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Understanding farmer views of precision agriculture profitability in the U.S. Midwest

Author

Listed:
  • Wang, Tong
  • Jin, Hailong
  • Sieverding, Heidi
  • Kumar, Sandeep
  • Miao, Yuxin
  • Rao, Xudong
  • Obembe, Oladipo
  • Mirzakhani Nafchi, Ali
  • Redfearn, Daren
  • Cheye, Stephen

Abstract

Precision Agriculture (PA) technologies are well known to be useful in addressing field heterogeneities and enabling informed site-specific management decisions. While profitability is the foremost factor considered by farmers when making PA adoption decisions, information in this regard is lacking from the farmers' perspective. This paper analyzed 1119 farmer responses from a 2021 survey conducted in four states along the western margins of the U.S. Midwest. Our findings show that while most (around 60%) non-adopters indicate that they are unaware of PA profit change, adopters are likely to rate a major profit increase. About two thirds of adopters rated at least a 5% increase in profitability towards variable rate (VR) fertilizer application (72%), VR seed application (68%), and automatic section control (66%). We modeled farmers' profit change subsequent to PA adoptions. Our regression results demonstrate that the profits from PA usage increase over time and that use of conservation practices likely influences PA profitability in a positive way. As soil quality and weather factors also affect profit ratings, it would be beneficial to compare and demonstrate profitability potential of various PA technologies on a regional basis and tailor the promotion efforts to farmers most likely to benefit from them.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:ecolec:v:213:y:2023:i:c:s0921800923002136
    DOI: 10.1016/j.ecolecon.2023.107950
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    1. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    2. Thompson, Nathanael M. & Bir, Courtney & Widmar, David A. & Mintert, James R., 2019. "Farmer Perceptions Of Precision Agriculture Technology Benefits," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(1), pages 142-163, February.
    3. Nair, Shyam & Wang, Chenggang & Segarra. Eduardo & Belasco, Eric & Larson, James & Velandia, Margarita & Lambert, Dayton & Reeves, Jeanne, 2011. "Adoption of Precision Agriculture for Cotton in the Southern United States," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 29(2).
    4. 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.
    5. 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.
    6. Jonathan McFadden & Francesca Casalini & Terry Griffin & Jesús Antón, 2022. "The digitalisation of agriculture: A literature review and emerging policy issues," OECD Food, Agriculture and Fisheries Papers 176, OECD Publishing.
    7. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    8. Madhu Khanna, 2021. "Digital Transformation of the Agricultural Sector: Pathways, Drivers and Policy Implications," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1221-1242, December.
    9. Isik, Murat & Khanna, Madhu, 2002. "Variable-Rate Nitrogen Application Under Uncertainty: Implications For Profitability And Nitrogen Use," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-16, July.
    10. Yari Vecchio & Marcello De Rosa & Gregorio Pauselli & Margherita Masi & Felice Adinolfi, 2022. "The leading role of perception: the FACOPA model to comprehend innovation adoption," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-19, December.
    11. 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.
    12. Jon T. Biermacher & B. Wade Brorsen & Francis M. Epplin & John B. Solie & William R. Raun, 2009. "The economic potential of precision nitrogen application with wheat based on plant sensing," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 397-407, July.
    13. D'Antoni, Jeremy M. & Mishra, Ashok K. & Powell, Rebekah R. & Martin, Steven W., 2012. "Farmers’ Perception of Precision Technology: The Case of Autosteer Adoption by Cotton Farmers," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119734, Southern Agricultural Economics Association.
    14. Späti, Karin & Huber, Robert & Finger, Robert, 2021. "Benefits of Increasing Information Accuracy in Variable Rate Technologies," Ecological Economics, Elsevier, vol. 185(C).
    15. Jeffcoat, Chris & Davis, Alison F. & Hu, Wuyang, 2012. "Willingness to Pay for Broadband Access by Kentucky Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(3), pages 1-12, August.
    16. Shockley, Jordan M. & Dillon, Carl R. & Stombaugh, Timothy S., 2011. "A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk, and Production Practices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(1), pages 1-19, February.
    17. 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.
    18. 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.
    19. Skevas, Theodoros & Kalaitzandonakes, Nicholas, 2020. "Farmer awareness, perceptions and adoption of unmanned aerial vehicles: evidence from Missouri," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    20. Madhu Khanna, 2001. "Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 35-51.
    21. Richard Peto, 1973. "Experimental Survival Curves for Interval‐Censored Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(1), pages 86-91, March.
    22. Smith, Craig M. & Dhuyvetter, Kevin C. & Kastens, Terry L. & Kastens, Dietrich & Smith, Logan, 2013. "Economics of Precision Agricultural Technologies Across the Great Plains," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2013, pages 1-22, June.
    23. Jonathan R. McFadden & Alicia Rosburg & Eric Njuki, 2022. "Information inputs and technical efficiency in midwest corn production: evidence from farmers' use of yield and soil maps," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 589-612, March.
    24. Erpeng Wang & Ning An & Zhifeng Gao & Emmanuel Kiprop & Xianhui Geng, 2020. "Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 739-747, August.
    25. 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.
    26. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    27. Robert Finger & Scott M. Swinton & Nadja El Benni & Achim Walter, 2019. "Precision Farming at the Nexus of Agricultural Production and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 313-335, October.
    28. Eric Ofori & Terry Griffin & Elizabeth Yeager, 2020. "Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 80(5), pages 647-664, May.
    29. McFadden, Jonathan & Njuki, Eric & Griffin, Terry, 2023. "Precision Agriculture in the Digital Era: Recent Adoption on U.S. Farms," USDA Miscellaneous 333550, United States Department of Agriculture.
    30. Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Goodman, W. Robert & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Reeves, Jeanne M. & Shurley, W. Dona, 2002. "Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Survey," Research Reports 91331, University of Tennessee, Department of Agricultural and Resource Economics.
    31. Madhu Khanna & Ruiqing Miao, 2022. "Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 1-23, January.
    32. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-19, January.
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