techniques for pork quality evaluation. Field testing pig identification technique, traceability labeling technique, and traceability application Field testing decision support system and pork traceability database. Developing supporting applications for rapid detection of pork quality.

31st – 36th Months

Testing and validating the decision support system integrated with information management system Validating and checking the accuracy of pork quality assessment system Field testing decision support system and pork traceability database with additional stakeholders enrolled. Interaction with NGOs and private companies to discuss sustainability issues of the system. Conducting workshops and awareness programs in and around north east region.

28

b) If you are likely to deliver knowledge, explain how that knowledge will be contributing

to technology development needed for solving the problem at hand.

From the knowledge that we gain from the project, we will be able to deliver valued

information related to various aspects of safety and quality in pork production in NER. To

mention few - (i) NER specific piggery practices, (ii) nature of flow of pig/pork in and out of

NER, (iii) nature of diseases related to public health and their assessment techniques, (iv)

acceptability of ICT based technological solution

15 Give a plan for sensitizing the project personnel and students regarding how the work

in this project will benefit Indian farmers or fishers. The plan may include group

discussions, and visits to villages and institutions. The agriculture and food institutions

have to lead here. (1/2 page)

Project involves understanding of three aspects using information technology which are

‘movement of pig and pork in NER’, ‘safe pork production’ and ‘traceability of pork’. ICAR –

National Research Centre on Pig, Guwahati has excellent farm facilities, state-of-the-art

laboratories and certified abattoir. Initial sensitization of project personnel and students on

safe pork production will be undertaken in the Centre followed by field visits to different

critical points. Exposure to information technology tools and process required for assessment

of health of pigs during pork production will be undertaken by organizing tailored program

at Indian Institute of Technology, Guwahati.

16 What are the expected outcomes of the project. Give only the most important five.

a. Detailed status report containing information and quantitative analysis of routes of pig-to-

pork movement in north eastern India.

b. Technologies for rapid examination of pig health at the source and abattoirs to ensure

safe pork production.

c. An efficient traceability system to trace back the origin of pig/ pork.

d. An information system for assessment and management of pig health and pork quality.

e. Enhanced marketability and profitability in piggery in north eastern region due to quality

pork production.

29

Annexure 1

Detailed Technical Plan Objective 1: Study of the routes of pig- to- pork in the north eastern region

Activity 1: Development of mobile application for real time recording of routes of pig-to-

pork: Questionnaires will be designed for eliciting information from different locations

regarding movement of pigs. For ease of collection, transmission, analysis and reporting of the

data a mobile application will be developed. This will help in online data entry using hand held

device or through a mobile which will help in gathering of information from varied stakeholders.

Proposed Application will also have support for visualizing data using geospatial maps to

understand marketing channels. Quantitative data gathered using this application would help in

identification of locations, rapid statistical of analysis of data using standard methods and report

creation. In the long term, such applications can be used for real time recording of movement of

pigs at different Interstate and International border entry points.

Activity 2: Study of movement of pigs from farmers to abattoir (point of slaughter) and

retailing within NER: Data will be collected from about 200 representative farmers,

middlemen, meat handlers and retailers in each of the eight states of NER. Data will be collected

to know where the farmers sell their pigs, from where meat handlers/ retailers purchase their

animals and involvement of middlemen, if any. Analyzing the information will help us to

understand marketing channel of pigs from farmers to abattoirs to retailers.

Activity 3: Study of movement of pigs into NER (from other states of India and adjoining

countries): Most of the interstate movement of pigs happens through 20 Km wide passage which

connects NER from rest of India often known as ‘chicken neck’. At the major entry points in this

area, project Scientists/ staff will collect information (four weeks per year) on in-flux and out-

flux of animals. Primary data will be collected by direct observation while secondary data will be

collected by interaction with officials at check point and people involved in transportation of

animals. Cross country movements will happen mainly through Mizoram border with Myanmar.

At the International border too, data will be collected by both primary and secondary means.

Activity 4: Study of movement of pork and pork products in and out of NER: Movement of

pork will also be done by project Scientists/staff and collection of information at entry points

from other states of India and at International border (four weeks/ year). Data will help

understand approximate quantum and mode of transport of pork from in and out of the NER.

30

Objective 2: Development of IT based systems for examining health status of slaughter

purpose pigs and post mortem examination of carcasses.

Activity 1: Development of infra red thermal (IRT) image based system for identifying pig

health and pork quality: IRT based techniques will be used for its application at three different

levels: during selection of pigs for slaughter, at the stage of antemortem inspection and post

mortem quality evaluation. For this purpose, two techniques will be adopted: Infrared

Thermography & Infrared Spectral Imaging. Experiments will be designed to get IRT images

from animals in different conditions and their correlation with health status and stress level of

animals. Different diseases of importance for safe pork production which are expected to be

detected using IRT based techniques at different stages are as follows:

a) At the level of the producer and at the level of slaughter house- antemortem

examination: Febrile & septicemic diseases, Hemorrhagic diseases, Reproductive disorders-

CSFV, PRRS, Hemorrhagic septicemia, Brucellosis, PCV & PPV infections, parasitic

infestations etc

b) At the level of slaughter house- postmortem examination: Total viable count in pork,

Muscular dystrophies, Muscular cysts, Hemorrhagic syndromes, Visceral pathology, Intestinal

lesions including worm infestations, Foot and mouth disease, Acute CSFV, Acute PRRS,

Anthrax, Taenia solium, Tapeworms, Porcine coccidia, Trichinellosis, Cysticercus suis etc.

For increasing the sample size and reliability, validation study will be undertaken in all AF

partner Centres and their associated pig farms.

Activity 2: Development of imagery techniques for detection of parasitic load in fecal

matter of pigs: A device will be designed for lighting, visualization and imaging of fecal

samples. This imaging device will be linked to a computer system. Images of fecal samples will

be collected from different pigs, examined for presence of parasites and parasitic eggs. A

computer program will be devised for quick detection and communication of any changes

indicating disease conditions. Effectiveness, accuracy, economics etc will be calculated by

testing the unit under different conditions and at different centers.

Activity 3: Development of sensor based system for detection of potential pathogens in pork

at critical control points in abattoirs: It is mandatory to slaughter pigs and process the pork

under hygienic conditions. The Hazard Analysis and Critical Control Point (HACCP) is a time

tested quality assurance approach which is based on prevention of entry of food safety hazards

31

into the food chain. This requires identification of Critical Control Points (CCPs) and putting

control measures at identified points so as to prevent the entry of microbial hazards of concern to

pork quality. This can be achieved in abattoirs by enumeration of pathogens and preventing the

contamination during the slaughter process. Rapid pathogen detection could support

implementation of HACCP system. For this purpose, conjugated polymer based chemical

sensors will be developed for the rapid detection of important microbes of public health

importance like Salmonella and E. Coli at CCPs.

Objective 3: Development of tools for identification and traceability of pork.

Activity 1: Testing and adapting suitable radio and/ or near field communication devices

for tagging and tracing individual pigs: Crucial step in the traceability system is the

identification and coding of pigs. Individual pigs could be identified by using ear-tags of

different types like visible tags, radio frequency identification device (RFID), Near Field

Communication (NFC) code etc. These systems will be evaluated by implementation in the

selected farms. Best possible tags or tags suitable for different managemental conditions would

be recommended based on the experiments. Individual animals will be identified with

internationally accepted 15-digit numbers allotted by the International Committee for Animal

Recording (ICAR, Rome). Coding and enrollment system would also be developed for the

identification of farms, abattoirs, retail units, traders, veterinarians etc so as to hasten the

traceability.

Activity 2: Development of mobile applications for acquisition and transmission of data

from tagged pigs: Acquisition and transmission of information pertaining to each of the tagged

pigs or batch of pigs is the most important component of livestock traceability. For this purpose,

a mobile application based program will be developed. This app will help in periodic updating of

information pertaining to identified animal and making the information available at different

stages of pork value chain.

Activity 3: Designing of traceability information labeling on retail pork using bar code or

quick response code: Coding scheme and traceability labeling of pork will be selected by

comparing relative merits of different labeling techniques such as Bar-Code, Quick Response

(QR) Code, etc. Printability, cost, moisture resistance, readability and convenience will be

considered while finalizing coding scheme for labeling of market pork.

32

Objective 4: Development of piggery information management system for traceability and

pork safety.

Activity 1: Development of database system for traceability of pigs and pork: Traceability

system requires centralized database for collection, storage, retrieval and analysis of the data

related to pig and pork. This database will contain all the relevant information in the pig-to-pork

supply chain. Based on the unique identification code assigned for each pig or the label assigned

to a pork item, the database can be looked up for the origin of the pig, the abattoir where it was

slaughtered and any potential events that happened in the value chain. The database will be

updated for each animal to contain the information about the farms where it was bred, its journey

since enrollment and its health profile collected using the tools developed in the project. Access

to database will be supported both by using desktop and mobile applications. The database will

be created in a distributed fashion with inputs from various participants. The database would be

hosted at a common place for access from anywhere in

the country. Suitable steps would be taken while designing the database

system for its scalability during entry and retrieval of information

Activity 2: Development of decision support system for ensuring safety and quality of pork:

A decision support system would be developed to automatically identify unsafe pork with the

information available in traceability database about the identified slaughter animal and IRT

images recorded at various stages. The system will consider various factors in pork production to

develop a prediction system for pork quality.

Activity 3: Development of interface tools for access and usage of database by stakeholders:

Enrollment of animals, farms, abattoirs, veterinarians etc and periodic updating of information

would create a pool of information which will be useful in various ways. This information

combined with essential information required in piggery like suppliers of different farm

equipments, drugs & vaccine suppliers, veterinarians, diagnosis labs, abattoirs, potential pork

purchasers, potential pig purchasers, suppliers of breeding animals, artificial insemination

facilities, training facilities etc can make database as single window information on all aspects of

piggery. Interfaces will be created to help stakeholders to locate nearest veterinary facility, feed

suppliers, vaccine suppliers, AI facilities etc. This provision will encourage stakeholders to

become part of the traceability system and can help to support running expenses of the database.

33

Annexure 2:

List of References

• Berry R.J., Kennedy A.D., Scott S.L., Kyle B.L., Schaefer A.L. 2003. Daily variation in the

udder surface temperature of dairy cows measured by infrared thermography: Potential for

mastitis detection. Can. J. Anim. Sci. 83, 687–693.

• Geetesh K Mishra, Gautam Bacher, Utpal Roy, Sunil Bhand “A label free impedemetric

immunosensor for detection of Escherichia coli in water” ScienceJet (2015) 4:76

http://www.cognizure.com/sj.aspx?p=200638504

• Girish Patil, S., V. V. Kulkarni, A. R. Sen & M. Muthukumar (2014) Animal identification

and meat traceability: An Indian perspective. Published by National Research Centre on Meat,

Hyderabad, 103 pages.

• J. Enting, R. B. M. Huirne, A. A. Dikhuizen, M. J. M. Tielen (2000) Zovex, a knowledge

integrated computer system to support health management on pig farms. Computers and

Electronics in Agriculture, 26, 13 – 35.

• Lu, W. and Tan (2004) Analysis of image-based measurements and USDA characteristics as

predictors of beef lean yield. Meat Science, 66, 383 – 491.

• Monthanoli, Y.R., Swanson, K.C., Palme, R., Schenkel, F.S., McBride, B.W., Lu, D., Miller,

S.P. 2010. Assessing efficiency in beef steers through feeding behaviour, infrared

thermography and glucocorticoids. Animal, 4:5, 692-701.

