IDEAS home Printed from https://ideas.repec.org/a/ags/aerrae/273047.html
   My bibliography  Save this article

Optimising Cropping Pattern in Eastern Uttar Pradesh Using Sen’s Multi Objective Programming Approach

Author

Listed:
  • Kumari, M.
  • Singh, O.P.
  • Meena, D.C.

Abstract

No abstract is available for this item.

Suggested Citation

  • Kumari, M. & Singh, O.P. & Meena, D.C., 2017. "Optimising Cropping Pattern in Eastern Uttar Pradesh Using Sen’s Multi Objective Programming Approach," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 30(2).
    • Handle: RePEc:ags:aerrae:273047
    DOI: 10.22004/ag.econ.273047
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273047/files/9-Maina-Kumari.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/273047/files/9-Maina-Kumari.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. repec:dau:papers:123456789/2840 is not listed on IDEAS
    2. S B Sinha & S Sinha, 2004. "A linear programming approach for linear multi-level programming problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 312-316, March.
    3. Abdelaziz, Fouad Ben, 2007. "Multiple objective programming and goal programming: New trends and applications," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1520-1522, March.
    4. Amarasinghe, Upali A. & Smakhtin, Vladimir & Sharma, Bharat R. & Eriyagama, Nishadi, 2010. "ailout with white revolution or sink deeper?: groundwater depletion and impacts in the Moga District of Punjab, India," IWMI Research Reports H043447, International Water Management Institute.
    5. Amarasinghe, Upali A. & Smakhtin, Vladimir U. & Sharma, Bharat R. & Eriyagama, Nishadi, 2010. "Bailout with white revolution or sink deeper?: groundwater depletion and impacts in the Moga District of Punjab, India," IWMI Research Reports 108672, International Water Management Institute.
    6. Tahir Saeed Laghari & Abdul Khaliq & SYED HAMID HUSSAIN SHAH & Shaukat Ali & Haroon Shahzad & Umair Nasir, 2014. "Analysis of rainfall data to estimate rain contribution towards crop water requirement using Cropwat model," Russian Journal of Agricultural and Socio-Economic Sciences, CyberLeninka;Редакция журнала Russian Journal of Agricultural and Socio-Economic Sciences, vol. 36(12), pages 9-17.
    7. A. L. Stoecker & A. Seidmann & G. S. Lloyd, 1985. "A Linear Dynamic Programming Approach to Irrigation System Management with Depleting Groundwater," Management Science, INFORMS, vol. 31(4), pages 422-434, April.
    8. J E Annetts & E Audsley, 2002. "Multiple objective linear programming for environmental farm planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 933-943, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chattopadhyay, Pallavi Banerjee & Rangarajan, R., 2014. "Application of ANN in sketching spatial nonlinearity of unconfined aquifer in agricultural basin," Agricultural Water Management, Elsevier, vol. 133(C), pages 81-91.
    2. Archisman Mitra & Soumya Balasubramanya & Roy Brouwer, 2023. "Can cash incentives modify groundwater pumping behaviors? Evidence from an experiment in Punjab," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(3), pages 861-887, May.
    3. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    4. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    5. Robert, Marion & Thomas, Alban & Bergez, Jacques Eric, 2016. "Processes of adpatation in farm decision-making models. A review," TSE Working Papers 16-731, Toulouse School of Economics (TSE).
    6. Eric Audsley & Mirek Trnka & Santiago Sabaté & Joan Maspons & Anabel Sanchez & Daniel Sandars & Jan Balek & Kerry Pearn, 2015. "Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation," Climatic Change, Springer, vol. 128(3), pages 215-227, February.
    7. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    8. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
    9. Carravilla, M. A. & Oliveira, J. F., 2013. "Operations Research in Agriculture: Better Decisions for a Scarce and Uncertain World," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(2), pages 1-10, June.
    10. Chuansong Zhao & Chunxia Li & Jianxu Liu & Haixia Lian & Woraphon Yamaka, 2024. "Analysis of Factors Affecting the Spatial Association Network of Food Security Level in China," Agriculture, MDPI, vol. 14(11), pages 1-25, October.
    11. Fekete-Farkas, Maria & Rounsevell, Mark & Audsley, Eric, 2005. "Socio-economic Scenarios of Agricultural Land Use Change in Central and Eastern European Countries," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24640, European Association of Agricultural Economists.
    12. J.C.J. Groot & W.H.A. Rossing & M. Tichit & N. Turpin & A. Jellema & J. Baudry & P.H. Verburg & L. Doyen & G.W.J. van de Ven, 2009. "On the contribution of modelling to multifunctional agriculture: Learning from comparisons," Post-Print hal-00455433, HAL.
    13. Shunyu Yao & Neng Fan & Clark Seavert & Trent Teegerstrom, 2023. "Demand-Driven Harvest Planning and Machinery Scheduling for Guayule," SN Operations Research Forum, Springer, vol. 4(1), pages 1-25, March.
    14. Graves, A.R. & Morris, J. & Deeks, L.K. & Rickson, R.J. & Kibblewhite, M.G. & Harris, J.A. & Farewell, T.S. & Truckle, I., 2015. "The total costs of soil degradation in England and Wales," Ecological Economics, Elsevier, vol. 119(C), pages 399-413.
    15. Wu, Shiang-Jen & Yang, Han-Yuan & Chang, Che-Hao & Hsu, Chih-Tsung, 2023. "Modeling GA-derived optimization analysis for canal-based irrigation water allocation under variations in runoff-related and irrigation-related factors," Agricultural Water Management, Elsevier, vol. 290(C).
    16. Salassi, Michael E. & Deliberto, Michael A. & Guidry, Kurt M., 2013. "Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States," Agricultural Systems, Elsevier, vol. 118(C), pages 33-40.
    17. Vecino, Julio Berbel & Baldovín, Maria Jose López & Gutierrez, Carlos, 2005. "Multicriteria and Multiperiod Programming for Scenario Analysis in Guadalquivir River Irrigated Farming," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24612, European Association of Agricultural Economists.
    18. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    19. Chengcheng Zhai & Kurt Bretthauer & Jorge Mejia & Alfonso Pedraza‐Martinez, 2023. "Improving drinking water access and equity in rural Sub‐Saharan Africa," Production and Operations Management, Production and Operations Management Society, vol. 32(9), pages 2921-2939, September.
    20. M J López-Baldovin & C Gutiérrez-Martin & J Berbel, 2006. "Multicriteria and multiperiod programming for scenario analysis in Guadalquivir river irrigated farming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 499-509, May.

    More about this item

    Keywords

    Agricultural and Food Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aerrae:273047. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeraiea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.