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A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk, and Production Practices

Author

Listed:
  • Shockley, Jordan M.
  • Dillon, Carl R.
  • Stombaugh, Timothy S.

Abstract

A whole farm economic analysis was conducted to provide a detailed assessment into the economic, risk, and production implications due to the adoption of auto-steer navigation. It was determined that auto-steer navigation was profitable for a grain farmer in Kentucky with net returns increasing up to 0.90% ($3.35/acre). Additionally, the technology could be used in reducing production risk. Adoption of the technology also alters production practices for optimal use.

Suggested Citation

  • 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, Cambridge University Press, vol. 43(1), pages 57-75, February.
    • Handle: RePEc:cup:jagaec:v:43:y:2011:i:01:p:57-75_00
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    Cited by:

    1. Johannes Munz & Heinrich Schuele, 2022. "Influencing the Success of Precision Farming Technology Adoption—A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    2. Vassalos, Michael & Dillon, Carl R. & Coolong, Timothy, . "Optimal Land Allocation and Production Timing for Fresh Vegetable Growers under Price and Production Uncertainty," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-16.
    3. Vassalos, Michael & Dillon, Carl R. & Coolong, Tim, 2012. "Choice of Optimal Planting and Marketing Decisions for Fresh Vegetable Producers: A Mathematical Programming Approach," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 120016, Southern Agricultural Economics Association.
    4. Ankit Sharma & Apoorv Prakash & Shiva Bhambota & Santosh Kumar, 2025. "Investigations of precision agriculture technologies with application to developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 15135-15171, July.
    5. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    6. Velandia, Margarita & Edge, Brittani & Boyer, Christopher & Larson, James & Lambert, Dayton & Wilson, Bradley & Buschermohle, Michael & Rejesus, Roderick & Falconer, Larry & English, Burton C., 2016. "Factors Influencing the Adoption of Automatic Section Control Technologies and GPS Auto-Guidance Systems in Cotton Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235563, Agricultural and Applied Economics Association.
    7. 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.
    8. Shockley, Jordan & Dillon, Carl R. & Stombaugh, Timothy S., 2012. "The Influence of Auto-Steer on Machinery Selection and Land Acquisition," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2012, pages 1-7, June.
    9. 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).
    10. Kopp, Thomas & Finger, Robert & Huber, Robert & Nabernegg, Markus & Sexton, Richard J., 2024. "The Effects of Digital Yield Monitoring on Greenhouse Gas Emissions in the United States," GEWISOLA 64th Annual Conference, Giessen, Germany, September 25–27, 2024 364720, GEWISOLA.
    11. Jordan Shockley & Carl Dillon & James Lowenberg‐DeBoer & Tyler Mark, 2022. "How will regulation influence commercial viability of autonomous equipment in US production agriculture?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 865-878, June.
    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. Gaganpreet Singh Hundal & Chad Matthew Laux & Dennis Buckmaster & Mathias J Sutton & Michael Langemeier, 2023. "Exploring Barriers to the Adoption of Internet of Things-Based Precision Agriculture Practices," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
    14. Hanson, Erik & Roberts, David C., 2020. "Precision Agriculture Technology Usage and Adoption Patterns," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304265, Agricultural and Applied Economics Association.
    15. 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.
    16. 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).
    17. Smith, Craig M. & Dhuyvetter, Kevin C. & Kastens, Terry L. & Kastens, Dietrich & Smith, Logan, . "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.

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