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Optimal Control of Irrigation Scheduling Using a Random Time Frame

Author

Listed:
  • J. Thomas McGuckin
  • Craig Mapel
  • Robert Lansford
  • Ted Sammis

Abstract

A dynamic programming model of irrigation scheduling is developed which accounts for stochastic weather conditions, results in simple irrigation decision rules, and can be operated on current microcomputers. The model employs heat unit intervals instead of chronological time to define the dynamic equations of the crop-soil system. Procedures are outlined for estimating the transition probabilities of climate within the heat unit intervals. When compared to maximum yield irrigation scheduling, the model increases net returns of corn, sorghum, and cotton by $10.00 to $30.00 per acre.

Suggested Citation

  • J. Thomas McGuckin & Craig Mapel & Robert Lansford & Ted Sammis, 1987. "Optimal Control of Irrigation Scheduling Using a Random Time Frame," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(1), pages 123-133.
    • Handle: RePEc:oup:ajagec:v:69:y:1987:i:1:p:123-133.
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    File URL: http://hdl.handle.net/10.2307/1241313
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    Citations

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    Cited by:

    1. Bontemps, Christophe & Couture, Stephane, 1999. "Dynamics And Uncertainty In Environmental And Natural Resource Management Under Scarcity: The Case Of Irrigation," 1999 Annual meeting, August 8-11, Nashville, TN 21504, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. 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.
    3. Christine Heumesser & Sabine Fuss & Jana Szolgayová & Franziska Strauss & Erwin Schmid, 2012. "Investment in Irrigation Systems under Precipitation Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3113-3137, September.
    4. Hornbaker, Robert H. & Mapp, Harry P., Jr., 1988. "A Dynamic Analysis Of Water Savings From Advanced Irrigation Technology," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-9, December.
    5. Watkins, K. Bradley & Mapp, Harry, 1992. "A Risk and Water Quality Analysis of Alternative Irrigation Technologies Under Different Irrigation Management Strategies," WAEA/ WFEA Conference Archive (1929-1995) 321394, Western Agricultural Economics Association.
    6. Al-Jamal, M. S. & Ball, S. & Sammis, T. W., 2001. "Comparison of sprinkler, trickle and furrow irrigation efficiencies for onion production," Agricultural Water Management, Elsevier, vol. 46(3), pages 253-266, January.

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