IDEAS home Printed from
   My bibliography  Save this article

Crop Irrigation Scheduling Via Simulation-Based Experimentation


  • Talpaz, Hovav
  • Mjelde, James W.


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

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)


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

    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


    Crop Production/Industries;


    Access and download statistics


    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:wjagec:32115. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.