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Optimal Cropping Pattern for Jaisamand command of Udaipur district in Rajasthan, India

Author Affiliations

  • 1WE Deppt., CTAE, MPUAT, Udaipur, INDIA
  • 2SWE Deppt., CAET, Dapoli, INDIA

Res. J. Recent Sci., Volume 4, Issue (ISC-2014), Pages 1-7, (2015)

Abstract

This paper presents an application of LINGO software to allocate the area for production maximization in Jaisamand command area of Udaipur district. The linear programming model was developed and solved in LINGO software. The area allocated for different crop activities in 9,18,21,24 and 30 canal running days was obtained. The optimal food production for maize, soyabean, moong, wheat, mustard, gram and barley in 9,18,21,24 and 30 canal running days obtained as 33454.94, 70278.44, 68502.53, 71987.65 and 72082.02 tonnes with investment of 403.00, 773.78, 797.67, 845.09 and 851.22 million Rs. respectively. The net benefit obtained as 219.55, 58.02, 451.89, 456.06 and 455.43 million Rs. for 9,18,21,24 and 30 canal running days respectively.

References

  1. Santhi and Pundarikanthan, New planning model for canal scheduling of rotational irrigation, Agricultural Water management, 43(3), 327-343 (2000)
  2. Srinivas and Nagesh, Optimum cropping pattern for Sri Ram Sagar project: a linear programming approach, J. Appl. Hydro., XII (1and2), 57-67 (2000)
  3. Anwar A.A. and Clarke, D., Irrigation scheduling using mixed integer linear programming, J. Irri.and Dra. Engg., ASCE, 127(2), 63-69 (2001)
  4. Vries T. and Anwar A., Irrigation shedulling, Integer Programming Approach, J. Irri. and Dra. Engg. 130(1), 9-16 (2004)
  5. Bhabagrahi S. and Anil K., Fuzzy Multi objective and Linear Programming Based Management Models for Optimal Land-Water-Crop System Planning, J. Water resources management, 20(6), 931-948 (2006)
  6. Khare D., Jat M.K. and Sunder J.D., Assessment of water resources allocation options: Conjunctive use planning in a link canal command, J. Esources, Conser. and Recycling, Elsevier (2007)
  7. Brian W. and Marshall G., The use of a coupled groundwater simulation and optimization model to guide groundwater management in the upper Klamath basin, Oregon and California. 2nd Joint Federal Interagency Conference, Las Vegas, NV (2010)
  8. Saafan T.A., Moharram S.H., Gad M.I. and Khalaf A.S.,A multi-objective optimization approach to groundwater management using genetic algorithm, Int. J. Water Res. and Env. Engg., 3(7), 139-149 (2011)
  9. Ajay Singh, An overview of the optimization modelling applications, J. Hydro., 466(12), 167-182 (2012)
  10. Regulwar D.G. and Pradhan V.S., Irrigation Planning with Conjunctive Use of Surface and Groundwater Using Fuzzy Resources, J. Water Res. and Protection, 5, 816-822 (2013)
  11. Li M. and Guo P. A., Multi-Objective Optimal Allocation Model for Irrigation Water Resources Under Multiple Uncertainties. Applied Mathematical Modelling, Elsevier (2014)
  12. Raul S.K., Panda Sudhindra N. M. and Inamdar P. M., Sectoral Conjunctive Use Planning for Optimal Cropping under Hydrological Uncertainty, J. Irri. and Dra. Engg.,138(2), 145-155 (2014)