• Pla, L. M., Pomar, C. & J. Pomar (2004) A sow herd decision support system based on an

embedded Markov model. Computers and Electronics in Agriculture, 45, 51 – 69.

• Souvik Pal, Sharma, Manoj, Chatterjee, Ratnamala & Bhand, Sunil “Multi-platform nano-

immunosensor for aflatoxin M1 in milk" Materials Research Express (2015) Vol. 2 Number

4; 045010. doi:10.1088/2053-1591/2/4/045010 (IOP)

• Stewart, M., Webster, J.R., Schaefer, A.L., Cook, N.j., Scott, S.L. 2005. Infrared

thermography as a non-invasive tool to study animal welfare. Animal Welfare, 14, 319–325.

• V. Poikalainen, J. Praks, I. Veermäe and E. Kokin (2012) Infrared temperature patterns of

cow’s body as an indicator for health control at precision cattle farming. Agronomy Research

Biosystem Engineering Special Issue 1, 187-194.

34

http://www.cognizure.com/sj.aspx?p=200638504

tel:045010

http://dx.doi.org/10.1088/2053-1591/2/4/045010

• D.J. Sykesa, J.S. Couvilliona, A. Cromiaka, S. Bowersa, E. Schencka, M. Crenshawa, P.L.

Ryan (2012) The use of digital infrared thermal imaging to detect estrus in gilts.

Theriogenology, 78, 147–152.

• N. Prieto, M. Juárez, I.L. Larsen, Ó. López-Campos, R.T. Zijlstra, J.L. Aalhus (2015) Rapid

discrimination of enhanced quality pork by visible and near infrared spectroscopy. Meat

Science, 110, 76–84.

• Jun-Hu Cheng and Da-Wen Sun (2015) Rapid and non-invasive detection of fish microbial

spoilage by visible and near infrared hyperspectral imaging and multivariate analysis. LWT -

Food Science and Technology 62 (2015) 1060-1068.

35

Annexure 3:

Details of Participating Organizations (LIN1) 1. Name : Indian Institute of Guwahati, Guwahati

2. Type of institution/organization (Central Govt., State Govt., Private, NGO)

: Central Government

3. Date of Establishment : 1 September 1994

4.

a) In case of non-public organisation/ institution please give the relevant accreditation/registration number

: NA

b) Total budget for the organization for the last two years : Rs 55,000 lakhs(Plan & Non plan) for two years

c) Major sources of funds (% wise) : Govt. of India (100 %)

5. Full address with phone number/fax number/e-mail id and website :

IIT Guwahati, Guwahati – 78039 Tel : +91 - 361 - 2690761 Fax : +91 - 361 – 2690762 [email protected] Web : http://www.iitg.ernet.in , http://www.iitg.ac.in

6.

Full address, designation, phone number/fax number/email id of the head of the institution/organization

:

Prof. Gautam Biswas, FNA, Director Indian Institute of Technology Guwahati Tel:+91-361-2690401Fax:+91-361-2692321 E-mail: [email protected]

7.

Research Staff strength (Category wise) of the institution (as on Sept. 2014)

: Faculty: 350 Technical Officer: 50 Research Scholar: 1531

8. Mandate of the Organization /Institution 1. Teaching undergraduate and postgraduate levels of Engineering, Science and Humanities 2. To conduct state of the art research and development in frontier areas of science and technology 3. To undertake sponsored research and consultancy 4. To cater to continuing education programmes of the Government of India 5. To organize conferences, seminars and Short term courses

9. Give a brief list of achievements of the institution/organization in the field or closely related field of the project proposal (half a page)

IIT Guwahati has entered the elite list of top 100 young universities of the world under 50 years. IIT

Guwahati is the only Indian entry. With this India has joined the top 100 under 50 for the first time. The Times

Higher Education 100 Under 50 2014 ranks IIT Guwahati at 87th. The ranking provides ‘a glimpse into the

future, showcasing not those institutions with centuries of history, but the rising stars which show great

potential. A large number of sponsored Research and consultancy project executed which is worth of Rs 400

36

mailto:[email protected]

http://www.iitg.ernet.in/

http://www.iitg.ac.in/

Tel:+91-361-2690401Fax:+91-361-2692321


crores. The Rural Technology Action Group (RuTAG) is a mission, conceptualized, initiated and sponsored by

Dr. R Chidambaram, Principal Scientific Adviser (PSA) to the Government of India. It aims at improving the

rural economy through appropriate S & T interventions in the traditional methods of production. The eight

states of the North East, viz., Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Tripura

and Sikkim, the communities of each have their own traditional life style and crafts and enterprises, mainly

based on the locally available resources, like, cane and bamboo, handicrafts and utility products, rearing of silk

worm and production of yarns and fabrics and pottery to name a few. To address this and upgrade rural

systems in terms of efficiency/ productivity which will help in boosting the rural economy of the North Eastern

Region, a centre of RuTAG was established in the year 2006 under the administrative control of IIT Guwahati.

Since its establishment, IITG through RuTAG-NE has been working towards attaining its

cherished goal by providing S&T interventions in the rural sector of the region for such systems that

have already been developed to a stage of functionality and are identified for further development.

For example, the traditional process of Eri Silk production is time consuming and laborious. IITG has

successfully set up a pilot project on production of plain Muga Silk fabric with power loom at the

Export Promotion Industrial Park (EPIP) at Amingaon, Guwahati. IITG has also designed and

developed a few accessory machines of power loom, like Pirn Winding Machine, Hank to Bobbin

Winding Machine and Sectional Warping Machine, which are of lower cost in comparison to what

are available in the market, and are now in use in weaving clusters in Sualkushi. A major concern of

Yak and cattle rearing in the high altitude region in Arunachal Pradesh is the scarcity of fodder during

the freezing winter season. Although there is abundance of fodder in the summer rainy season,

farmers cannot preserve the same due to non existence of adequate storage facility.

The National Research Centre on Yak (ICAR) at Dirang in Arunachal Pradesh and NRC on Mithun in

Nagaland have acquired a large machine, one each, at Dirang, Arunachal Pradesh and Jharnapani,

Nagaland, for Production of compressed feed block fortified with micro nutrients to supplement the

feed for Yaks and Mithun respectively during the lean season. This machine has been designed by

IARI, New Delhi. It costs around Rs 8-9 lakhs. IITG has developed a relatively smaller machine as a

model which can meet the requirement of groups of farming community/private farms at affordable

cost. The Darrangiri banana market in Goalpara District, Assam is considered to be one of the largest

banana markets in Asia. The farmers and traders carry bunches of banana on ordinary bicycle to the

market from the adjoining areas of Assam and Meghalaya. IITG has modified the design of the

bicycle, and has developed a more robust and user friendly bicycle for carrying more number of

bananas bunches.

37

Details of Participating Organizations (LIN2)

1. Name : ICAR – National Research Centre on Pig, Guwahati



3. Date of Establishment : 2002

4.

a) In case of non-public organisation/

institution please give the relevant

accreditation/registration number

:

NA

b) Total budget for the organization

for the last two years :

1391 lakhs (Plan & Non plan)

c) Major sources of funds (% wise) : Govt. of India (100 %)

5. Full address with phone number/fax number/e-mail id and website : ICAR – National Research Centre on Pig, Rani,

Guwahati 781 131 Assam. Telefax: 0361-2847195

6.

Full address, designation, phone number/fax number/email id of the head of the institution/organization :

Dr D. K. Sarma, Director, ICAR – National Research Centre on Pig, Rani, Guwahati 781 131

Telefax: 0361-2847195

E mail: [email protected]

7.

Research Staff strength (Category wise) of the institution (as on Sept. 2014)

:

Principal Scientist: 03

Senior Scientist: 05

Scientist: 04

8. Mandate of the Organization /Institution

1. To act as repository of information on pig production and health for regional, national and global

policy planning and implementation

2. To undertake basic, strategic and applied research in the areas of pig production and health including

product/ byproduct processing, value addition through quality control measures and transfer of the

evolved technologies to the client groups.

38



Indian Council of Agricultural Research, New Delhi established National Research Centre on

Pig, Rani, Guwahati in 2002 with the vision to bring in excellence in pig production, health and

product processing through innovative research in order to provide technology backstopping for

quality germplasm, enhanced pork production, employment generation and poverty reduction among

socially and economically weaker sections through medium of pig husbandry. Since its inception the

Centre is striving hard to provide research support in the area of pig health, breeding, nutrition,

physiology and pork processing. NRC on Pig is providing support for location specific research on pig

production in the country by running All India Coordinated Research Project on Pig with nine Centres

spread across different states. With the aim to make available superior germ plasm to farmers Mega

seed project is being run with four Centres. For popularizing pig production practices among

stakeholders and validation of the technology in the farmer’s field a Krishi Vigyan Kendra is working

under the administrative control of the Centre at Dudhnoi, Goalpara, Assam.

Centre has eleven Scientists working in different aspects of pig production and processing.

Centre has excellent pig farm with different breeds, state-of-the art laboratories and certified pork

processing plant. Several cross breed pigs have been developed to meet the requirement of different

regions of the country. Important among them is Ghungaroo X Hampshire which is displaying

superior performance in North Eastern states. To promote quality pigs extensive artificial

insemination program is being undertaken in field. Till date about 15,000 piglets have born with the

artificial insemination program of the Centre benefiting more than 100 households. To enhance

profitability different value added pork products have been developed and commercialized for

employment generation and to promote entrepreneurship. Commercial unit established by an

entrepreneur under the technology transfer program of the Centre is marketing value added pork

products in about 140 retail units distributed across north eastern states. Centre is also undertaking

disease monitoring program to study the prevalence of different diseases. Centre is running/

completed about ten externally funded projects. More than sixty research articles have been published

in National & International journals of repute. About fifty different training programs have been

arranged till date covering farmers, academicians, field veterinarians, entrepreneurs, students etc

benefiting more than two thousand stakeholders.

39

Details of Participating Organizations (PIN1a)

1. Name : Tezpur University


: Central Govt.

3. Date of Establishment : 21-01-1994

4.




:

NA



2013-14: Non-Plan:3970.5 L, Plan:4691.25 Lakhs 2014-15: Non-Plan: 4885.25 L, Plan : 1400 lakhs

c) Major sources of funds (% wise) : MHRD, Other Govt. R& D Organizations like – UGC, DBT, ICMR, DST. DeitY, DRDO, AICTE etc


Department of Computer Science & Engineering, Tezpur University, Napaam, Tezpur – 784 028, Assam, Phone: 03712-275356(O), Fax: 03712- 267005, email: [email protected], website: http://agnigarh.tezu.ernet.in/~nitya

6.


Prof. Mihir Kanti Chaudhuri, Vice-Chancellor, Tezpur University, Napaam, Tezpur – 784 028, Assam, Phone: 03712-267003(O), Fax: 03712-267006, email: [email protected]

7. Research Staff strength (Category wise) of the institution (as on Sept. 2014)

: 149 (SRF : 34, JRF : 53, other Research Staff: 62)


1. Education at Undergraduate, Post Graduate and Doctoral Levels 2. Research 3. Consultancy etc. 9. Give a brief list of achievements of the institution/organization in the field or closely related

40


field of the project proposal (half a page)

Department of Computer Science and Engineering, Tezpur University has successfully carried out R&D projects in Information Technology related field, amounting to Rs. 10.00 Cr. (Approx). Details are available at http://www.tezu.ernet.in/dcompsc/

Details of Participating Organizations (PIN1b) 1. Name : Manipur University



3. Date of Establishment : October 13, 2005

4.


