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The Value Of Information For Variable Rate Nitrogen Applications: A Comparison Of Soil Test, Topographical, And Remote Sensing Information

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  • Hurley, Terrance M.
  • Kilian, Bernard
  • Malzer, Gary L.
  • Dikici, Huseyin

Abstract

We explore the value of soil test, topographical, and remote sensing information for guiding variable rate fertilizer applications in corn. Results suggest combining topographical and remote sensing information is more valuable than conventional soil tests. Considered separately, topographical and remote sensing information is not always as valuable as soil tests.

Suggested Citation

  • Hurley, Terrance M. & Kilian, Bernard & Malzer, Gary L. & Dikici, Huseyin, 2001. "The Value Of Information For Variable Rate Nitrogen Applications: A Comparison Of Soil Test, Topographical, And Remote Sensing Information," 2001 Annual meeting, August 5-8, Chicago, IL 20726, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea01:20726
    DOI: 10.22004/ag.econ.20726
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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. Babcock, Bruce A. & Pautsch, Gregory R., 1998. "Moving From Uniform To Variable Fertilizer Rates On Iowa Corn: Effects On Rates And Returns," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-16, December.
    3. Gary Kachanoski, 1999. "Economic Feasibility of Variable-Rate Technology for Nitrogen on Corn," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 914-927.
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    Cited by:

    1. Hurley, Terrance M. & Malzer, Gary L. & Kilian, Bernard, 2003. "Estimating Site-Specific Nitrogen Crop Response Functions: A Conceptual Framework And Geostatistical Model," 2003 Annual meeting, July 27-30, Montreal, Canada 21950, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. 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).
    3. Swinton, Scott M. & Liu, Yanyan & Miller, Neil R., 2002. "Is Yield Response Site-Specific? Revisiting Nitrogen Recommendations On Corn," 2002 Annual meeting, July 28-31, Long Beach, CA 19709, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.
    5. Griffin, Terry W. & Florax, Raymond J.G.M. & Lowenberg-DeBoer, James, 2006. "Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35367, Southern Agricultural Economics Association.
    6. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    7. Bullock, David S. & Lowenberg-DeBoer, Jess & Swinton, Scott M., 2002. "Adding value to spatially managed inputs by understanding site-specific yield response," Agricultural Economics, Blackwell, vol. 27(3), pages 233-245, November.

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