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Evaluating economic threshold for dynamically optimal disease management

Author

Listed:
  • Liu, Yangxuan
  • Small, Ian
  • Langemeier, Michael
  • Gramig, Benjamin
  • Preckel, Paul
  • Joseph, Laura
  • Wu, Yuanhan
  • Fry, William

Abstract

Precision agriculture has emerged as a revolutionary technology in helping make farm decisions. It transforms farm related data into information, and then coverts information into useful knowledge for decision-making. This study evaluates economic thresholds for a new web-based decision support system developed for precision fungicide management for potato production. Using 10 years of computer simulation experiments from 152 locations in the United States, we compared different thresholds in terms of disease severity, fungicide usage efficiency, and net income over fungicide cost to manage potato late blight disease. The empirical results show that the economic thresholds improved disease suppression and farming profit relative to the previous critical thresholds while maintaining fungicide use efficiency.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea16:236018
    DOI: 10.22004/ag.econ.236018
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    References listed on IDEAS

    as
    1. Schimmelpfennig, David & Ebel, Robert, 2011. "On the Doorstep of the Information Age: Recent Adoption of Precision Agriculture," Economic Information Bulletin 291945, United States Department of Agriculture, Economic Research Service.
    2. Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.
    3. 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.
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