: NA

b) Total budget for the organization for the last two years

:

2013-14: Non-Plan: 7925.45 Lakhs, Plan: 18573.60 Lakhs 2014-15: Non-Plan: 9506.14 Lakhs, Plan: 18598.56 Lakhs

c) Major sources of funds (% wise) : MHRD, UGC, DBT, ICMR, ICSSR, ICHR, CSIR, DST, DeitY etc.


Department of Computer Science Manipur University, Canchipur, Imphal-795003.

6.


Prof. H. Nandakumar Sarma, Vice-Chancellor Manipur University, Canchipur, Imphal-795003. [email protected]


: 208(UGC:161, DST-Inspire: 6, ICMR: 1, ICSSR: 10, ICHR: 1, DBT: 3, CSIR: 14, Post- Doc: 12)

8. Mandate of the Organization /Institution 1. Education at UG, PG and Ph.D. levels 2. Research and Development Activity 3. Consultancy etc.

41


Department of Computer Science, Manipur University has successfully carried out R&D project in IT related field namely Manipuri language Culture and Language Technologies funded by earlier called DIT, Govt. of India, New Delhi. The details are available at http://en.manipuruniv.ac.in/DMLTwebsite/home%20page.html/

Details of Participating Organizations (PIN2a)

1. Name : ICAR – Research Complex for NEH Region, Barapani, Meghalaya




4.




:

Not applicable



Nearly 400 Crores both plan and non plan

c) Major sources of funds (% wise) : ICAR (80%), DBT, DST, NEC, MoEF, NABARD (20%)


ICAR Research Complex for NEH, Barapani, Umiam, Meghalaya 793193, Fax- 03642570355, Phone- 03642570257, website www.icarneh.ernet.in, email [email protected]

6.


Dr S.V. Ngachan, Director, ICAR Research Complex for NEH, Barapani, Umiam, Meghalaya 793193, Fax- 03642570355, Phone- 03642570257, website www.icarneh.ernet.in, email [email protected]


: Scientists- 162, Technical- 92, Administrative-84 and Supporting Staff-182


42

http://www.icarneh.ernet.in/




1) Development of sustainable farming systems for different agro-climatic and socio-economic zones of the region

2) Improvement in the productivity of different crops, live stocks and aquatic fauna through the development /screening of varieties and agro-techniques Improvement in rain-fed agriculture through watershed based approach

3) Development of local competence through training on agriculture and allied sectors 4) Development of effective linkages with other development departments,FINANCING agencies and

SAUs CAUs operating in the region 5) To maintain database and act as a repository of information centre on agriculture and allied sectors and

to provide consultancy in the above areas including plant and animal bio-technology 6) Germplasm exchange, research update in a collaborative mode with other national and international

agencies


• Standardized the method of collection of semen, evaluation, dilution and processing and preservation of boar semen.

• Boar semen was successfully preserved in liquid state at 15-18oC & in frozen state at -196o C. • Standardized the technique of A.I. in pig. • First A.I. born piglets were produced after insemination of sow with frozen thawed boar semen. • Studied the sperm damage during the process of freezing and post thawing by fluorescent staining

and Electron microscopy. • Artificial Insemination in Pig • Popularized the A.I. technology by field demonstration and training. • 240 inseminations were done in 26 selected villages in Ri-Bhoi district and obtained 79.40%

pregnancy rate with average litter size of 8.2. • 80% of farmers adopted the A.I. technology in the selected villages. • Five training programmes were organized for the educated unemployed youths and Veterinary Field

Assistants (VFA) regarding A.I. • Five training programmes were conducted for State Veterinary Officers where 70 Veterinary

Officers were trained regarding modern pig breeding management and A.I. • Six training programmes were conducted for the farmers on pig management and breeding. • Development of three breed cross pig • Three breed cross pig was developed by crossing Hampshire male with selected local female pigs

and F1 female was again crossed with Duroc male in order to get lean meat along with good mothering ability, high litter size and better adaptability to the local conditions..

• Duroc pigs were procured from NRC on Pigs and their productive and reproductive performance was evaluated under Meghalaya conditions.

• Growth performance of three breed cross pigs are under progress. • Pig-Fish Integration • Integrated pig-Fish model was developed at Livestock Farm Complex with the pond area of 0.05 ha

in order to get better profitability per unit area with optimum utilization of pig dung and other farm

43

resources like vegetables etc. • 20-30% of pig feed was replaced by feeding vegetables and other cole crops grown in the field

while no supplementary feed was given to the fish except the dung of two pigs was put daily in to the pond.

• During the six month study period, fish production was @ 10.75 t/ha while pigs attained the average body weight of 92.56 kg.

Details of Participating Organizations (PIN 2b)

1. Name : College of Veterinary Sciences & Animal

Husbandry, Central Agricultural University, Selesih, Aizawl, Mizoram - 796014

2. Type of institution/organization : Central Government

(Central Govt., State Govt., Private,

NGO)


4a) In case of non-public organization/ : NA


accreditation/ registration number

4b) Total budget for the organization : NA

for the last two years

4c) Major sources of funds (% wise) : NA

5. Full address with phone number/ : Dean, CVSc&AH, CAU, Selesih, Aizawl, Mizoram

fax number/e-mail id and website www.cvsccauaizawl.edu.in, TeleFAX: 0389 2361748, Email:

[email protected]

6. Full address, designation, phone : Dean, College of Veterinary Sciences & Animal

number/fax number/email id of the Husbandry, Central Agricultural University, Selesih,

44

http://www.cvsccauaizawl.edu.in/

head of the institution/organization Aizawl, Mizoram – 796014

TeleFAX: 0389 2361748,

Email: [email protected]

7. Research Staff strength (Category : Professor: 06

wise) of the institution (as on Associate Professor: 11

April 1, 2009) Assistant Professor: 31

8. Mandate of the Organization /Institution:

• To impart education in different branches of Veterinary Sciences & Animal Husbandry

• To further the advancement of learning and prosecution of research on Veterinary Sciences & Animal

Husbandry

• To undertake programmes of extension education in the States under its jurisdiction

• To undertake such other activities in the fields of Veterinary Sciences & Animal Husbandry as it may deem

fit from time to time.

9. Give a brief list of achievements of the institution/organization in the field or closely related field of the

project proposal (half a page)

In teaching, the intake capacity of the students in BVSc &AH per year is 67. The MVSc programme has

been initiated in all the 16 departments with the intake capacity of 59 students. Ph. D. programme is also introduced

in the year 2006 and at present 6 departments are offering Ph.D. degree programme with an intake capacity of 11

students. Collaboration with few national institute and State Agricultural University has been established to

strengthen the academics and research activity of the PG and Ph.D students.

Graduates (BVSc&AH) of the college are performing very well since 2005. So far, 261 students appeared in

ICAR-JRF examination for higher studies and 247 qualified for counseling. A total of 179 graduates got admission

in prestigious national institutes and other SAUs of India, of which 34 got selected for JRF. Graduates of this college

are also placed in various universities, ICAR, civil services and in state departments as veterinary officers. The

college is actively engaged in research and development programmes on need based prioritized researchable areas.

The college research advisory committee (CRAC) is directly and actively involved in prioritization, formulation and

implementation of the research activities. Currently, the college has developed few laboratory facilities on

45

diagnostics, biotechnology, microbiology & epidemiology, pathology, basic sciences and also state of art facility for

clinical intervention of the animals.

Till date, the college has concluded 37 university funded research projects and 2 externally funded research

projects. A total of 17 university projects and 24 externally funded projects are on-going with the fund allocation of

approximately Rs. 30.0 crores. During last 16 years the faculty members published more than 300 research papers in

national and international reviewed journal. So far the college has developed 2 deliverable technologies for

improvement of animal production and productivity.

Details of Participating Organizations (PIN2c)

1. Name : Veterinary College, Karnataka Veterinary, Animal and Fisheries Sciences University, Shivamogga, Karnataka


: State Government University, Govt. of Karnataka (Central Govt., State Govt., Private, NGO)

3. Date of Establishment : 11.09.2006 (Veterinary College, Shivamogga)

4.


: Not applicable

b) Total budget for the organization for the last two years :

2012-13 Rs. 20,00,00,000/- 2013-14 Rs. 15,67,63,000/

c) Major sources of funds (% wise) : Govt. of Karnataka (almost all)


Veterinary College, Vinobanagar, PB 53, Shivamogga, Karnataka- 577 204 Tel: 08182-651001, FAX: 08182-920320 Email: [email protected], University website: http://www.kvafsu.kar.nic.in

6.

Full address, designation, phone number/fax number/email id of the head of the institution/organization

:

Dr. R.V. Prasad, Dean Veterinary College, Vinobanagar, PB 53 Shivamogga, Karnataka- 577 204 Tel (O): 08182-651001, FAX: 08182-920320 Cell No. 09449855893 Email (O): [email protected], Email (P): [email protected],

46


: Professors 8, Associate Professors 7, Assistant Professors 31, Ad hoc Teachers 15

8. Mandate of the Organization /Institution 1. Teaching 2. Research 3. Extension 4. Disease investigations & implementation of state and central government programs


Veterinary College, Shivamogga came into existence on 11.09.2006 as one of the constituent colleges of Karnataka Veterinary, Animal & Fisheries Sciences University- Bidar. In the area of pig production and health management, the college has made contributions as follows, • Established pig farm with large white Yorkshire breed under the auspices of Rastriya Krishi Vikas Yojana (RKVY). Under this project poor, marginal and landless pig farmers have been given the elite germ-plasm to upgrade their local Desi type pigs. • Genetic up-gradation using Duroc breed is underway in the college farm. • Raising pigs with Kitchen waste Model has been developed. • Pig farmer friendly progress has been made by identifying pig rearing people. The college has imparted several trainings on varied aspects of selection, management, health care and economic aspects of pig husbandry. • A semi-modern type slaughter house is under construction to be used as a demonstration unit. • The slogan of the institute is ‘Farmer friendly and rural oriented’, hence the activities are mostly focused on the rural farmers.

47

Annexure 4

CV of the PI from LIN1 1. Name : Professor (Dr.) Sukumar Nandi 2. Sex : Male

3. Designation :

Professor Computer Science & Engineering Senior Member ACM Senior Member IEEE Fellow of the Institution of Engineers (India) Fellow of the Institution of Electronics and Telecommunication Engineers (India)

4. Address : Dept of CSE, Indian Institute of Technology, Guwahati, Guwahati -781039

5. Tel / Fax No :

:+91-361-2582357(O), +91 - 3612584357(R) +91954065269(M) Fax: +91 –361 2692787, 361 2690762

6. E-mail : [email protected], [email protected]

7. Date of Birth : 21st November 1962

8.

Name of Institute / Centre Postal Address of the Institution with Tel/ Fax No. and E-mail

:

Indian Institute of Technology Guwahati, Guwahati -781039 Tel : +91 - 3612690761 Fax : +91 3612690762 E mail: [email protected] Web : http://www.iitg.ernet.in , http://www.iitg.ac.in

9. Highest Qualification : Ph.D.

48

mailto:[email protected]%23_blank

mailto:[email protected]%23_blank


http://www.iitg.ernet.in/

http://www.iitg.ac.in/

10. List not more than 10 major achievements in the past five years:

1) One of the principal members for executing two (2) multi-institute consorsium projects funded by Department of Electronics and Information Technology (DeiTy), Govt. of India.

2) Since 2011, Member Working Committee in “R&D in IT” and “E-Security”, Department of Electronics and Information Technology (DeiTy), Govt. of India.

