IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v50y2001i1p1-8.html
   My bibliography  Save this article

Optimal cropping pattern in a canal command area

Author

Listed:
  • Singh, D. K.
  • Jaiswal, C. S.
  • Reddy, K. S.
  • Singh, R. M.
  • Bhandarkar, D. M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Singh, D. K. & Jaiswal, C. S. & Reddy, K. S. & Singh, R. M. & Bhandarkar, D. M., 2001. "Optimal cropping pattern in a canal command area," Agricultural Water Management, Elsevier, vol. 50(1), pages 1-8, August.
    • Handle: RePEc:eee:agiwat:v:50:y:2001:i:1:p:1-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(01)00104-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deepti Rani & Sandra Mourato & Madalena Moreira, 2020. "A Generalized Dynamic Programming Modelling Approach for Integrated Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1335-1351, March.
    2. Garg, N.K. & Dadhich, Sushmita M., 2014. "Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation," Agricultural Water Management, Elsevier, vol. 140(C), pages 1-13.
    3. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Hugo A. Loáiciga, 2017. "Optimized cropping patterns under climate-change conditions," Climatic Change, Springer, vol. 143(3), pages 429-443, August.
    4. A. Vasan & Komaragiri Raju, 2007. "Application of Differential Evolution for Irrigation Planning: An Indian Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(8), pages 1393-1407, August.
    5. Ghazali, Mahboubeh & Honar, Tooraj & Nikoo, Mohammad Reza, 2018. "A hybrid TOPSIS-agent-based framework for reducing the water demand requested by stakeholders with considering the agents’ characteristics and optimization of cropping pattern," Agricultural Water Management, Elsevier, vol. 199(C), pages 71-85.
    6. Sanjay Raul & Sudhindra Panda, 2013. "Simulation-Optimization Modeling for Conjunctive Use Management under Hydrological Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1323-1350, March.
    7. Singh, Ajay & Panda, Sudhindra Nath, 2012. "Development and application of an optimization model for the maximization of net agricultural return," Agricultural Water Management, Elsevier, vol. 115(C), pages 267-275.
    8. Li, W. & Li, Y.P. & Li, C.H. & Huang, G.H., 2010. "An inexact two-stage water management model for planning agricultural irrigation under uncertainty," Agricultural Water Management, Elsevier, vol. 97(11), pages 1905-1914, November.
    9. Elzaki, Raga M. & Elrasheed, Mutasim.M.M. & Elmulthum, Nagat A., 2022. "Optimal crop combination under soaring oil and energy prices in the kingdom of Saudi Arabia," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Ahmed M. Alabdulkader & Ahmed I. Al-Amoud & Fawzi S. Awad, 2012. "Optimization of the cropping pattern in Saudi Arabia using a mathematical programming sector model," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 58(2), pages 56-60.
    11. Aurobrata Das & Bhabagrahi Sahoo & Sudhindra N. Panda, 2020. "Evaluation of Nexus-Sustainability and Conventional Approaches for Optimal Water-Energy-Land-Crop Planning in an Irrigated Canal Command," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2329-2351, June.
    12. Mandal, Uday & Dhar, Anirban & Panda, Sudhindra N., 2021. "Enhancement of sustainable agricultural production system by integrated natural resources management framework under climatic and operational uncertainty," Agricultural Water Management, Elsevier, vol. 252(C).
    13. Benli, Bogachan & Kodal, Suleyman, 2003. "A non-linear model for farm optimization with adequate and limited water supplies: Application to the South-east Anatolian Project (GAP) Region," Agricultural Water Management, Elsevier, vol. 62(3), pages 187-203, October.
    14. Shannak, Sa'd, 2022. "Optimizing dynamics of water-energy-food nexus in a desert climate," Energy Policy, Elsevier, vol. 164(C).
    15. Irfan Ahmed Shaikh & Aimrun Wayayok & Munir Ahmed Mangrio & Ziyad Ali Alhussain & Farman Ali Chandio & Zaheer Ahmed Khan & Waseem Asghar Khan & Mogtaba Mohammed & Murtada K. Elbashir & Jamshaid Ul Rah, 2022. "Optimizing Approach of Water Allocation to Off-Takes During Reduced Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 891-913, February.
    16. Moradi-Jalal, Mahdi & Bozorg Haddad, Omid & Karney, Bryan W. & Marino, Miguel A., 2007. "Reservoir operation in assigning optimal multi-crop irrigation areas," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 149-159, May.
    17. Mohammad S. Khorshidi & Mohammad Reza Nikoo & Mojtaba Sadegh & Banafsheh Nematollahi, 2019. "A Multi-Objective Risk-Based Game Theoretic Approach to Reservoir Operation Policy in Potential Future Drought Condition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1999-2014, April.
    18. Yousefi, Maryam & Banihabib, Mohammad Ebrahim & Soltani, Jaber & Roozbahani, Abbas, 2018. "Multi-objective particle swarm optimization model for conjunctive use of treated wastewater and groundwater," Agricultural Water Management, Elsevier, vol. 208(C), pages 224-231.
    19. S. Dutta & B.C. Sahoo & Rajashree Mishra & S. Acharya, 2016. "Fuzzy Stochastic Genetic Algorithm for Obtaining Optimum Crops Pattern and Water Balance in a Farm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4097-4123, September.

    More about this item

    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:eee:agiwat:v:50:y:2001:i:1:p:1-8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.