Precision Nitrogen Fertilization Technology with Micro Grids
AbstractSensor-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.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21046.
Date of creation: 2006
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- 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(02), December.
- Pautsch, Gregory R. & Babcock, Bruce A. & Breidt, F. J., 1999. "Optimal Information Acquisition Under a Geostatistical Model," Staff General Research Papers 1517, Iowa State University, Department of Economics.
- Gregory R. Pautsch & Bruce A. Babcock & F. Jay Breidt, 1999. "Optimal Information Acquisition under a Geostatistical Model," Center for Agricultural and Rural Development (CARD) Publications 99-wp217, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- 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.
- Kaitibie, Simeon & Epplin, Francis M. & Brorsen, B. Wade & Horn, Gerald W. & Krenzer, Eugene G., Jr. & Paisley, Steven I., 2003. "Optimal Stocking Density for Dual-Purpose Winter Wheat Production," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(01), April.
- 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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