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Determine optimal crop planning under conditions of water risk in Namakkal district of Tamil Nadu

International Research Journal of Agricultural Economics and Statistics

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Title Determine optimal crop planning under conditions of water risk in Namakkal district of Tamil Nadu
 
Creator Kavitha, B.
Gowri, M. Uma
Sangeetha, R.
 
Subject Water stress, Resource use, Farm size, Linear programming, Optimization
 
Description Water is a critical input for success of agriculture and its ever widening technology creation. Water scarcity as a risk has always been a part of agriculture and farm business. Hence, management of available irrigation water assumes great importance in the field of agriculture. The present study was attempted in Namakkal district of Tamil Nadu, India, because of the availability of exclusive dry farms. In Namakkal district, blocks namely Namakkal, Mohanur, Pudhuchatram, Tiruchengode for each risky crop were purposively selected on the basis of area, production and productivity of those crops. Linear programming model was applied to derive optimal crop plan for the sample farms under water stress conditions. Optimization of crop portfolio for the selected farm is a type of risk management strategy. The decline in gross cropped area in Namakkal block would imply relatively less pressure on land that would again indicate the sign of bringing in sustainability of the productive capacity of the land. Even though the decline trend in net income, it showed that the resources which were used in the cultivation as efficiency factor in Pudhuchatram. The results indicated that water and other resources were used efficiently to get optimum pattern in the cultivation of different crops.
 
Publisher HIND AGRICULTURAL RESEARCH AND TRAINING
 
Date 2015-11-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.myresearchjournals.com/index.php/IRJAES/article/view/5336
 
Source International Research Journal of Agricultural Economics and Statistics; Vol 6, No 2 (2015)
2231-6434
2229-7278
 
Language eng
 
Relation http://www.myresearchjournals.com/index.php/IRJAES/article/view/5336/4892