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Risk management strategies using potato precision farming technology

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  • Liu, Yangxuan
  • Langemeier, Michael
  • Small, Ian
  • Joseph, Laura
  • Fry, William

Abstract

Stochastic dominance, stochastic dominance with respect to a function, and stochastic efficiency with respect to a function are used to compare late blight management strategies between a calendar spray schedule and a spray schedule recommended by Potato/Tomato Late Blight Decision Support System (DSS). Results show that the DSS recommended spray schedule is a more effective management strategy for controlling late blight in terms of disease control, net income over fungicide cost, and risk-adjusted net income. The value added by DSS ranges from $30 to $544 per acre. Our research contributes to the literature by providing a method to evaluate the economic benefits of adopting DSS.

Suggested Citation

  • Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205417
    DOI: 10.22004/ag.econ.205417
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    Cited by:

    1. Liu, Yangxuan & Small, Ian & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Joseph, Laura & Wu, Yuanhan & Fry, William, 2016. "Evaluating economic threshold for dynamically optimal disease management," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236018, Agricultural and Applied Economics Association.
    2. Liu, Yangxuan & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Small, Ian & Joseph, Laura & Fry, William, 2016. "Economic Threshold for Dynamically Optimal Late Blight Management," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230080, Southern Agricultural Economics Association.

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