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Dynamic programming and the computation of economic injury levels for crop disease control

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  • Onstad, David W.
  • Rabbinge, Rudy

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Suggested Citation

  • Onstad, David W. & Rabbinge, Rudy, 1985. "Dynamic programming and the computation of economic injury levels for crop disease control," Agricultural Systems, Elsevier, vol. 18(4), pages 207-226.
  • Handle: RePEc:eee:agisys:v:18:y:1985:i:4:p:207-226
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    Cited by:

    1. Vosough Ahmadi, Bouda & Burnett, Fiona J. & Young, Caroline S. & McQuilken, Mark P. & Stott, Alistair W., 2013. "Reducing the impact of Sclerotinia disease by determining optimum crop rotations using dynamic programming," Working Papers 152213, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    2. Hoque, Ziaul & Farquharson, Robert J. & Dillon, Martin & Kauter, Greg, 2000. "An economic assessment of Insecticide Resistance Management strategies in the Australian Cotton Industry," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123662, Australian Agricultural and Resource Economics Society.
    3. Zhu, Zeng-Rong & Cheng, Jiaan, 1997. "Optimal strategies for management of white-backed planthopper, Sogatella furcifera, on second season rice in Zhejiang, China: Dynamic programming approach," Agricultural Systems, Elsevier, vol. 54(2), pages 243-258, June.
    4. van der Wal, Gert & Lens, Peter, 1995. "Handling complaints in hospitals," Health Policy, Elsevier, vol. 31(1), pages 17-27, January.
    5. Ahmadi, Bouda Vosough & Burnett, Fiona J. & Young, Caroline S. & McQuilken, Mark P. & Stott, Alistair W., 2013. "Reducing the impact of sclerotinia disease by determining optimum crop rotations using dynamic programming," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158689, Agricultural Economics Society.

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