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Farmer Perceptions of Precision Agriculture Technology Benefits

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  • Thompson, Nathanael M.
  • Bir, Courtney L.
  • Mintert, James R.
  • Widmar, David

Abstract

The objective of this research was to evaluate producers’ perspectives of four key precision agriculture technologies (variable rate fertilizer application, precision soil sampling, guidance and autosteer, and yield monitoring) in terms of the benefits they provide to their farms (increased yield, reduced production costs, and increased convenience) using a best-worst scaling choice experiment. Results indicate that farmers’ perceptions of the benefits derived from various precision agriculture technologies are heterogeneous. To better understand farmers’ adoption decisions, or lack thereof, it is important to first understand their perceptions of the benefits precision agriculture technologies provide.
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Suggested Citation

  • Thompson, Nathanael M. & Bir, Courtney L. & Mintert, James R. & Widmar, David, 2018. "Farmer Perceptions of Precision Agriculture Technology Benefits," 2018 Annual Meeting, August 5-7, Washington, D.C. 274367, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea18:274367
    DOI: 10.22004/ag.econ.274367
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    Cited by:

    1. Shahrina Md Nordin & Sonia Lohana & Siti Nooriza Abd Razak & Vicky Kumar & Rafidah Abdul Rashid & Ammar Redza Ahmad Rizal & Eko Atmadji, 2023. "Identification of Opportunities for Espousing Green Fertilizers Technology Among Smallholder Paddy Farmers for Higher Productivity and Environmental Sustenance," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. 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).
    3. Édson Luis Bolfe & Lúcio André de Castro Jorge & Ieda Del’Arco Sanches & Ariovaldo Luchiari Júnior & Cinthia Cabral da Costa & Daniel de Castro Victoria & Ricardo Yassushi Inamasu & Célia Regina Grego, 2020. "Precision and Digital Agriculture: Adoption of Technologies and Perception of Brazilian Farmers," Agriculture, MDPI, vol. 10(12), pages 1-16, December.
    4. da Silveira, Franco & da Silva, Sabrina Letícia Couto & Machado, Filipe Molinar & Barbedo, Jayme Garcia Arnal & Amaral, Fernando Gonçalves, 2023. "Farmers' perception of the barriers that hinder the implementation of agriculture 4.0," Agricultural Systems, Elsevier, vol. 208(C).
    5. Monteiro Moretti, Débora & Baum, Chad M. & Ehlers, Melf-Hinrich & Finger, Robert & Bröring, Stefanie, 2023. "Exploring actors' perceptions of the precision agriculture innovation system – A Group Concept Mapping approach in Germany and Switzerland," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    6. 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).
    7. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    8. Joana Colussi & Eric L. Morgan & Gary D. Schnitkey & Antônio D. Padula, 2022. "How Communication Affects the Adoption of Digital Technologies in Soybean Production: A Survey in Brazil," Agriculture, MDPI, vol. 12(5), pages 1-24, April.
    9. 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.
    10. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    11. 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).

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