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Crop Irrigation Scheduling Via Simulation-Based Experimentation

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  • Talpaz, Hovav
  • Mjelde, James W.
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    Abstract

    A method for optimizing the irrigation schedule is presented. When the response surface, generated by “experimenting” with the crop simulation models is concave (convex), an optimal solution can be found. The process is iteratively repeated till convergence is achieved. Corn irrigation scheduling is demonstrated, with soil moisture levels as control variables.

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    File URL: http://purl.umn.edu/32115
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    Bibliographic Info

    Article provided by Western Agricultural Economics Association in its journal Western Journal of Agricultural Economics.

    Volume (Year): 13 (1988)
    Issue (Month): 02 (December)
    Pages:

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    Handle: RePEc:ags:wjagec:32115

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    Web page: http://waeaonline.org/
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    Related research

    Keywords: Crop Production/Industries;

    References

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    1. Harris, Thomas R. & Mapp, Harry P., Jr., 1980. "A Control Theory Approach To Optimal Irrigation Scheduling In The Oklahoma Panhandle," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 12(01), July.
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    Cited by:
    1. Upendram, Sreedhar & Peterson, Jeffrey M., 2006. "Optimal irrigation schedules and estimation of corn yield under varying well capacities and soil moisture levels in Western Kansas," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35421, Southern Agricultural Economics Association.

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