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Socioeconomic Profiles of Early Adopters of Precision Agriculture Technologies

Author

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  • Daberkow, Stan G.
  • McBride, William D.

Abstract

Corn producers are the largest users of cropland and agrichemicals in U.S. agriculture, and represent a major market for precision agriculture technologies. Based on a USDA survey of 950 corn-producing farms, approximately 9% utilized some aspect of precision agriculture for corn production in 1996. A logit analysis indicated that farmers were more likely to adopt precision technologies if they farmed a large number of corn acres, earned a sizable farm income, and had high expected corn yields. The probability of adoption was also higher for farm operators using a computerized farm record system, who were less than 50 years of age, and who relied on crop consultants for information on precision agriculture.

Suggested Citation

  • Daberkow, Stan G. & McBride, William D., 1998. "Socioeconomic Profiles of Early Adopters of Precision Agriculture Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 16(2), pages 1-18.
    • Handle: RePEc:ags:jloagb:90442
    DOI: 10.22004/ag.econ.90442
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    Citations

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    Cited by:

    1. Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
    2. Fausti, Scott W. & Erickson, Bruce & Clay, David E. & Clay, Sharon A., 2021. "The Custom Service Industry’s Role in Precision Agriculture Adoption: A Literature Review," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    3. Stuart, D. & Denny, R.C.H. & Houser, M. & Reimer, A.P. & Marquart-Pyatt, S., 2018. "Farmer selection of sources of information for nitrogen management in the US Midwest: Implications for environmental programs," Land Use Policy, Elsevier, vol. 70(C), pages 289-297.
    4. Jesse Tack & Keith H. Coble & Robert Johansson & Ardian Harri & Barry J. Barnett, 2019. "The Potential Implications of “Big Ag Data” for USDA Forecasts," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 668-683, December.
    5. Muratbek Baglan & Gershom Endelani Mwalupaso & Xue Zhou & Xianhui Geng, 2020. "Towards Cleaner Production: Certified Seed Adoption and Its Effect on Technical Efficiency," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    6. Federica Caffaro & Eugenio Cavallo, 2019. "The Effects of Individual Variables, Farming System Characteristics and Perceived Barriers on Actual Use of Smart Farming Technologies: Evidence from the Piedmont Region, Northwestern Italy," Agriculture, MDPI, vol. 9(5), pages 1-13, May.
    7. Yari Vecchio & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Fabian Capitanio, 2020. "Adoption of Precision Farming Tools: The Case of Italian Farmers," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    8. El-Osta, Hisham S. & Mishra, Ashok K., 2001. "Adoption And Economic Impact Of Site-Specific Technologies In U.S. Agriculture," 2001 Annual meeting, August 5-8, Chicago, IL 20593, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Norton, George W. & Swinton, Scott M., 2000. "Precision Agriculture: Global Prospects and Environmental Implications," 2000 Conference, August 13-18, 2000, Berlin, Germany 197207, International Association of Agricultural Economists.
    10. Vecchio, Yari & Di Pasquale, Jorgelina & Del Giudice, Teresa & Pauselli, Gregorio & Masi, Margherita & Adinolfi, Felice, 2022. "Precision farming: what do Italian farmers really think? An application of the Q methodology," Agricultural Systems, Elsevier, vol. 201(C).
    11. Walton, Jonathan C. & Larson, James A. & Roberts, Roland K. & Lambert, Dayton M. & English, Burton C. & Larkin, Sherry L. & Marra, Michele C., 2008. "PDA and Handheld GPS Adoption in Precision Cotton Production," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6839, Southern Agricultural Economics Association.
    12. Embaye, Weldensie T. & Bergtold, Jason S. & Archer, David & Flora, Cornelia & Andrango, Graciela C. & Odening, Marting & Buysse, Jeroen, 2018. "Examining farmers' willingness to grow and allocate land for oilseed crops for biofuel production," Energy Economics, Elsevier, vol. 71(C), pages 311-320.
    13. 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.
    14. Soule, Meredith J., 2001. "Soil Management And The Farm Typology: Do Small Family Farms Manage Soil And Nutrient Resources Differently Than Large Family Farms?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(2), pages 1-10, October.
    15. 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).
    16. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).

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