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Adoption Determinants of Precision Agriculture Technologies and Conservation Agriculture: Evidence from South Dakota

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  • Kolady, Deepthi E.
  • Van Der Sluis, Evert

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  • Kolady, Deepthi E. & Van Der Sluis, Evert, 2021. "Adoption Determinants of Precision Agriculture Technologies and Conservation Agriculture: Evidence from South Dakota," Western Economics Forum, Western Agricultural Economics Association, vol. 19(2), December.
    • Handle: RePEc:ags:weecfo:315934
    DOI: 10.22004/ag.econ.315934
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    References listed on IDEAS

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    1. 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.
    2. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    3. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    4. Wade, Tara & Claassen, Roger & Wallander, Steven, 2015. "Conservation-Practice Adoption Rates Vary Widely by Crop and Region," Economic Information Bulletin 262111, United States Department of Agriculture, Economic Research Service.
    5. Rosa-Schleich, Julia & Loos, Jacqueline & Mußhoff, Oliver & Tscharntke, Teja, 2019. "Ecological-economic trade-offs of Diversified Farming Systems – A review," Ecological Economics, Elsevier, vol. 160(C), pages 251-263.
    6. Lambert, Dayton M. & Paudel, Krishna P. & Larson, James A., 2015. "Bundled Adoption of Precision Agriculture Technologies by Cotton Producers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-21, May.
    7. Bowman, Maria & Wallander, Steven & Lynch, Lori, 2016. "An Economic Perspective on Soil Health," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 08, pages 1-1, September.
    8. Kolady, Deepthi E & Uddin, Md Mahi & Sluis, Evert Vander & Deutz, Allen P, "undated". "Determinants of adoption and adoption intensity of precision agriculture technologies: Evidence from South Dakota," 2020 Annual Meeting, February 1-4, 2020, Louisville, Kentucky 302325, Southern Agricultural Economics Association.
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    Cited by:

    1. Ayorinde Ogunyiola & Maaz Gardezi, 2022. "Restoring sense out of disorder? Farmers’ changing social identities under big data and algorithms," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1451-1464, December.
    2. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. 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).
    4. 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).
    5. Wang, Tong & Jin, Hailong & Sieverding, Heidi L. & Rao, Xudong & Miao, Yuxin & Kumar, Sandeep & Redfearn, Daren & Nafchi, Ali, 2022. "Understanding farmer perceptions of precision agriculture profitability in the U.S. Midwest," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322502, Agricultural and Applied Economics Association.

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