Linear Programming Based Optimum Crop Mix for Crop Cultivation in Assam State of India

  • Rajni Jain
  • Kingsly Immaneulraj
  • Lungkudailiu Malangmeih
  • Nivedita Deka
  • S. S. Raju
  • S. K. Srivastava
  • J. P. Hazarika
  • Amrit Pal Kaur
  • Jaspal Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 736)

Abstract

The Assam, the gate way to the north east is an agrarian state with rice as the staple crop. Nearly 89% of the state’s population of about 3 crores lives in rural area. The productivity of the major crops like rice, pulses and oilseeds is yet to reach acceptable level despite various efforts in the past. Optimum crop mix for Assam has been developed using linear programming to maximize the net returns ensuring the best use of land and other natural resources for the state. Attempts have been made to obtain crop combination under rainfed and irrigated area separately in both kharif and Rabi season. The result from the linear programming based model indicates higher returns than the existing crop plan (Rs. 39.30 hundred crore in optimum plan over 34.16 hundred crore in existing plan at market price). Sensitivity analysis also indicated that the profit can be increased substantially by bringing the fallow land during Rabi season under irrigation. This implies that there is potential in bringing more land under double or triple cropping considering vast water availability in the state.

Keywords

Linear programming Optimum crop plan Net returns Sensitivity analysis Assam agriculture 

Notes

Acknowledgement

This work was supported by Indian Council of Agricultural Research (ICAR) under the ICAR Social Science Network project ‘Regional Crop Planning for Improving Resource Use Efficiency and Sustainability’. The authors also acknowledge Assam Agricultural University, Jorhat, Assam, nodal agency of cost of cultivation scheme for sharing unit-level data for the project.

References

  1. 1.
    Economic Survey: Directorate of Economics and Statistics, Government of Assam (2015)Google Scholar
  2. 2.
    Statistical abstracts of Assam, various issues. http://ecostatassam.nic.in/. Accessed Jan 2017
  3. 3.
    Sarker, R.A., Talukdar, S., Haque, A.F.M.A.: Determination of optimum crop mix for crop cultivation in Bangladesh. Appl. Math. Model. 21(10), 621–632 (1997)CrossRefMATHGoogle Scholar
  4. 4.
    Borges Junior, J.C.F., Ferreira, P.A., Andrade, C.L.T., Hedden-Dunkhorst, B.: Computational modeling for irrigated agriculture planning. Part I: general description and linear programming. Engenharia Agricola 28(3), 471–482 (2008)CrossRefGoogle Scholar
  5. 5.
    Nath, S., Mal, B.C.: Optimal crop planning and conjunctive use of water resources in a coastal river basin. Water Res. Manag. 16, 145–169 (2002)CrossRefGoogle Scholar
  6. 6.
    Rani, Y.R., Rao, P.T.: Multi objective crop planning for optimal benefits. Int. J. Eng. Res. Appl. 2(5), 279–287 (2012)Google Scholar
  7. 7.
    Wankhade, M.O., Lunge, H.S.: 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), 21–25 (2012)Google Scholar
  8. 8.
    Jain, R., Kingsly, I., Chand, R., Kaur, A., Raju, S.S., Srivastava, S.K., Singh, J.: 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), 75–88 (2017)Google Scholar
  9. 9.
    Kaur, B., Sidhu, R.S., Vatta, K.: Optimal crop plans for sustainable water use in Punjab. Agric. Econ. Res. Rev. 23, 273–284 (2010)Google Scholar
  10. 10.
    Jain, R., Kingsly I., Raju S.S., Srivastava, S.K., Kaur A., Singh, J.: Manual on methodology for regional crop planning and resource use efficiency, published by ICAR-NIAP (2015). www.ncap.res.in

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Rajni Jain
    • 1
  • Kingsly Immaneulraj
    • 1
  • Lungkudailiu Malangmeih
    • 1
  • Nivedita Deka
    • 2
  • S. S. Raju
    • 3
  • S. K. Srivastava
    • 1
  • J. P. Hazarika
    • 2
  • Amrit Pal Kaur
    • 4
  • Jaspal Singh
    • 4
  1. 1.ICAR-National Institute of Agricultural Economics and Policy ResearchNew DelhiIndia
  2. 2.Assam Agricultural UniversityJorhatIndia
  3. 3.ICAR-Central Marine Fisheries Research InstituteVishakhapatnamIndia
  4. 4.NITI AayogNew DelhiIndia

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