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Farm types and precision agriculture adoption: crops, regions, soil variability, and farm size

Author

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  • Schimmelpfennig, David
  • Lowenberg-DeBoer, James
Abstract
In the United States average adoption rates have increased for precision agriculture (PA) technologies used to produce many field crops. PA makes use of information collected on the farm to target site-specific, intensive management of farm production. The United States Department of Agriculture (USDA) Agricultural Resource Management Survey (ARMS) allows close examination of regional patterns of adoption, and how crop types and region interact with differences in farm sizes and soil productivity variability to influence adoption rates. The most common PA technologies are guidance systems that use global positioning systems (GPS) to steer tractors and other farm equipment. Remote sensing, soil mapping, and yield mapping all use GPS to geolocate data and create maps used to guide farm management decision. Variable rate input-application technologies (VRT) make use of remote images, soil tests, yields maps and other sources of information to apply different, more precise levels of inputs in farmer’s fields. GPS guided VRT fertilization was introduced in the early 1990s and increased slowly over the last three decades. The ARMS data for winter wheat (2017), corn (2016) and soybeans (2012) showed use of VRT seeding and pesticide applications growing rapidly. The data indicated that PA technology was being used on farms across all sizes and all regions, with adoption occurring more rapidly on larger farms. VRT use on soybean farms was highest in areas of higher soil variability.

Suggested Citation

  • Schimmelpfennig, David & Lowenberg-DeBoer, James, 2020. "Farm types and precision agriculture adoption: crops, regions, soil variability, and farm size," Agri-Tech Economics Papers 304070, Harper Adams University, Land, Farm & Agribusiness Management Department.
    • Handle: RePEc:ags:haaepa:304070
    DOI: 10.22004/ag.econ.304070
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    References listed on IDEAS

    as
    1. Schimmelpfennig, David & Ebel, Robert, 2011. "On the Doorstep of the Information Age: Recent Adoption of Precision Agriculture," Economic Information Bulletin 291945, United States Department of Agriculture, Economic Research Service.
    2. Guanming Shi & Jean-paul Chavas & Kyle Stiegert, 2010. "An Analysis of the Pricing of Traits in the U.S. Corn Seed Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1324-1338.
    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, 2018. "Crop Production Costs, Profits, And Ecosystem Stewardship With Precision Agriculture," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 50(1), pages 81-103, February.
    5. Hendry, David F. & Richard, Jean-Francois, 1982. "On the formulation of empirical models in dynamic econometrics," Journal of Econometrics, Elsevier, vol. 20(1), pages 3-33, October.
    6. Ebel, Robert M. & Schimmelpfennig, David E., 2011. "The Information Age and Adoption of Precision Agriculture," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-1.
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    2. Wang, Tong & Jin, Hailong & Sieverding, Heidi & Kumar, Sandeep & Miao, Yuxin & Rao, Xudong & Obembe, Oladipo & Mirzakhani Nafchi, Ali & Redfearn, Daren & Cheye, Stephen, 2023. "Understanding farmer views of precision agriculture profitability in the U.S. Midwest," Ecological Economics, Elsevier, vol. 213(C).
    3. Hanson, Erik D. & Cossette, Max K. & Roberts, David C., 2022. "The adoption and usage of precision agriculture technologies in North Dakota," Technology in Society, Elsevier, vol. 71(C).
    4. DeLay, Nathan & Comstock, Haden, 2021. "Recent Trends in PA Technology Adoption and Bundling in CornProduction: Implications for Farm Consolidation," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    5. Paul B. Hegedus & Bruce Maxwell & John Sheppard & Sasha Loewen & Hannah Duff & Giorgio Morales-Luna & Amy Peerlinck, 2023. "Towards a Low-Cost Comprehensive Process for On-Farm Precision Experimentation and Analysis," Agriculture, MDPI, vol. 13(3), pages 1-20, February.

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    Keywords

    Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies;

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