3) Since 2007, Member or Chairman of several Project Review Steering Group of projects funded by DeiTy, Govt. of India.

4) Dr Sandip Chakraborty received Indian National Academy of Engineering (INAE) Innovative Student Projects Award - 2014 (Doctoral Level) for his Ph D thesis work on "Capacity Enhancement, QoS and Rate Adaptation in IEEE 802.11s: A Performance Improvement Perspective" under my supervision.

5) Deputy Director, IIT Guwahati from September 3, 2012 to March 31, 2015. 6) Dean of Academic Affairs, IIT Guwahati from July 7, 2008 to September 2, 2012. 7) Since January 2015, I am serving as a Member Board of Governors, Triguna Sen School of

Technology, Assam University, Silchar. 8) Since May 2013, I am serving as a Member Senate, National Institute of Technology,

Manipur and National Institute of Technology, Mizoram. 9) From December 2012 to March 2015, I was a Member Board of Governors, National

Institute of Technology, Arunachal Predesh. Since April 2012, I am serving as a Member Academic Council, Bodoland University, Assam and North Eastern Regional Institute of Science & Technology, Arunachal Pradesh.

11 a) List not more than 5 best publications in the past five years

1) B K Patra, R Launonen, V Ollikainen and S. Nandi, "A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data", in the Knowledge-Based Systems (Accepted). 2) N Sett, S R Singh and S Nandi, "Influence of Edge Weight on Node Proximity Based Link prediction Methods: an empirical analysis", in Neurocomputing (accepted).

3) B K Patra, and S. Nandi, "Effective data summarization for hierarchical clustering in large datasets", Knowledge and Information Systems, Vol. 42, No. 1, pp. 1-20, January 2015 (DOI 10.1007/s10115-013-0709-8). 4) B. K. Patra, S. Nandi, P. Viswanath, "A distance based clustering method for arbitrary shaped clusters in large datasets", Pattern Recognition, Vol. 44, No. 12, pp. 2862-2870, December 2011 (Available online 13 May 2011). 5) B. K. Patra and S. Nandi, "Tolerance Rough Set Theory based Data Summarization for Clustering Large Datasets", International Journal of Transactions on Rough Sets XIV, LNCS 6600, pp 139-158, 2011.

11 b) List of ten best publications in whole career 1) S Chakraborty and S Nandi, "Distributed Service Level Flow Control and Fairness in Wireless Mesh Networks", in the IEEE Transactions on Mobile Computing (Accepted).

2) S Chakraborty, S Sarma and S Nandi, "MAC Layer Channel Access and Forwarding in a Directional Multi-Interface Mesh Network" in the IEEE Transactions on Mobile Computing, Vol

49

14, No. 3, pp. 565-578, March 2015. (Accepted; DOI 10.1109/TMC.2014.2326666) 3) A Sarma, S Chakraborty, S Nandi, "Context Aware Handover Management: Sustaining QoS and QoE in a Public IEEE 802.11e Hotspot", in the IEEE Transactions on Network and Service Managemen. Vol. 11, No. 4, pp. 530-543, December 2014. 4) S Chakraborty, S Chakraborty, S Nandi and S Karmakar, "ADCROSS: Adaptive Data Collection from Road Surveilling Sensors", IEEE Transactions on Intelligent Transportation Systems, Vol. 15, No. 5, pp. 2049-2062, October 2014.

5) S Chakraborty and S Nandi, "IEEE 802.11s Mesh Backbone for Vehicular Communication: Fairness and Throughput", IEEE Transactions on Vehicular Technology, Vol. 62, No. 5, pp. 2193-2203, 2013. 6) B. K. Patra, S. Nandi, P. Viswanath, "A distance based clustering method for arbitrary shaped clusters in large datasets", Pattern Recognition, Vol. 44, No. 12, pp. 2862-2870, December 2011 (Available online 13 May 2011). (20 citations)

7) Nityananda Sarma and Sukumar Nandi, "Route Stability based QoS Routing in Mobile Ad Hoc Networks", special issue of the Wireless Personal Communications, Vol. 54, pp. 203-224, 2010 . (47 citations)

8) Zhifei Li, A Das, A K. Gupta, and S Nandi, " Full Auto Rate MAC Protocol for Wireless Ad Hoc Networks ", IEE proceedings - communications, Vol. 152, No. 3, pp. 311 - 319, June 2005. (57 citations) 9) S. Nandi and P. Pal Chaudhuri, "Analysis of Periodic and Intermediate Boundary 90/150 Cellular Automata", IEEE Trans. on Computers, Vol. 45, No. 1, pp. 1-12, January 1996. (51 citations) 10) S. Nandi, B. K. Kar and P. Pal Chaudhuri, "Theory and Applications of Cellular Automata in Cryptography", IEEE Trans. on Computers, Vol. 43, No. 12, pp. 1346-1357, December 1994. (342 citations)

12. List not more than five best multi-disciplinary/multi-institution projects in which the

scientist has worked as PI and as partner.

• Sponsoring Agency: Department of Information Technology Title : Development of Person Authentication System based on Speaker Verification in Uncontrolled Environment Principal Investigators : S. R. Mahadeva Prasanna Co-Investigator : R Sinha, S Nandi Date of Start: April 2009 Date of completion: March 2012

• Sponsoring Agency: 2007 HP Technology for Teaching Higher Education Grant Title : A Testbed for e-Learning System Principal Investigators : S Nandi Co-Investigator : D Goswami, J K Deka, S V Rao Date of Start: April 2007 Date of completion: March 2010

• Sponsoring Agency: Department of Information Technology Title : Information Security Education and Awareness Principal Investigators : S Nandi

50

Co-Investigator : G Sajith Date of Start: May 2006 Date of completion: March 2014

• Sponsoring Agency : National Institute of Information and Communication, Japan Title : Seamless Handover Issues in Next Generation Wireless Networks Principal Investigators : S Nandi Co-Investigator : G Barua and R Bhattacharjee Date of Start: September 2005 Date of completion: July 2006

• Consultancy Sponsoring Agency : Orissa Power Transmission Corporation Limited Title : ERP Consultancy for OPTCL Principal Investigator: Prof G Barua Co-Investigator: S Nandi Date of Start: August 2006 Date of Completion: December 2010

13. List the projects in which the scientist has been working now

• Sponsoring Agency: Department of Electronics and Information Technology, Govt. of India Title: Multi-Modal Broadcast Analytics - Structured Evidence Visualization for Events of Security Concern Principal Investigators: Prithwijit Guha Principal Co-Investigator: Sanasam Ranbir Singh Co-Investigator: S Nandi, S. R. Mahadeva Prasanna Date of Start: March 2013 Date of completion: March 2016

• Sponsoring Agency: Department of Electronics and Information Technology, Govt. of India Title: Digital preservation and analysis and technology development of language of the North East Principal Investigators: Shakuntala Mahanta Principal Co-Investigator: S. R. Mahadeva Prasanna Co-Investigator: S Nandi, Priankoo Sarma ate of Start: February 2013 Date of completion: January 2016

• Sponsoring Agency: Department of Electronics and Information Technology, Govt. of India Title : On-line Testing of Complex VLSI Circuits using FDD Theory of Discrete Event System Principal Investigator : Santosh Biswas Co-Investigator : S Nandi , J K Deka Date of Start: February 2013 Date of completion: January 2016

• Sponsoring Agency: Department of Information Technology Title : Speech based multi-level person authentication system Principal Investigators : S. R. Mahadeva Prasanna Principal Co-Investigator: Sukumar Nandi; Co-Investigator : R Sinha

Date of Start: April 2012 Date of completion: August 2015

14. The amount of time he/she can afford to devote for this project

40 %

Date:

Signature

51

CV of the PI from LIN2

1. Name : Dr Girish Patil, S

2. Sex : Male

3. Designation : Senior Scientist

4. Address : ICAR – National Research Centre on Pig, Rani, Guwahati 781 131

5. Tel / Fax No : 09401262522

6. E-mail : [email protected]

7. Date of Birth : 26th March 1976

8.

Name of Institute / Centre

Postal Address of the Institution with Tel/ Fax No. and E-mail

:

ICAR – National Research Centre on Pig, Rani, Guwahati 781 131 Assam E mail: [email protected] Telefax: 0361-2847195



1. Awarded ICAR – Lal Bahadur Shastri Outstanding Young Scientist Award in 2011 for contribution in the field of Veterinary Science.

2. Awarded National Academy Agricultural Sciences Young Scientist Award in 2010 for contribution in the field of Animal Science.

3. Established two feed processing units under world bank funded National Agricultural Innovation Project (as PI) at Nellore, Andhra Pradesh and Mahabubbnagar, Telangana for the benefit of stakeholders.

52



4. Established one model abattoir at Veterinary college, Tirupati under world bank funded National Agricultural Innovation Project (as PI).

5. Organized about twenty programs like conferences, workshops, training program to stakeholders on various aspects of meat industry.

6. Developed molecular techniques for meat speciation and detection of meat adulteration. 7. Developed first meat traceability system in the country (www.livestocktraceindia.com) for

buffalo meat industry with funding from Indian Council of Agricultural Research under Lal Bahadur Shastri Outstanding Young Scientist Award.

8. Undertaken several technology transfer programs. Provided technical consultancy for establishing one entrepreneurial emu slaughterhouse at Vijaywada, Andhra Pradesh.

9. Developed molecular techniques for meat traceability using microsatellite genotyping. 10. Worked for promoting scientific sheep production practices in Andhra Pradesh and

Telangana. About 6000 ram lambs were reared to larger weight on the farmer’s premises by providing feed supplementation.


1) Girish, P. S., Haunshi, S., Vaithiyanathan, S., Rajitha, R. & Ramakrishna, C. (2011) A rapid method for authentication of Buffalo (Bubalus bubalis) meat by alkaline lysis method of DNA extraction and species specific polymerase chain reaction. Journal of Food Science & Technology, 50 (1):141–146. 2) Girish P.S., Baswa Reddy P., Ramakrishna C., Y. Ramana Reddy, Chava Satish and Kondaiah, N. (2012) Effect of nutrient supplementation on growth performance and carcass characteristics of Nellore ram lambs – An on-farm evaluation study. Indian Journal of Animal Science, 82 (12): 1601 – 1602. 3) Vaithiyanathan, S., Naveena, B. M., Muthukumar, M., Girish, P. S. and N. Kondaiah (2011) Effect of dipping in pomegranate (Punica granatum) fruit juice phenolic solution on the shelf life of chicken meat under refrigerated storage (40 C), Meat Science, 88: 409 – 414.

4) Nagappa S. Karabasanavara, S.P. Singh, Umapathi V., Girish Patil, Sunil N. Shebannavare & Deepak Kumar (2011) Authentication of carabeef (water buffalo, Bubalus bubalis) using highly specific polymerase chain reaction. European Food Research & Technology, 233 : 985 – 989.

5) Naveena, B. M., Sen, A. R., Muthukumar, M., Girish, P. S., Praveen Kumar, Y. & Kiran, M. (2013) Carcass characteristics, composition, physic-chemical, microbial and sensory quality of emu meat. British Poultry Science, 54 (03), 329 – 336.

11 b) List of ten best publications in whole career 1) Girish, P.S, Anjaneyulu, A.S.R., Viswas, K.N., Anand, M., Rajkumar, N., Shivakumar, B.M. and Sharma Bhaskar (2004) Sequence analysis of mitochondrial 12S rRNA gene can identify meat species. Meat Science, 66: 551-556.

