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Pr - Precision Agriculture Technology Adoption In U.S. Crop Production

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  • Mintert, James
  • Thompson, Nathanael
  • Widmar, David
  • Bir, Courtney

Abstract

The objective of this research was to obtain updated estimates of the usage of precision agriculture technology on commercial scale U.S. crop farms. Over 800 U.S. farms with corn, soybean, wheat or cotton enterprises were surveyed to learn of their usage of the following key precision agriculture technologies; yield monitoring, guidance and auto-steer for tractors and harvesters, precision soil sampling and variable rate fertilizer application, variable rate seeding, use of drones or unmanned aerial vehicles (UMAV) and satellite/aerial imagery. Results indicated that these key precision agriculture technologies were more widely used among commercial scale U.S. crop farms than reported previously, ranging as high as 93 and 91 percent for auto-steer and yield monitors, respectively. Variable rate fertilizer application and variable rate seeding were being used by 73 and 60 percent of farms, respectively. Only drones/UMAV were being used by less than half of the farms surveyed. Sixty-nine percent of survey respondents reported that the biggest barrier to adoption of precision agriculture technology was cost suggesting that a majority of U.S. crop producers still find precision agriculture technology’s value proposition at least somewhat problematic.

Suggested Citation

  • Mintert, James & Thompson, Nathanael & Widmar, David & Bir, Courtney, 2019. "Pr - Precision Agriculture Technology Adoption In U.S. Crop Production," 22nd Congress, Tasmania, Australia, March 3-8, 2019 345888, International Farm Management Association.
    • Handle: RePEc:ags:ifma19:345888
    DOI: 10.22004/ag.econ.345888
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    References listed on IDEAS

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    1. Fernandez-Cornejo, Jorge & Daberkow, Stan G. & McBride, William D., 2001. "Decomposing The Size Effect On The Adoption Of Innovations: Agrobiotechnology And Precision Farming," 2001 Annual meeting, August 5-8, Chicago, IL 20527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Lambert, Dayton M. & Lowenberg-DeBoer, James & Griffin, Terry W. & Peone, J. & Payne, Tim & Daberkow, Stan G., 2004. "Adoption, Profitability, And Making Better Use Of Precision Farming Data," Staff Papers 28615, Purdue University, Department of Agricultural Economics.
    3. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    4. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(01), pages 1-19, January.
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