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In-field Spatial Variability and Profitability of Precision Nitrogen Application On Corn in Buchanan County, Iowa

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  • Osei, Edward
  • Jafri, Syed H.

Abstract

Despite the intuitive appeal of precision farming, adoption of precision technology options has been well below expectations. A review of precision farming studies suggests as expected that precision farming becomes more profitable as in-field spatial variability increases. However, no studies have attempted to quantify infield variability at any reasonable scale beyond a few experimental fields. This study contributes to the assessment of precision farming by introducing an approach that can help characterize the relative profitability of precision farming methods as compared to conventional farming. Using readily available geographic information systems databases on crop cover, soil type, and weather, we assess the viability of precision nitrogen applications on corn in Buchanan County, Iowa. We find little evidence for viability of precision nitrogen applications in contrast to uniform application rates, largely because of the lack of significant in-field spatial variability in soil types.

Suggested Citation

  • Osei, Edward & Jafri, Syed H., 2015. "In-field Spatial Variability and Profitability of Precision Nitrogen Application On Corn in Buchanan County, Iowa," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205845, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205845
    DOI: 10.22004/ag.econ.205845
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    References listed on IDEAS

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    2. Luc Anselin & Rodolfo Bongiovanni & Jess Lowenberg-DeBoer, 2004. "A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
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    5. Bullock, David S., 2013. "Simulating the Value of Information Generated by On-farm Agronomic Experimentation Using Precision Agriculture Technology," 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152371, International Agricultural Trade Research Consortium.
    6. Lambert, Dayton M. & Lowenberg-DeBoer, James & Bongiovanni, Rodolfo, 2003. "Spatial Regression Models For Yield Monitor Data: A Case Study From Argentina," 2003 Annual meeting, July 27-30, Montreal, Canada 22022, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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