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The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops

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  • Pannell, David J.

Abstract

Most weed control decisions are made with the benefit of some information about weather conditions and actual weed densities. This study is an investigation of the value of adjusting weed control decisions in response to these types of information. For a specific example, it is found that the expected value of information can reach 15% of expected gross margin. The value of information about yield prospects is higher than that for weed density. The value of information is markedly affected by the degree of risk aversion and the type of decision rule adopted. Use of information reduces the expected level of herbicide usage.

Suggested Citation

  • Pannell, David J., 1994. "The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-16, December.
    • Handle: RePEc:ags:jlaare:30751
    DOI: 10.22004/ag.econ.30751
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    Cited by:

    1. Marshall, Graham R. & Parton, Kevin A. & Hammer, G.L., 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 1-23, December.
    2. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-20.
    3. Jeffrey, Scott R. & Pannell, David J., 2013. "Economics of Prioritising Environmental Research: An Expected Value of Partial Perfect Information (EVPPI) Framework," Working Papers 144944, University of Western Australia, School of Agricultural and Resource Economics.
    4. Abedullah & Sushil Pandey, 2007. "The Value of Rainfall Forecasts in the Rainfed Rice Areas of the Philippines," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(2), pages 69-81, Jul-Dec.
    5. Stéphane Couture & Stéphane Lemarié & Sabrina Teyssier & Pascal Toquebeuf, 2024. "The value of information under ambiguity: a theoretical and experimental study on pest management in agriculture," Theory and Decision, Springer, vol. 96(1), pages 19-47, February.

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