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International Journal of Information Technology

, Volume 11, Issue 4, pp 619–624 | Cite as

Methodology for region level optimum crop plan

  • Rajni JainEmail author
  • I. Kingsly
  • Ramesh Chand
  • S. S. Raju
  • S. K. Srivastava
  • Amrit Pal Kaur
  • Jaspal Singh
Original Research
  • 19 Downloads

Abstract

The paper presents a framework for developing optimum crop plan using linear programming approach. The methodology aims for optimizing the level of each activity of different crops, level of input use, and output produced under different resource endowments and price scenarios. Data for this study relates to farm house hold data regarding land use, rainfall, water status, cropping pattern etc. The data has been taken from the “cost of cultivation scheme’’ run by the Directorate of Economics and Statistics, Ministry of Agriculture. Objective function is to maximize the net returns for the region under the constraints of land availability and water sustainability. General algebraic modelling system has been used for developing the optimum crop plan. Data set related to the state of Punjab will be used for demonstrating the methodology.

Keywords

Optimum crop plan Linear programming GAMS 

References

  1. 1.
    Jain R, Kingsly I, Chand R, Kaur AP, Raju SS, Srivastava SK, Singh J (2017) Farmers and social perspective on optimal crop planning for ground water sustainability: a case of Punjab state in India. J Indian Soc Agric Stat 71(1):75–88Google Scholar
  2. 2.
    Otoo J, Ofori JK, Amoah F (2014) Optimal selection of crops: a case study of small scale farms in Fanteakwa district, Ghana. Int J Sci Technol Res 4(5):142–146Google Scholar
  3. 3.
    Abadi FSR, Kakhki MD, Sahnoushi N (2009) The determination of optimal crop pattern with aim of reduction in hazards of environmental. Am J Agric Biol Sci 4:305–310CrossRefGoogle Scholar
  4. 4.
    Agha RS, Nofal LG, Nassar HA, Shehada RY (2012) Multi criteria governmental crop planning problem: an analytic hierarchy approach. Management 2(4):96–105Google Scholar
  5. 5.
    Aparnathi MG (2014) Linear programming model for optimal cropping pattern for economic benefits of MRBC command area. Int J Innov Res Sci Technol 1(1):47–54Google Scholar
  6. 6.
    Boustani F, Mohammadi H (2010) Determination of optimal cropping pattern due to water deficit: a case study in the south of Iran. Am Eur J Agric Environ Sci 7(5):591–595Google Scholar
  7. 7.
    Dahiphale P, Singh PK, Kothari M, Gharde K (2015) Optimal cropping pattern for jaisamand command of Udaipur district. Res J Recent Sci 4(ISC2014):1–7Google Scholar
  8. 8.
    Galán-Martína A, Pozoa C, Guillén-Gosálbeza G, Vallejoa AA, Esteller LJ (2015) Multi- stage linear programming model for optimizing cropping plan decisions under the new Common Agricultural Policy. Land Use Policy 48:515–524CrossRefGoogle Scholar
  9. 9.
    Gomaa W, Harraz N, El Tawil A (2011) Crop planning and water management: a survey. In: The 41st international conference on computers and industrial engineering, pp 319–24Google Scholar
  10. 10.
    Kaur B, Vatta K, Sidhu RS (2015) Optimising Irrigation water use in Punjab agriculture: role of crop diversification and technology. Indian J Agric Econ 70(3):307–318Google Scholar
  11. 11.
    Kaur B, Sidhu RS, Vatta K (2010) Optimal crop plans for sustainable water use in Punjab. Agric Econ Res Rev 23(2):273–284Google Scholar
  12. 12.
    Jain R, Malangmeih L, Raju SS, Srivastava SK, Kingsly I, Kaur AP (2018) Optimization techniques for crop planning: a review. Indian J Agric Sci 88(12):1826–1835Google Scholar
  13. 13.
    Mortazavi SA, Hezareh R, Kaliji SA, Mehr SS (2014) Application of linear and non-linear programming model to assess the sustainability of water resources in agricultural patterns. Int J Agric Manag Dev 4(1):27–32Google Scholar
  14. 14.
    Pravin D, Singh PK, Kothari M, Gharde K (2015) Optimal cropping pattern for Jaisamand command of Udaipur district in Rajasthan, India. Res J Recent Sci Int Sci Congr Assoc 4:1–7Google Scholar
  15. 15.
    Pradhan KK (2012) A quantitative approach to profit optimization and constraints of mixed cropping pattern in Bargarh district of western Orissa. Int J Adv Res Sci Technol 1(1):81–85Google Scholar
  16. 16.
    Rani YR (2012) Multi objective crop planning for optimal benefits. Int J Eng Res Appl 2(5):279–287Google Scholar
  17. 17.
    Reddy SS, Ram PR, Sastry TVN, Devi IB (2008) Application of operations research techniques to farm management. In: Agricultural economics. Oxford & IBH Publication Co. Pvt.Ltd, New Delhi, pp 255–297Google Scholar
  18. 18.
    Shrivastava SK, Verma MK, Devatha CP (2012) Optimization modelling for crop Planning of hasdeo bango command. Int J Eng Res Technol 1(9):1–5Google Scholar
  19. 19.
    Sofi NA, Ahmed A, Ahmad M, Bhat BA (2015) Decision making in agriculture: a linear programming approach. Int J Mod Math Sci 13(2):160–169Google Scholar
  20. 20.
    Soltani J, Karbasi AR, Fahimifard SM (2011) Determining optimum cropping pattern using fuzzy goal programming (FGP) model. Afr J Agric Res 6(14):3305–3310Google Scholar
  21. 21.
    Varalakshmi K, Handigol J, Yeledhalli RA (2011) Optimum crop enterprise mix for the farmers in Kurnool district of Andhra Pradesh. Karnataka J Agric Sci 24(5):661–667Google Scholar
  22. 22.
    Wankhade MO, Lunge HS (2012) Allocation of agricultural land to the major crops of saline track by linear programming approach: a case study. Int J Sci Technol Res 1(9):21–25Google Scholar
  23. 23.
    Wondimagegn M (2014) Crop mix and resource use pattern under risk: the case of smallholder farmers in eastern highlands of Ethopia. Int J Agric Crop Sci 7(5):251–261Google Scholar
  24. 24.
    Rajni Jain SS, Raju KI, Srivastava SK, Kaur AP, Singh J (2015) Manual on methodological approach for developing regional crop plan. ICAR-National Institute of Agricultural Economics and Policy Research, New DelhiGoogle Scholar
  25. 25.
    Srivastava SK, Ramesh Chand SS, Raju RJ, Kingsly I, Sachdeva J, Singh J, Kaur AP (2015) Unsustainable groundwater use in punjab agriculture: insights from cost of cultivation survey. Indian J Agric Econ 70(3):365–378Google Scholar
  26. 26.
    Raju SS, Chand R, Srivastava SK, Kaur AP, Singh J, Jain R, Immaneulraj K, Kaur P (2015) Comparing performance of various crops in punjab based on market and economic prices and natural resource accounting. J Agric Econ Res Rev 28:189–198CrossRefGoogle Scholar

Copyright information

© Bharati Vidyapeeth's Institute of Computer Applications and Management 2019

Authors and Affiliations

  1. 1.ICAR-National Institute of Agricultural Economics and Policy ResearchNew DelhiIndia
  2. 2.NITI AayogNew DelhiIndia
  3. 3.ICAR-CMFRIVishakhapatnamIndia

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