2) Girish, P.S, Anjaneyulu, A.S.R., Viswas, K.N., Shivakumar, B.M., Anand, M., Patel, M. and Sharma, B. (2005) Meat species identification by Polymerase chain reaction – restriction

53

http://www.livestocktraceindia.com/

fragment length polymorphism (PCR-RFLP) of mitochondrial 12S rRNA gene. Meat Science, 70:107-112.

3) Girish, P. S., Haunshi, S., Vaithiyanathan, S., Rajitha, R. & Ramakrishna, C. (2011) A rapid method for authentication of Buffalo (Bubalus bubalis) meat by alkaline lysis method of DNA extraction and species specific polymerase chain reaction. Journal of Food Science & Technology, 50 (1):141–146. 4) Girish, P. S., Sanyal, M. K., Anjaneyulu, A. S. R., Keshari, R. C. and Naganath, M. (2004) Quality of chicken patties incorporated with different milk proteins. Journal of Food Science and Technology, 41 (5), 511 - 515.

5) Girish, P.S, Anjaneyulu, A.S.R., Viswas, K.N., Santhosh, F.H., Bhilegaonkar, K.N., Agarwal, R.K., Kondaiah, N. and Nagappa, K. (2007) Polymerase Chain Reaction – Restriction Fragment length Polymorphism of Mitochondrial 12S rRNA gene : A simple method for identification of poultry meat species. Veterinary Research Communications, 31 (04): 447-455.

6) Girish, P.S., A S R Anjaneyulu, Viswas K Nagaleekar, Santhosh Haunshi, K N Bhilegaonkar, R K Aggarwal & N. Kondaiah (2009) Poultry meat speciation by sequence analysis of mitochondrial 12S rRNA gene. Indian Journal of Animal Science, 79 (02), 217 – 220.

7) Girish P.S., Baswa Reddy P., Ramakrishna C., Y. Ramana Reddy, Chava Satish and Kondaiah, N. (2012) Effect of nutrient supplementation on growth performance and carcass characteristics of Nellore ram lambs – An on-farm evaluation study. Indian Journal of Animal Science, 82 (12): 1601 – 1602.

8) Santosh Haunshi, Rantu Basumatary, Girish, P.S., Sunil Doley, Bardoloi, R. K. and Ashok Kumar (2009) Identification of chicken, duck, pigeon and pig meat by species-specific markers of mitochondrial origin. Meat Science, 83, 454 – 459.

9) Vaithiyanathan, S., Naveena, B.M., Muthukumar, M., Girish, P.S., Ramakrishna, S., Sen, A.R. and Babji, Y. (2008) Biochemical and physico chemical changes in spent breast meat during post mortem ageing. Poultry Science, 87 : 180-186.

10) Nagappa S. Karabasanavara, S.P. Singh, Umapathi V., Deepak Kumar, Girish Patil & Sunil N. Shebannavare (2011) A highly specific PCR assay for identification of raw and heat treated mutton (Ovis aries). Small Ruminant Research, 100 (02): 153 – 158.



1. Principal Investigator of World Bank funded National Agricultural Innovation Project, ‘Value chain for clean meat production from sheep’ (Total funding: Rs 3.69 Crore). Project was collaborative effort between five Institutions viz., Sri Venkateshwara Veterinary University

54

(SVVU), Tirupati, Mandava Foundation, Venkatachalam, Nellore, AP (NGO), Department of Animal Husbandry, Nellore, AP and Alkabeer Exports Pvt Ltd., Rudra ram village, Medak, AP

2. Co Principal Investigator of Ministry of Statistics & Program Implementation funded research project on, ‘A Study on State Wise Yield of Meat and Byproducts of Cattle, Buffalo, Goat, Sheep, Pig and Poultry’. Project involved five partner Institutions from different states of India.

3. Principal Investigator of ICAR – NRC on Pig centre of the Research program on, ‘Entrepreneur development, capacity building and survey of meat production and meat products preparation in NEH region’ being implemented in collaboration with ICAR – National Research Centre on Meat, Hyderabad (lead centre) and ICAR RC for NEH Region, Barapani, Meghalaya.


Principal Investigator: Ministry of Food Processing Industries funded research Project,

‘Development of shelf stable pork products using retort processing technology for promoting

entrepreneurship in north eastern regions of India’. (Fund: Rs 45 lakh; Period: 2015 – 2017).


60 %

Date:

(Signature)

55

CV of the PI from Each PIN1a

1. Name : Dr Nityananda Sarma

2. Sex : Male

3. Designation : Professor in Computer Science & Engineering

4. Address : Dept of Computer Science & Engineering, Tezpur University, Napaam – 784 028, Assam

5. Tel / Fax No : Tel: 03712-275356 (O), Fax: 03712-267005

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7. Date of Birth : 28-05-1968

8.



:

Tezpur University, Napaam, Tezpur -784028 Tel: 03712-273101 (O), Fax: 03712-267005 Email: [email protected]

9. Highest Qualification : Ph.D. in Computer Science & Engineering


a. Awarded with Amiya K Pujari Best Paper Award for ICIT 2014, Bhubaneswar, India.

b. Elected as Fellow of Institution of Electronics and Telecommunication Engineers, India, 2014


1. N Sarma and S Nandi, Enhanced Service Differentiation using Priority based MAC Protocol

for MANETs, Int. J. Computer Networks and Distributed Systems (IJCNDS), Inder science, Vol.

8, No. 1/2, pp. 149-187, January, 2012.

2. B C Chatterjee, N Sarma and P P Sahu, Priority based Dispersion-reduced Wavelength

Assignment for Optical Networks, IEEE/OSA Journal of Lightwave Technology, vol. 31, no.2,

pp.257-263, January, 2013.

3. B C Chatterjee, N Sarma and P P Sahu, A QoS-aware wavelength assignment scheme for

Optical Networks, Optik - Int. J. Light Electron Opt., vol. 124, no.20, pp.4498-4501, October

2013.

4. I Hussain, Z I Ahmed, N Sarma and D K Saikia, A QoS-aware Dynamic Bandwidth

Allocation Scheme for Multi-hop WiFi-based Long Distance Networks, accepted for publication

in EURASIP Journal on Wireless Communications and Networking, 2015.

5. B C Chatterjee, N Sarma and E Oki, Routing and Spectrum Allocation in Elastic Optical

Networks: A Tutorial, accepted for publication in IEEE Communications Surveys and Tutorials,

May 2015.

11 b) List of ten best publications in whole career 1. N Sarma and S Nandi, A Cross-layer QoS mapping framework for Mobile Ad Hoc networks,

IETE Technical Review, Vol. 25, No. 6, pp. 346-358, Nov-Dec 2008.

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2. N Sarma and S Nandi, "Route Stability based QoS Routing in Mobile Ad Hoc Networks",

Wireless Personal Communications (Springer), vol.54, no. 1, pp.203-224, July 2010.

3. N Sarma and S Nandi, Service Differentiation using Priority based MAC Protocol in

MANETs, Int. J. Internet Protocol Technology, Vol. 5, No. 3, pp.115-131, September 2010.

4. B Bhuyan, H K D Sarma, N Sarma, A Kar and R Mall, Quality of Service (QoS) Provisions

in Wireless Sensor Networks and Related Challenges, Wireless Sensor Networks, Vol. 2, No.11,

PP.861-868, November 2010. (DOI:10.4236/wsn.2010.211104)

5. N Sarma and S Nandi, A Multipath QoS Routing with Route Stability for Mobile Ad Hoc

Networks, IETE Technical Review, Vol. 27, No. 5, pp. 380-397, September-October, 2010,

(doi:10.4103/0256-4602.62592).

6. N Sarma and S Nandi, Enhanced Service Differentiation using Priority based MAC Protocol

for MANETs, Int. J. Computer Networks and Distributed Systems (IJCNDS), Inderscience, Vol.

8, No. 1/2, pp. 149-187, January, 2012.

7. B C Chatterjee, N Sarma and P P Sahu, Priority based Dispersion-reduced Wavelength

Assignment for Optical Networks, IEEE/OSA Journal of Lightwave Technology, vol. 31, no.2,

pp.257-263, January, 2013.

8. B C Chatterjee, N Sarma and P P Sahu, A QoS-aware wavelength assignment scheme for

Optical Networks, Optik - Int. J. Light Electron Opt., vol. 124, no.20, pp.4498-4501, October

2013.

9. I Hussain, Z I Ahmed, N Sarma and D K Saikia, A QoS-aware Dynamic Bandwidth

Allocation Scheme for Multi-hop WiFi-based Long Distance Networks, accepted for publication

in EURASIP Journal on Wireless Communications and Networking, 2015.

10. B C Chatterjee, N Sarma and E Oki, Routing and Spectrum Allocation in Elastic Optical

Networks: A Tutorial, accepted for publication in IEEE Communications Surveys and

Tutorials, May 2015.



DeitY funded project “Implementation of Distributed Honeynet System at N.E. to collect,

distribute and analyze live cyber-attack data” submitted to North East Steering Committee, May

2015- April 2018, PI. Shri D. K. Jain, Director, C-DAC, Mohali, Total Project Outlay: Rs.

181.24 Lakhs, as Co-PI from Tezpur University (Partner Institute);

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1. DeitY funded project “MAC Protocols Design for Cognitive Radio Networks”, March 2013 –

September 2015, P.I. Dr. N. Sarma, Total Project Outlay : Rs 72.84 Lakhs

2. DeitY funded project “Implementation of Distributed Honeynet System at N.E. to collect,

distribute and analyze live cyber-attack data” submitted to North East Steering Committee, May

2015- April 2018, PI. Shri D. K. Jain, Director, C-DAC, Mohali, Total Project Outlay: Rs.

181.24 Lakhs, as Co-PI from Tezpur University (Partner Institute).


30 %

Date: 16.06.2015

(Signature)

CV of the PI from Each PIN1b

1. Name : Dr. Khumukcham Robindro Singh.

2. Sex : Assistant Professor

3. Designation : Department of Comp. Sc., Manipur University.

4. Address : Manipur University, Canchipur-795003

5. Tel / Fax No : +91-94850-44453

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6. E-mail : Email: [email protected]

7. Date of Birth : 01/03/1980

8.


: Manipur University, Canchipur-795003 Tel: +91 385 24355055, Fax: +91 385 2435145

9. Highest Qualification : Ph.D. in Computer Science



1. “An Expert System for diagnosis of diseases in Rice Plant,” International Journal of Artificial Intelligence and Expert System, vol. 1, no. 1, pp. 26-31., 2010. 2. “Knowledge Acquisition Process of an Expert System for Rice Plant Disease Diagnosis,” International Research Journal of Computer Science Engineering and Applications (IRJCSEA), Vol 1, Issue 1, pp. 66-70., October 2012. 3. “JESS Based Expert System Architecture for Diagnosis of Rice Plant Diseases: Design and Prototype Development,” IEEE CONFERENCE PUBLICATIONS ISMS2013, Fourth International Conference on Intelligent Systems, Modelling and Simulation, Bangkok (Thailand), 29-31 January, 2013. Page(s): 674-676). 11 b) List of ten best publications in whole career 1. “An Expert System for diagnosis of diseases in Rice Plant,” International Journal of Artificial Intelligence and Expert System, vol. 1, no. 1, pp. 26-31., 2010. 2. “Knowledge Acquisition Process of an Expert System for Rice Plant Disease Diagnosis,” International Research Journal of Computer Science Engineering and Applications (IRJCSEA), Vol 1, Issue 1, pp. 66-70., October 2012. 3. “JESS Based Expert System Architecture for Diagnosis of Rice Plant Diseases: Design and Prototype Development,” IEEE CONFERENCE PUBLICATIONS ISMS2013, Fourth International Conference on Intelligent Systems, Modelling and Simulation, Bangkok (Thailand), 29-31 January, 2013. Page(s): 674-676).





