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Weed Control Decision Rules under Uncertainty

Author

Listed:
  • William Deen
  • Alfons Weersink
  • Calum G. Turvey
  • Susan Weaver

Abstract

A model of weed control, which took into account the stochastic nature of crop price, yield, and weed density, was developed to assist farmers in determining weed densities that justify herbicide application and the optimal rate of application. In an application of cocklebur control in soybeans, it was found that the value of following the "if-then-else" treatment strategy versus a fixed application rate regardless of weed density was approximately $25 per acre at low weed numbers. Profits of the marginal treatment strategy are higher than the "if-then-else" strategy, but may not be sufficient to cover the additional informational costs. Under both strategies, the total amount of herbicide applied decreases with increases in uncertainty under the assumption of risk neutrality. The result is due to the convex relationship between weed density and yield loss. Under the assumption of maximizing expected utility, there are instances in which herbicide use increases with risk aversion as per conventional wisdom.

Suggested Citation

  • William Deen & Alfons Weersink & Calum G. Turvey & Susan Weaver, 1993. "Weed Control Decision Rules under Uncertainty," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(1), pages 39-50.
  • Handle: RePEc:oup:revage:v:15:y:1993:i:1:p:39-50.
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    File URL: http://hdl.handle.net/10.2307/1349710
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    Cited by:

    1. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    2. Cobourn, Kelly M. & Goodhue, Rachael E. & Williams, Jeffrey C., 2009. "The Role of Harvest Timing in Pest Management: Grower Response to Infestation by the California Olive Fruit Fly," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49475, Agricultural and Applied Economics Association.
    3. Archer, David W. & Shogren, Jason F., 1996. "Endogenous risk in weed control management," Agricultural Economics, Blackwell, vol. 14(2), pages 103-122, July.
    4. Epanchin-Niell, Rebecca S. & Wilen, James E., 2012. "Optimal spatial control of biological invasions," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 260-270.
    5. Archer, David Walter, 1995. "Self-insurance and self-protection in weed control: implications for nonpoint source pollution," ISU General Staff Papers 1995010108000012033, Iowa State University, Department of Economics.

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