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Farmer Perceptions of Precision Agriculture Technology Benefits

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

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.

Suggested Citation

  • Thompson, Nathanael L. & Bir, Courtney & Widmar, David A. & Mintert, James R., . "Farmer Perceptions of Precision Agriculture Technology Benefits," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 51(1).
    • Handle: RePEc:ags:joaaec:356465
    DOI: 10.22004/ag.econ.356465
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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.
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    6. DeLay, Nathan D. & Mooney, Daniel F. & Ritten, John P. & Hoag, Dana L., 2024. "Virtual Fencing: Economic and Policy Implications of an Emerging Livestock Technology for Western Rangelands," Western Economics Forum, Western Agricultural Economics Association, vol. 22(1), September.
    7. Han, Guang & Wang, Jingjing & Arbuckle, J.G. & Zhong, Jinhuan, 2026. "Understanding the adoption of precision agriculture technologies by farmers in China: Insights from the unified theory of acceptance and use of technology," Agricultural Systems, Elsevier, vol. 231(C).
    8. Gilbert A. Odilla & Pin-Hsueh Lee & Maryanne Betsy Usagi & David Lawver & Amy Boren-Alpizar, 2025. "Perceptions and Experiences of Precision Agricultural Technology Adopters: A Multi-Case Study of Farmers in Taiwan and the USA," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 2179-2187, May.
    9. 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).
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. Ghali, Mohamed & Ben Arfa, Nejla & Justinia, Giffona & Di Bianco, Soazig & Saili, Abdul Rahman, 2026. "Adoption of digital tools in french beef cattle, pig, and vegetable farming: A mixed-methods analysis of motives, barriers, and structural determinants," Agricultural Systems, Elsevier, vol. 231(C).
    16. MacPherson, Joseph & Rosman, Anna & Helming, Katharina & Burkhard, Benjamin, 2025. "A participatory impact assessment of digital agriculture: A Bayesian network-based case study in Germany," Agricultural Systems, Elsevier, vol. 224(C).
    17. 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.
    18. 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).
    19. Lippsmeyer, Margaret & Langemeier, Michael & Mintert, James & Thompson, Nathanael, 2022. "Resilience to Risk in Modern Agriculture: Implications of Farm Management," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 40(2).

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