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Precision Nitrogen Fertilization Technology with Micro Grids

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  • Biermacher, Jon T.
  • Epplin, Francis M.
  • Brorsen, B. Wade
  • Solie, John B.
  • Raun, Bill

Abstract

Sensor-based precision fertilizer technologies are being developed and researched by production scientists. One such technology uses normalized difference vegetation index (NDVI) reflectance measurements of growing winter wheat plants and a nitrogen fertilizer optimization algorithm (NFOA) to determine nitrogen requirement necessary for plants to reach their yield plateau. A number of precision fertilizer application systems that use this technology are considered in this paper. A linear response stochastic plateau wheat yield function conditional on NDVI reflectance measurements is estimated and used within an expected profit-maximization framework to estimate upper bounds on the returns from the precision nitrogen application systems. The on-the-go precision system that assumes perfect information was approximately $7 per acre more profitable than the convention of applying 80 pounds of nitrogen prior to planting in the fall. The whole-field precision system was break-even with conventional methods.

Suggested Citation

  • Biermacher, Jon T. & Epplin, Francis M. & Brorsen, B. Wade & Solie, John B. & Raun, Bill, 2006. "Precision Nitrogen Fertilization Technology with Micro Grids," 2006 Annual meeting, July 23-26, Long Beach, CA 21046, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21046
    DOI: 10.22004/ag.econ.21046
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    References listed on IDEAS

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    1. 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.
    2. Michael D. Frank & Bruce R. Beattie & Mary E. Embleton, 1990. "A Comparison of Alternative Crop Response Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 597-603.
    3. Quirino Paris, 1992. "The von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 1019-1028.
    4. Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
    5. Grimm, Sadi S. & Paris, Quirino & Williams, William A., 1987. "A Von Liebig Model For Water And Nitrogen Crop Response," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-11, December.
    6. Richard K. Perrin, 1976. "The Value of Information and the Value of Theoretical Models in Crop Response Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 54-61.
    7. Kaitibie, Simeon & Epplin, Francis M. & Brorsen, B. Wade & Horn, Gerald W. & Krenzer, Eugene G. & Paisley, Steven I., 2003. "Optimal Stocking Density for Dual-Purpose Winter Wheat Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(1), pages 29-38, April.
    8. Edgar A. Lanzer & Quirino Paris, 1981. "A New Analytical Framework for the Fertilization Problem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 93-103.
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    Cited by:

    1. Haque, Mohua & Biermacher, Jon T. & Kering, Maru K. & Guretzky, John A., 2012. "Managing Nitrogen and Phosphorus Nutrients for Switchgrass Produced for Bioenergy Feedstock in Phosphorus-Deficient Soil," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119765, Southern Agricultural Economics Association.

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