60 %

Date: 15th June, 2015

(Signature)

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.

61

CV of the PI from Each PIN2a

1. Name : Dr Arnab Sen

2. Sex : Male

3. Designation : Principal Scientist and Head, Animal Health

4. Address : ICAR RC for NEH, Barapani, Meghalaya-

5. Tel / Fax No : 08974027632, 03642570257


7. Date of Birth : 21-01-1970

8.



:

ICAR Research Complex for NEH, Barapani, Umiam, Meghalaya 793193, Fax- 03642570355, Phone- 03642570257, Email [email protected] Website: www.icarneh.ernet.in,



1) Detection of PRRS, PPV and PCV from porcine tissues- The report of PRRS is the first in the country, samples have been sent to the HSADL, Bhopal and confirmation of the same is awaited. PPV and PCV are also rare porcine viruses that have been successfully detected from porcine tissue samples.

2) Detection of REV insert in turkey pox virus- There is only one report of REV insert in fowl pox virus (Biswas,et.al, 2011) Hence this is a first report of REV (retroviral gene) insert in turkey pox virus.

3) Rapid detection of rotavirus samples in ethidium bromide stained agarose gels.- Comparable results were obtained on electropherotyping human and animal rotavirus samples on agarose and conventional SDS PAGE gels after silver staining. This would lead to considerable reduction of diagnostic periods especially in screening human neonatal samples for rotavirus. A rapid diagnostic protocol using simple RNA isolation strategies is being developed with a potential to patent the same.

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4) PCR based detection for three species of babesia viz, bigemina, canis and gibsoni in bovine and canine blood samples were standardized.

5) Detection of ESBL possessing E.coli in porcine faeces-. This study is the first report of molecular characterization of ESBL, MDR, integrons of E. coli isolates from swine in Northeast India and highlights the alarming prevalence of MDR E.coli isolates in feces of apparently healthy pigs on study farms. Overall blaTEM was the commonest genotype (85.7%), blaCTX-M (61.9%), blaOXA(17%) and blaSHV was absent. Antibiotic resistance integrons detected were intI1 (76.2%) and intI2 (26.2%). RFLP and RAPD results gave a very diverse and heterogeneous nature of the isolates

6) Antimicrobial resistance in plant pathogenic Pseudomonas fluorescence isolates Pseudomonas fluorescence isolates that were pathogenic for plants were obtained from Division of Plant Pathology, ICAR RC for NEH Region. These isolates were screened for phenotypic resistance against 14 different antimicrobials used in veterinary and human. Initial results from five isolates suggested natural resistance against a number of antimicrobials especially Piperacillin-Tazobactam combination. This is the first report of a study of drug resistance detected from a plant pathogen.

7) Molecular epidemiology of CSFV- The full-length E2 sequence of CSFV is known to yield

high resolution molecular typing and clearly differentiate the isolates into subgenotypes

(Postel et al., 2012). Two isolates clustered separately within genotype 2 with 99% bootstrap

value . These clusters of isolates were clearly separated from 2.1, 2.2 and 2.3subgenotype.

Based on this demarcation Indian isolates showed clear segregation in a separate cluster on

phylogenetic tree.

8) Variations in E-2 proteins of CSFV- Alignment of amino acid revealed some unique

substitutions in both the isolates which were not observed in subgenotype 2.1, 2.2 and 2.3.

The virus isolates recovered from the two outbreaks had considerable genetic distance from

other viruses of genotype 2 with two unique substitutions at N→S121and N→S242 .These

substitutions changed the glycosylation pattern and surface topology of the E2 protein

possibly also altering their biological properties in vivo.

9) Molecular epidemiology of PCV-2- Sequence analysis showed that all amplified ORF2

genes were 702 nucleotide (nt) in length. The ORF-2 sequences of these isolates (ML-12,

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ML-13 and ML-14) showed 99.0% to 100% identities, both at the nucleotide and amino acid

(aa) levels.

10) Detection of a novel variant of PCV-2-They showed highest identity 97% to 99% with

AY181947 and AY291317 isolates from China at nucleotide level. Phylogenetic analysis

revealed that all PCV2 isolates of Meghalaya were clustered along with PCV2b-1C isolates

with reliable bootstrap values and were distinctly separated from other genotypes of PCV2 .


1. V. Balamurugan, A. Sen, G. Venkatesan, V. Yadav, V. Bhanot, V. Bhanuprakash and R. K. Singh. Application of Semi-quantitative M Gene-Based Hydrolysis Probe (TaqMan) Real-Time RT-PCR Assay for the Detection of Peste des petits ruminants Virus in the Clinical Samples for Investigation into Clinical Prevalence of Disease. Transboundary and emerging diseases. (2010) 57 (2010) 383-395.

2. V. Balamurugan, A. Sen, V. Yadav, V. Bhanot, Riyesh.T, V. Bhanuprakash and R. K. Singh. Sequence and Phylogenetic Analyses of the Structural Genes of Virulent Isolates and Vaccine Strains of Peste Des Petits Ruminants Virus from India. Transboundary and Emerging Diseases. (2010) doi:10.1111/j.1865-1682.2010.01160.x.

3. V. Balamurugan, A. Sen, V. Yadav, V. Bhanot, V. Bhanuprakash and R. K. Singh. A Rapid and Sensitive One Step-SYBR Green Based Semi Quantitative Real Time RT-PCR for the Detection of peste des petits ruminants Virus in the Clinical Samples* Virologica Sinica, February 2012, 27 (1):1-9

4. Thachamvally Riyesh, Vinayagamurthy Balamurugan, Arnab Sen, Veerakyathappa Bhanuprakash, Gnanavel Venkatesan, Vinita Yadav and Raj Kumar Singh. Evaluation of Efficacy of Stabilizers on the Thermostability of Live Attenuated Thermo-adapted Peste des petits ruminants Vaccines* Virologica Sinica, October 2011, 26 (5): 324-337.

5. V. Balamurugan , P. Saravanan , A. Sen , K.K. Rajak ,V. Bhanuprakash, P. Krishnamoorthy & R.K. Singh. Sero-epidemiological study of peste des petits ruminants in sheep and goats in India between 2003 and 2009. Rev. Sci. tech. Off. Int. Epiz. 2011, 30 (3), 889-896.

11 b) List of ten best publications in whole career 1. P.Saravanan, R.P.Singh, V.Balamurugan, P.Dhar. B.P.Sreenivas, D.Muthuchelvan, A.Sen,

A.G.Aleyas, R.K.Singh, S.K.Bandopadhyay Development of a N gene based PCR-ELISA for detection of Peste-des-petits ruminants virus in clinical samples (2005). Acta Virologica 48:249-255,2005

2. Balamurugan, V.; Sen, A.; Saravanan, P.; Singh, R.P.; Singh, R.K.; Rasool, T.J. & Bandyopadhyay, S.K. (2006). One-step multiplex RT-PCR assay for the detection of peste des petits ruminants virus in clinical samples. Vet. Res. Commun. 30(6): 655-666.

3. D.Muthuchelvan A.Sanyal, R.P.Singh, D.Hemadri, A.Sen, B.P.Sreenivasa, R, K. Singh and

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S.K.Bandopadhyay Comparative sequence analysis of the large polymerase protein (L) gene of Peste-des-petits ruminants’ vaccine virus of Indian origin. (2005) Archives of Virology 150;2467-2481

4. Hosamani, M.; Singh, S.K.; Mondal, B.; Sen, A.; Bhanuprakash, V.; Yadav, M.P.; Bandyopadhyay, S.K. and Singh, R.K. (2006). A bivalent vaccine against goat pox and peste des Petits ruminants induces protective immune response in goats. Vaccine 24 (35-36): 6058-6064.

5. Balamurugan, V. Sen, A.; Saravanan, P.; Rasool, T.J.; Yadav, M.P.; Bandyopadhyay, S.K. and Singh, R.K. (2006). Development and characterization of a stable Vero cell line constitutively expressing peste des petits ruminants (PPR) virus haemagglutinin and its potential use as antigen in ELISA for sero-surveillance of PPR. Clinical & Vaccine Immunol. (ASM) 13(12): 1367-1372.

6. Saravanan P, Balamurugan V, Sen A, Sarkar, J, Sahay V, Razak K, Hosamani M, Yadav M P and Singh R K (2007). A natural mixed outbreak of Peste des petits ruminants and Orf in a goat farm at Shahjahanpur, India. Vet. Rec. 160(12): 410-412.

7. Balamurugan, V.; Singh, R.P;, Saravanan, P.; Sen, A.; Sarkar, J.; Sahay, B.; Rasool, T.J. and Singh, R.K. (2007). Development of an indirect ELISA for the detection of antibodies against peste des petits ruminants virus in small ruminants. Vet. Res. Commun. 31: 355-364.

8. Saravanan, P.; Balamurugan, V.; Sen, A.; Sahay, B. and Singh, R.K. (2006). Development of Dot-ELISA for diagnosis of peste des petits ruminants (PPR) in small ruminants. J. Appl. Anim. Res. 30: 121-124.

9. P.Saravanan, A.Sen, V.Balamurugan, S.K.Bandopadhyay, R.K.Singh (2007) Rapid quality control of a live attenuated Peste des petits ruminants vaccine by monoclonal antibody based sandwich ELISA.. Biologicals (Elsevier) doi 10.1016j.biologicals 2007/03.005.

10. Balamurugan, V.; Sen, A.; Saravanan, P. and Singh, R.K. (2006). Biotechnology in the production of Recombinant Vaccine or Antigen for Animal Health. J. Anim. Vet. Adv. 5(6): 487-495.



1) Evaluation of PPR virus recombinant H protein as antigen and prospective immunogen 2) Molecular studies on PPR virus pathogenesis 3) Supply & field evaluation of PPR vaccine, diagnostic kits, diagnostic service & maintenance of virus-serum repository (RP/PPR/BTV/POX) 4) ICAR-Adhoc project: Development of thermostable live attenuated PPR vaccine & DIVA diagnostic ELISA for differentiation of infected and vaccinated animals 5) DBT Network project on Classical Swine Fever with special reference to Northern region: Establishment and maintenance of national repository of classical swine fever virus (CSFV), serum and cell lines 13. List the projects in which the scientist has been working now

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1) Porcine viral disease diagnosis and isolation with special emphasis on CSFV and emerging

viruses (2012-2015).

2) DBT (Twinning) for NE- Project on PRRS surveillance- in collaboration with HSADL,

Bhopal-2013-2017.

3) DBT project on Advanced Animal disease diagnosis and service management centers.


40 %

Date: 14-06-2015

(Signature)

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CV of the PI from PIN 2b (Repeat this Template for each PI)

1. Name : Dr. Tapan Kumar Dutta

2. Sex : Male

3. Designation : Associate Professor

4. Address : Dept. of Veterinary Microbiology, CVSc&AH, CAU, Selesih, Aizawl, Mizoram - 796014

5. Tel / Fax No. : 09862335294 (m), TeleFAX: 0389-2361748


7. Date of Birth : 01-07-1972

8. Name of Institute / Centre : Dept. of Veterinary Microbiology, CVSc&AH, CAU, Selesih, Aizawl, Mizoram - 796014

Postal Address of the Institution with Tel/ Fax No. and E-mail TeleFAX: 0389-2361748 9. Highest Qualification : Ph.D.

