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Crop Irrigation Scheduling Via Simulation-Based Experimentation

Author

Listed:
  • Talpaz, Hovav
  • Mjelde, James W.

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.

Suggested Citation

  • Talpaz, Hovav & Mjelde, James W., 1988. "Crop Irrigation Scheduling Via Simulation-Based Experimentation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(02), December.
  • Handle: RePEc:ags:wjagec:32115
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    File URL: http://purl.umn.edu/32115
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    References listed on IDEAS

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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. Uri Shani & Yacov Tsur & Amos Zemel & David Zilberman, 2009. "Irrigation production functions with water-capital substitution," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 55-66, January.
    2. Gonzales, Kathrina G. & Predo, Canesio D. & de Guzman, Rosalina G. & Reyes, Celia M., 2010. "Assessing the Value of Seasonal Climate Forecasts on Farm-level Corn Production through Simulation Modeling," Philippine Journal of Development PJD 2009 Vol. XXXVI No. 1, Philippine Institute for Development Studies.
    3. Wegener, Malcolm Keith, 1995. "Modelling studies in the Australian sugar industry," Dissertations-Doctoral 253208, AgEcon Search.
    4. 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.

    More about this item

    Keywords

    Crop Production/Industries;

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