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Pr - Nitrogen Fertilizer Recommendations Based On Precision Sensing And Bayesian Updating

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  • McFadden, Brandon R.
  • Brorsen, B. Wade

Abstract

Methods are available to predict nitrogen needs of winter wheat based on plant sensing, but adoption rates by producers are low. Low adoption rates are likely due to economic feasibility. The objective of this paper was to develop a method to Bayesian update prior information about nitrogen application with precision sensing information and determine if Bayesian updated nitrogen recommendations increase the economic feasibility of precision sensing technology. Results indicated that Bayesian updated nitrogen recommendations were higher than precision sensing recommendations. However, the Bayesian nitrogen recommendations did not increase net returns.

Suggested Citation

  • McFadden, Brandon R. & Brorsen, B. Wade, 2015. "Pr - Nitrogen Fertilizer Recommendations Based On Precision Sensing And Bayesian Updating," 20th Congress, Quebec, Canada, 2015 345756, International Farm Management Association.
    • Handle: RePEc:ags:ifma15:345756
    DOI: 10.22004/ag.econ.345756
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    References listed on IDEAS

    as
    1. Tumusiime, Emmanuel & B. Wade, Brorsen & Mosali, Jagadeesh & Johnson, Jim & Locke, James & Biermacher, Jon T., 2011. "Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(4), pages 541-552, November.
    2. Huang, Wen-Yuan & McBride, William D. & Vasavada, Utpal, 2009. "Recent Volatility in U.S. Fertilizer Prices: Causes and Consequences," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-4, March.
    3. John P. Doll, 1971. "Obtaining Preliminary Bayesian Estimates of the Value of a Weather Forecast," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(4), pages 651-655.
    4. Pautsch, Gregory R. & Babcock, Bruce A. & Breidt, F. Jay, 1999. "Optimal Information Acquisition Under A Geostatistical Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-25, December.
    5. Jon T. Biermacher & B. Wade Brorsen & Francis M. Epplin & John B. Solie & William R. Raun, 2009. "The economic potential of precision nitrogen application with wheat based on plant sensing," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 397-407, July.
    6. Graham R. Marshall & Kevin A. Parton & G.L. Hammer, 1996. "Risk Attitude, Planting Conditions And The Value Of Seasonal Forecasts To A Dryland Wheat Grower," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 40(3), pages 211-233, December.
    7. Gelson Tembo & B. Wade Brorsen & Francis M. Epplin & Emílio Tostão, 2008. "Crop Input Response Functions with Stochastic Plateaus," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 424-434.
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