10. List not more than 10 major achievements in the past five years

11. Established an institutional pathogenic bacteriology laboratory for molecular detection of pathogenic bacteria in animals and man.

12. Established Institutional Biotech Hub as instrumentation facility for the post graduate research scholars and faculty members of the college and near by institutions.

13. Established a laboratory enabled to detect the ESBLs producing bacteria by phenotypic and genotypic methods.

14. First time reported the association of ESBLs and virulence genes in E. coli isolated from animals.

15. Became the only faculty member of the college successfully guided and awarded Ph.D degree.

16. Awarded with BOYSCAST Fellow by DST and Overseas Associate by DBT.

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a) List not more than 5 best publications in the past five years

1 Dutta TK, Warjri I, Roychoudhury P, Lalzampuia H, Samanta I, Joardar SN, Bandyopadhyay S, Chandra R (2013). ESBL producing E. coli isolate possessing shiga toxin gene (stx1) belonging to O64 serogroup associated with human disease in India. Journal of Clinical Microbiology. 51(6): 2008-9. (IF:4.15)

2 Samanta I, Joardar SN, Das PK, Das P, Sar TK, Dutta TK, Bandyopadhyay S, Batabyal S and Isore DP (2014). Virulence Repertoire, Characterization and Antibiotic Resistance Pattern Analysis of Escherichia coli Isolated from Backyard Layers and their Environment in India. Avian Diseases. 58: 39-45 (IF:1.734)

3 Kar D, Bandyopadhyay S, Bhattacharyya D, Mondal B, Samanta I, Mahanti A, Nanda P K, Dandapat P, Das A K, Dutta TK, bandyopadhyay S, and Singh R K (2015). Molecular and phylogenetic characterization of multidrug resistant extended spectrum beta-lactamase producing Escherichia coli isolated from poultry and cattle in Odisha, India. Infection, Genetics and Evolution. 29: 82-90. (IF: 3.30)

4 Mandakini R, Dutta TK, Chingtham S, Roychoudhury P, Samanta I, Joardar SN, Pachauau AR & Chandra R (2014). ESBL producing shiga-toxigenic E. coli (STEC) associated with piglet diarrhoea in India. Tropical Animal Health and Production. DOI: 10.1007/s11250-014-0731-1. (IF:1.115)

5 Dutta TK, Roychoudhury P & Bandyopadhyay S, Wani S A and Hussain I (2011). Detection & characterization of Shiga toxin producing Escherichia coli (STEC) & enteropathogenic Escherichia coli (EPEC) in poultry birds with diarrhoea. Indian Journal of Medical Research. 133: 455-472. (IF: 2.061)

b) List the 10 best publications in the whole career

1 Dutta TK, Warjri I, Roychoudhury P, Lalzampuia H, Samanta I, Joardar SN, Bandyopadhyay S, Chandra R (2013). ESBL producing E. coli isolate possessing shiga toxin gene (stx1) belonging to O64 serogroup associated with human disease in India. Journal of Clinical Microbiology. 51(6): 2008-9. (IF:4.15)

2 Samanta I, Joardar SN, Das PK, Das P, Sar TK, Dutta TK, Bandyopadhyay S, Batabyal S and Isore DP (2014). Virulence Repertoire, Characterization and Antibiotic Resistance Pattern Analysis of Escherichia coli Isolated from Backyard Layers and their Environment in India. Avian Diseases. 58: 39-45 (IF:1.734)

3 Kar D, Bandyopadhyay S, Bhattacharyya D, Mondal B, Samanta I, Mahanti A, Nanda P K, Dandapat P, Das A K, Dutta TK, bandyopadhyay S, and Singh R K (2015). Molecular and phylogenetic characterization of multidrug resistant extended spectrum beta-lactamase producing Escherichia coli isolated from poultry and cattle in Odisha, India. Infection, Genetics and Evolution. 29: 82-90. (IF: 3.30)

4 Mandakini R, Dutta TK, Chingtham S, Roychoudhury P, Samanta I, Joardar SN, Pachauau AR & Chandra R (2014). ESBL producing shiga-toxigenic E. coli (STEC) associated with piglet diarrhoea in India. Tropical Animal Health and Production. DOI: 10.1007/s11250-014-0731-1. (IF:1.115)

5 Dutta TK, Roychoudhury P & Bandyopadhyay S, Wani S A and Hussain I (2011). Detection & characterization of Shiga toxin producing Escherichia coli (STEC) &

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enteropathogenic Escherichia coli (EPEC) in poultry birds with diarrhoea. Indian Journal of Medical Research. 133: 455-472. (IF: 2.061)

6 Dutta TK and Das P (2001). Isolation of aflatoxigenic strains of Aspergillus and detection of aflatoxin B1 from feeds in India. Mycopathologia. 151: 29-33. (IF:1.654)

7 Gautam R, Kumar AA, Singh VP, Singh VP, Dutta TK and Shivachandra SB. (2004). Specific identification of Pasteurella multocida serogroup-A isolates by PCR assay. Research in Veterinary Science.76:179-185. (IF:1.774)

8 Bandyopadhyay S, Sasmal D, Dutta TK, Ghosh MK, Sarkar M, Sasmal NK and Bhattacharya M (2009). Seroprevalence of brucellosis in yaks (Poephagus grunniens) in India and evaluation of protective immunity to S19 vaccine. Tropical Animal Health and Production. 41(4):587-592. (IF:1.115)

9 Bandyopadhyay S, Biswas TK, Sasmal D, Ghosh MK, Dutta TK, Das S C, Bhattacharya D, Bera AK, Bandopadyopadhyay, De S & Pan D (2009). Virulence gene and antibiotic resistance profile of shiga-toxin producing Escherichia coli prevalent in captive yaks (Poephagus grunniens). Veterinary Microbiology. 138(3-4):403-404. (IF:3.252)

10 Samanta I, Joardar S N, Das P K, Sar T K, Bandyopadhyay S, Dutta T K and Sarkar U (2014). Prevalence and antibiotic resistance profiles of Salmonella serotypes isolated from backyard poultry flocks in West Bengal, India. Journal of Applied Poultry Research. 23: 1-10. (IF: 0.846)

11. List not more than five best multi-disciplinary/multi-institution projects in which the scientist has worked as PI and as partner 1. DBT NER Centre for Advanced Animal Diagnostics and Services on Animal Health

and Diseases (ADSAHD) 2. Epidemiology of Extended-Spectrum Beta Lactamases (ESBLs) in Enterobacterioceae

group of bacteria isolated from swine in NER (Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim & Tripura) and swine & poultry in West Bengal

3. Development of improved diagnostics with monitoring and characterization of viral pathogens associated with piglet diarrhoea in North Eastern Region of India

4. Serosurveillance and molecular epidemiology of peste des petits ruminants (PPR), Sheep pox and Goat pox in sheep and goats of Tripura and Mizoram states.

5. Effect of dietary supplementation of phytogenic extracts on growth, nutrient utilization, blood biochemical profiles and gut microflora in weaving pig in Mizoram and poultry in west Bengal

12. List the projects in which the scientist is working now

1 DBT NER Centre for Advanced Animal Diagnostics and Services on Animal Health and

Diseases (ADSAHD) 2 Epidemiology of Extended-Spectrum Beta Lactamases (ESBLs) in Enterobacterioceae

group of bacteria isolated from swine in NER (Assam, Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim & Tripura) and swine & poultry in West Bengal

3 Development of improved diagnostics with monitoring and characterization of viral pathogens associated with piglet diarrhoea in North Eastern Region of India

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4 Serosurveillance and molecular epidemiology of peste des petits ruminants (PPR), Sheep pox and Goat pox in sheep and goats of Tripura and Mizoram states.

5 Effect of dietary supplementation of phytogenic extracts on growth, nutrient utilization, blood biochemical profiles and gut microflora in weaving pig in Mizoram and poultry in west Bengal

13. The amount of time he/she can afford to devote to this project

Out of 5 on-going projects mentioned above, 3 will be concluded by November, 2015. After that I will be in position to devote ~ 25% of my time for the current project.

Date: (Signature)

70

CV of the PI from PIN 2c

1. Name : Dr. Nagappa S. Karabasanavar

2. Sex : Male

3. Designation : Assistant Professor

4. Address : Department of Veterinary Public Health & Epidemiology, Karnataka Veterinary, Animal & Fisheries Sciences University, Veterinary College, Vinobanagar, Shivamogga, Karnataka - 577 204

5. Tel / Fax No : Cell Phone- +91-7204776725

6. E-mail : [email protected]; [email protected]

7. Date of Birth : 01.03.1979

8.


:

Veterinary College, KVAFSU, Shimoga, Karnataka Tel: 08182-651001, FAX: 08182-920320 Email: [email protected], University website: http://www.kvafsu.kar.nic.in


10.

List not more than 10 major achievements in the past five years

:

1) Development of chicken egg yolk antibody technology for the passive protection against zoonotic salmonellae of poultry.

2) Development of rapid diagnostic test kits for the detection of milk adulterants viz. starch, detergents, neutralizers, hydrogen peroxide and urea.

3) Monitoring of pesticide residues in foods of animal origin and accreditation of laboratory through NABL as per ISO-IEC 17025 (Technical Manager) and contributions for the establishment of national database on pesticide residues.

4) Establishment of base-line data on food-borne and zoonotic diseases in the region.

5) Development of species-specific PCR assays for the authentication of food animals.


1) Nagappa S. Karabasanavar, S.P. Singh, Deepak Kumar, Sunil N. Shebannavar. 2014. Detection of pork adulteration by highly-specific PCR assay of mitochondrial D-loop. Food Chemistry. 145 (15): 530-534.

