Agricultural Science Digest

  • Chief EditorArvind kumar

  • Print ISSN 0253-150X

  • Online ISSN 0976-0547

  • NAAS Rating 4.75

  • SJR 0.156

Frequency :
Bi-monthly (February, April, June, August, October and December)
Indexing Services :
BIOSIS Preview, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Agricultural Science Digest, volume 39 issue 4 (december 2019) : 268-273

Optimum Crop Planning for Better Resource use Efficiency, Sustainability and Maximizing Farm Net Income in Assam

Rinumoni Buragohin, P.P. Bora, J.P. Hazarika, Nivedita Deka
1Department of Agricultural Economics, Faculty of Agriculture, Assam Agricultural University, Jorhat-785 013, Assam, India.
Cite article:- Buragohin Rinumoni, Bora P.P., Hazarika J.P., Deka Nivedita (2019). Optimum Crop Planning for Better Resource use Efficiency, Sustainability and Maximizing Farm Net Income in Assam. Agricultural Science Digest. 39(4): 268-273. doi: 10.18805/ag.D-4726.
In Assam, most of the crops are grown with productivity that is lower than the potential yield. Potential utilization of irrigation is not much encouraging in the state. Besides, most of the farmers are marginal and small farmers leading to low mechanization in Assam agriculture. Therefore, a proper crop planning is needed that would help the farmers to select crops for mechanization under assured irrigation that will give them higher profit. The study has been under taken with the objective to develop optimum crop planing for better resource use efficiency, sustainability and maximizing farm net income across production environments by using linear programming (LP) through GAMS (General Algebraic Modeling System). The resulted optimum crop model showed that, the areas under almost all the major crops grown in Assam have the scope to be increased under the land constraint of the state both in existing and improved irrigated situation and to contribute more in farm income. From the result of the study, it can be concluded that, besides rice, crops like maize, sugarcane, jute, mustard, pea and vegetables like tomato, brinjal, cauliflower, chilies etc can be seen as potential crops in a profitable crop plan for the state.
  1. Comprehensive Scheme for Cost of Cultivation (CCS) of Principal Crops of Directorate of Economics and Statistics, Ministry of Agriculture.
  2. Economic Survey of Assam (2014-15). Directorate of Economics and Statistics, Ministry of Agriculture, Government of Assam.
  3. Indian Agricultural Research Institute (2014). GHG emission from Indian Agriculture: Trends, Mitigation and Policy needs, IARI, New Delhi.
  4. Jain, R., Raju, S.S., Immaneulraj, K., Srivastava, S.K., Kaur, A. P. and Singh, J. (2015). Manual on Methodological Approach for Developing Regional Crop Plan.ICAR-National    Institute of Agricultural Economics and Policy Research, New Delhi.
  5. Jain, R., Immaneulraj, K., Chand, R., Kaur, A. P, Raju, S.S, Srivastava, S.K and Singh, J (2017). Farmers and social perspective on optimal crop planning for ground water sustainability: A case of Punjab state in India Journal of the Indian Society of Agricultural Statistics. 71(1) 75–88.
  6. Paidipati, K. K., & Padi, T. R. (2017). Optimal Programming Problems for Crop Planning and Agricultural Resource Management. Archives of Business Research. 5(12): 282-293.
  7. Peoples, M.B.; Herridge, D.F. and Ladha J.K. (1995). Biological nitrogen fixation: An efficient source of nitrogen for sustainable agricultural production? Plant and Soil. 174: 3–28.
  8. Raju, S.S., Chand, R., Srivastava, S.K., Kaur, Amrit Pal, Singh, Jaspal, Jain, Rajni, Immaneulraj, Kingsly and Kaur, Parminder (2015). Comparing performance of various crops in Punjab based on market and economic prices and natural resource accounting. J. Agric. Eco. Res. Rev., 28(Conference Number), 189-198.
  9. Wankhade M.O. and Lunge H.S. (2012). Allocation of Agricultural Land to the Major Crops of Saline Track by Linear Programming Approach: A Case Study. International Journal of Scientific & Technology Research. 1(9). 

Editorial Board

View all (0)