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2) Nagappa S. Karabasanavar, S. P. Singh, Deepak Kumar & Sunil N. Shebannavar. 2013. Development and application of highly specific PCR for detection of chicken (Gallus gallus) meat adulteration. European Food Research and Technology, 236:129-134. 3) Nagappa S. Karabasanavar, S. P. Singh, Umapathi V, Girish Patil, Sunil N. Shebannavar and Deepak Kumar. 2011. Authentication of carabeef (water buffalo, Bubalus bublis) using highly specific polymerase chain reaction. European Food Research and Technology. 233:985-989. 4) Nagappa S. Karabasanavar, S. P. Singh, Umapathi V, Deepak Kumar, Girish Patil and Sunil N. Shebannavar. 2011. A highly specific PCR assay for identification of raw and heat treated mutton (Ovis aries). Small Ruminant Research. 100: 153-158. 5) Nagappa S. Karabasanavar and Suresh P. Singh. 2012. Occurrence of endosulphan residues in dairy milk in plains of Uttarakhand, India: Short communication. International Journal of Dairy Technology. 65: 1-5. 11 b) List of ten best publications in whole career 1) Nagappa S. Karabasanavar, S.P. Singh, Deepak Kumar, Sunil N. Shebannavar. 2014. Detection of pork adulteration by highly-specific PCR assay of mitochondrial D-loop. Food Chemistry. 145 (15): 530-534. 2) Deepak Kumar, S.P. Singh, Nagappa S. Karabasanavar, Rashmi Singh & V. Umapathi. 2014. Authentication of beef, carabeef, chevon, mutton and pork by a PCR-RFLP assay of mitochondrial cytb gene. Journal of Food Science and Technology. 51(11):3458-2463. 3) Nagappa S. Karabasanavar, S. P. Singh, Deepak Kumar & Sunil N. Shebannavar. 2013. Development and application of highly specific PCR for detection of chicken (Gallus gallus) meat adulteration. European Food Research and Technology, 236:129-134. 4) Nagappa S. Karabasanavar and Suresh P. Singh. 2012. Occurrence of endosulphan residues in dairy milk in plains of Uttarakhand, India: Short communication. International Journal of Dairy Technology. 65: 1-5. 5) Nagappa S. Karabasanavar, S. P. Singh and Manish Kumar Singh. 2012. Monitoring for chlorpyrifos residues in animal feed and fodder of Tarai region of Uttarakhand, India. Toxicological & Environmental Chemistry. 94 (2): 275-280. 6) Nagappa S. Karabasanavar, S. P. Singh, Umapathi V, Girish Patil, Sunil N. Shebannavar and Deepak Kumar. 2011. Authentication of carabeef (water buffalo, Bubalus bublis) using highly specific polymerase chain reaction. European Food Research and Technology. 233:985-989. 7) Nagappa S. Karabasanavar, S. P. Singh, Umapathi V, Deepak Kumar, Girish Patil and Sunil N. Shebannavar. 2011. A highly specific PCR assay for identification of raw and heat treated mutton (Ovis aries). Small Ruminant Research. 100: 153-158. 8) Deepak Kumar, S.P. Singh, Rashmi Singh, Nagappa S. Karabasanavar. 2011. A highly specific PCR assay for identification of goat (Capra hircus) meat. Small Ruminant Research. 97: 76-78 9) Nagappa S. Karabasanavar, S.P. Singh, Umapathi V., Deepak Kumar and Sunil N. Shebannavar. 2011. Identification of goat meat using highly species-specific polymerase chain reaction. Journal of Food Quality, 34 (2): 142–149. 10) Nagappa Karabasanavar, Suresh P. Singh, Sunil N. Shebannavar, Kotresh M. Angadi, Girish S. Patil and Umapathi. V. Pillai. 2010. Identification of avian species using polymerase chain reaction and sequence analysis of mitochondrial 12s rRNA gene. Veterinarski Arhiv. 80 (5): 653-661.

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1) Indian Council of Agricultural Research funded Central sector research scheme ‘Monitoring of pesticide residues at national level’ (CoPI)

2) Indian Council of Agricultural Research funded All India Coordinated Research Project on Post-Harvest Technology (CoPI)

3) Indian Council of Agricultural Research funded Outreach Programme Project on Parasitic Zoonotic Diseases (OPZD): Cysticercosis, Hydatidosis & Trichinellosis (CoPI)


DST funded research project, ‘Application of polyclonal hen egg yolk antibodies for the prevention of zoonotic food borne Salmonellae of poultry’ (Principal Investigator)


60 %

Date:

(Signature)

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Annexure 5

7.0 Brief CV of Mentors

1. Name of the mentor: Professor (Dr) Hema A Murthy

2. Designation: Professor

3. Address: Department of CSE, IIT Madras, [email protected], Ph:+91-44-2257 4364

4. Educational qualification: • Ph.D (CSE), Indian Institute of Technology, Madras, July, 1992. • M.Eng. (Electrical and Computer Engineering), McMaster University, Hamilton,

Ontario, Canada, December, 1985. • B.E. (ECE), Osmania University, Hyderabad, June, 1980.

5. Few Selected Professional Experience:

• Jan’86–Apr’86: Research Assistant and part-time Graduate Student in Communications Research Laboratory, McMaster University, Canada.

• Aug’88 - Jul’92 : Lecturer ( and part-time research scholar), Department of Computer Science and Engineering, IIT Madras - 600 036.

• Jul’92–Feb’93 : Lecturer, Department of Computer Science and Engineering, IIT, Madras - 600 036.

• Feb’93–Sept’00: Asst. Professor, Department of Computer Science and Engineering, IIT, Madras - 600 036.

• Sept’00–Apr’06: Associate Professor, Department of Computer Science and Engineering, IIT, Madras - 600 036.

• Apr’06- : Professor, Department of Computer Science and Engineering, IIT, Madras - 600 036.

• Jun’95–Jun’96: International Fellow, STAR Laboratory, SRI International, 333, Ravenswood Avenue, Menlo Park, CA 94025 (on leave from IIT, Madras).

• Jun’98–Jul’98 (six weeks): Visitor at TIFR Bombay • Jun’02–Aug’02 :International Fellow, STAR Laboratory, SRI International, 333,

Ravenswood Avenue, Menlo Park, CA 94025 (on leave from IIT, Madras). 6. Awards:

• Manthan award (top 74 finalists), 2012. • Indian Language text-to-speech synthesis systems integrated with screen readers, GE

innovation award and first prize in research expo, Shaastraa 2012. • Prof. Rais Ahmed Memorial Lecture Award, Acoustical Society of India, 2012. • IBM Faculty award, 2006.

7. Publications: International Journal: 29 International Conference: 105 National Conference: 66 Book Chapters: 2

8. Scholar Guided: PhD & MS: 43; MTech: 68 9. Sponsored Projects: 31

Dr Suresh S. Honnappagol, Animal Husbandry Commissioner, Govt. of India

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1. Name of the mentor: Dr. Suresh S. Honnappagol

2. Educational Qualification: M.V.Sc., Ph.D., FISSAR., FNAVSc

3. Specialization: Animal Reproduction, Gynecology & Obstetrics.

4. Designation: Animal Husbandry Commissioner, Ministry of Agriculture, Gov. of India

5. Contact Address:

Animal Husbandry Commissioner,

Ministry of Agriculture, Government of India,

Room No 234, Krishi Bhawan, New Delhi

E mail: [email protected]

Mobile: 09868248530

6. Positions Held

• Vice Chancellor, KVAFSU, Bidar (2008 – 2013)

• Assistant Director General (EQ&C), ICAR, New Delhi (2013)

• 3 Years as founder Registrar, KVAFSU, Bidar.

• 6 Years as Director of Instruction/Dean, Veterinary College, Bidar

• 3 Years as Professor & University Head, Dept. of ARGO, Veterinary College, Bidar

7. Awards: International: 1, National: 9, State: 3, District: 2, Institutional: 4

Young Scientist Award (1989)

Best Veterinarian Award (1996)

Karuna Award (2011)

Matsya Ratna Award (2012)

Indira Gandhi Sadhbhavana Award (2012)

8. Publications: Research paper: 76, Abstract: 36, Paper presented: 9, Books: 2

9. PG Education: Guided 11 M.V.Sc. & 3 Ph.D.

Brief C V of Dr K Ravindra Rao

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1. Name of the mentor: Dr. K Ravindra Rao

2. Educational Qualification: Ph. D.from NDRI, Karnal, Haryana

3. Specialization: Dairy Economics

4. Designation: Former CGM, NABARD

5. Contact Address: # 101, SUHA Apartments, Near SBI, Hanuman Nagar Manikonda, Hyderabad-500089, Telangana Ph. No: 040-64556700 Mob: 919573638000 Mail ID:[email protected]

6. Positions Held:

Sep 2006 – Dec 2009 - Chief General Manager, NABARD, Mumbai Nov2000 – Aug 2006 - General Manager, NABARD, Mumbai/Bangalore Sep 1993 – Oct 2000 - Dy. General Manager, NABARD, Mumbai Feb 1987 – Aug 1993 - Dy. Manager, NABARD, Ahmedabad/Mumbai Dec 1982 – Jan 1987 - Development Officer, NABARD, Ahmedabad Jul 1979 – Nov 1982 - Research Associate, IIM, Ahmedabad

7. Experience: Formulation and appraisal of bankable projects; planning, monitoring and evaluation of

Government programs/schemes and Evaluation of research Projects/ articles and writing of case studies.

Member of various high level committees constituted by Planning Commission, Govt. of India related to Animal Husbandry and Dairy sector.

Visited Netherlands, Denmark, France, Germany and UK to study the European livestock industry (Farming as well as processing sectors, equipment, technologies, etc.) and its relevance to Indian context

Coordinated the Impact study of integrated piggery scheme in selected states Formulated concept paper and Guidelines for Integrated piggery project for DAH, GOI for

implementation in various states during 11th plan Evaluated more than 20 research proposals and 50 seminar proposals submitted by the Agri/

Vety universities, Resarch institutions and professional Associations forR&D grant assistance 8. Honours: UNDP fellow for Doctoral programme. Gold Medalist in Master’s programme. First position in practical Crop Production Program at Graduation level

9. Professional memberships: Indian Dairy Association Indian Poultry Science Association Indian Society for Animal Production and Management Association of Food Scientists and Technologists Indian Society for Sheep and Goat production and utilization.

10. Publications: Authored Two books and published/presented 55 articles in National and

International Journals as well as seminars

Dr Tushar K. Mohanty, Principal Scientist, ICAR - National Dairy Research Institute

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1. Name of the mentor: Tushar Kumar Mohanty

2. Date of birth (Day-Month-Year): 27-07-1963

4. Designation: Principal Scientist

5. Name of the Office/Institution/Organization, if employed: National Dairy Research

Institute, Karnal-132001, Haryana

6. Full postal address for correspondence with pin code:

Dr. T.K. Mohanty, Principal Scientist, (Animal Reproduction), Livestock Research Center,

Livestock Production Management, NDRI, Karnal - 132001, Haryana

1. Contact details:

Mobile No. 09215508002

Tel. No. 0184-2259561

Fax No. 0184-2250042

E-mail IDs [email protected];

[email protected]

2. Publications:

• International: 64

• National :96

• Popular: 41

• Books: 11

• Book Chapters:8

• Technical Bulletins:5

• Folders: 10

• Symposium Abstracts:115

Annexure 6

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8.0 Terminology • IITG: Indian Institute of Technology Guwahati

• ICAR: Indian Council of Agricultural Research

• AAU: Assam Agricultural University

• NRCP: National Research centre on Pig

• CAU: Central Agricultural University

• HCI: Human Computer Interaction

• Boar: Uncastrated domestic male pig.

• Sow: Adult female pig.

• Piglet: A young pig.

• Weaning: To accustom piglet to food other than its mother's milk.

• Farrowing: The act of parturition in the sow; giving birth to a litter of piglets.

• PRRS: Porcine Reproductive and Respiratory Sydrome

• FMD: Foot & Mouth Disease

• CSF: Classical Swine Fever

• PCV: Porcine Circo Virus

• PPV: Porcine Parvo Virus

• Vaccination: Any preparation used as a preventive inoculation to confer immunity

against a specific disease.

• HACCP: Hazard Analysis and Critical Control Point

• CFU: Colony Forming Unit

• pg: Picogram

• mL: Milii Litre

• MAIRA: Maharashtra Animal Identification & Recording Authority.

• INAPH: Information Network for Animal Production and Health.

• IRT: Infrared Thermal

9.0 Budget: Head-wise and Year-wise and Institute-wise: Annexure 1

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Annual Milestones

‘e-Varaha: Information System for Safe Pork Production in North Eastern India’

I year

1) Study report about the movement of pig-to-pork in and out of NER.

2) Standardization of tagging and identification devices.

II year

1) Deploying e-Varaha for data acquisition, storage, retrieval and traceability.

2) Rapid detection of pig health and pork quality status using Infrared Thermal imaging based methods.

III Year

1) Biosensor based rapid pork borne pathogens detection methods.

2) A method for image based fecal analysis for detecting parasitic load in slaughter pigs.

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Documents

Information Technology Research Academy (ITRA) 6 1. Dr Seema Rani Pegu, Scientist 1. Animal Health 2. Dr. Rajendran Thomas, Scientist 2. Livestock Products Technology 3.Dr. Santanu