IDEAS home Printed from https://ideas.repec.org/p/ags/saea12/119802.html
   My bibliography  Save this paper

The Impact of Precision Agriculture Techniques on Kentucky Grain Farmers' Carbon Footprint

Author

Listed:
  • Brown, Rachael M.
  • Dillon, Carl R.
  • Schieffer, Jack
  • Shockley, Jordan M.

Abstract

This study estimates the carbon footprint of a Henderson County, Kentucky grain farmer under different production strategies; traditional farming and precision agriculture technologies. Four constrained optimization, whole farm analysis models were formulated under no-till conditions. One of the models was optimized without utilizing any precision agriculture techniques and was used as a base model to compare the other three models which incorporated precision agriculture technologies (PAT). The three technologies investigated include sub-meter auto-steer, RTK auto-steer and automatic section control (ASC). These models are used to analyze the different production systems to determine if said technologies increase expected net returns and enhance the carbon input:output ratio. Given the levels of anthropogenic greenhouse gases released by the agricultural sector, quantifying the potential reduction in these gases due to the adoption of PAT is essential in seeing exactly how PAT can alter the impacts to the environment. The results show that all precision agriculture techniques produce a Pareto improvement over the base model. Specifically, automatic section control gave the greatest improvement with a mean net return that was 0.59% over the base. RTK provided the most significant enhancement in the carbon ratio with an improvement of 2.42% over the base model. All of these improvements over the base scenario can to the adoption of precision agriculture technology.

Suggested Citation

  • Brown, Rachael M. & Dillon, Carl R. & Schieffer, Jack & Shockley, Jordan M., 2012. "The Impact of Precision Agriculture Techniques on Kentucky Grain Farmers' Carbon Footprint," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119802, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea12:119802
    DOI: 10.22004/ag.econ.119802
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/119802/files/2012%20SAEA%20RMB.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.119802?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Goodman, W. Robert & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Shurley, W. Donald & Reeves, Jeanne , 2004. "Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-16, April.
    2. Anvec, Tihomir & Whelan, Brett & McBratney, Alex, 2004. "On the Economics of Precision Agriculture: Technical, Informational and Environmental Aspects," 2004 Conference (48th), February 11-13, 2004, Melbourne, Australia 58362, Australian Agricultural and Resource Economics Society.
    3. Bergtold, Jason S., 2007. "The Conservation Decision: Economics of Conservation and Precision Agriculture (PowerPoint)," Agricultural Outlook Forum 2007 8059, United States Department of Agriculture, Agricultural Outlook Forum.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Larson, James A. & Roberts, Roland K. & English, Burton C. & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Paxton, Kenneth W. & Reeves, Jeanne M., 2007. "Factors Influencing Adoption of Remotely Sensed Imagery for Site-Specific Management in Cotton Production," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34971, Southern Agricultural Economics Association.
    2. Boyer, Christopher N. & Lambert, Dayton M. & Velandia, Margarita & English, Burton C. & Robert, Roland K. & Larson, James A. & Larkin, Sherry L. & Paudel, Krishna P. & Reeves, Jeanne M., 2016. "Cotton Producer Awareness and Participation in Cost-Sharing Programs for Precision Nutrient-Management Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-16, January.
    3. Paxton, Kenneth W. & Mishra, Ashok K. & Chintawar, Sachin & Roberts, Roland K. & Larson, James A. & English, Burton C. & Lambert, Dayton M. & Marra, Michele C. & Larkin, Sherry L. & Reeves, Jeanne M. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-12, April.
    4. Fan, Yubing & McCann, Laura E., 2015. "Households' Adoption of Drought Tolerant Plants: An Adaptation to Climate Change?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205544, Agricultural and Applied Economics Association.
    5. Walton, Jonathan C. & Larson, James A. & Roberts, Roland K. & Lambert, Dayton M. & English, Burton C. & Larkin, Sherry L. & Marra, Michele C., 2008. "PDA and Handheld GPS Adoption in Precision Cotton Production," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6839, Southern Agricultural Economics Association.
    6. Fan, Yubing & McCann, Laura & Qin, Hua, 2017. "Households’ Adoption of Drought Tolerant Plants: An Adaptation to Climate Change?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    7. Murage, A.W. & Midega, C.A.O. & Pittchar, J.O. & Khan, Zeyaur R., 2013. "Potential uptake determinants of climate-smart push-pull technology in drier agro-ecological zones of eastern Africa," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161511, African Association of Agricultural Economists (AAAE).
    8. Lijing Gao & J. Arbuckle, 2022. "Examining farmers’ adoption of nutrient management best management practices: a social cognitive framework," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(2), pages 535-553, June.
    9. Walton, Jonathan C. & Lambert, Dayton M. & Roberts, Roland K. & Larson, James A. & English, Burton C. & Larkin, Sherry L. & Martin, Steven W. & Marra, Michele C. & Paxton, Kenneth W. & Reeves, Jeanne , 2008. "Adoption and Abandonment of Precision Soil Sampling in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-21.
    10. Larkin, Sherry L. & Perruso, Larry & Marra, Michele C. & Roberts, Roland K. & English, Burton C. & Larson, James A. & Cochran, Rebecca L. & Martin, Steven W., 2005. "Factors Affecting Perceived Improvements in Environmental Quality from Precision Farming," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(3), pages 577-588, December.
    11. Wafula, Teresia Nekesah & Okello, Julius Juma & Otieno, David Jakinda, 2017. "Analysis Of The Use Of Inoculant-Based Technologies By Smallholder Farmers And Its Effect On Output Commercialization: Case Of Field Bean Farmers In Western Kenya," Dissertations and Theses 269392, University of Nairobi, Department of Agricultural Economics.
    12. 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.
    13. Margherita Masi & Jorgelina Di Pasquale & Yari Vecchio & Fabian Capitanio, 2023. "Precision Farming: Barriers of Variable Rate Technology Adoption in Italy," Land, MDPI, vol. 12(5), pages 1-16, May.
    14. 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).
    15. Michels, Marius & von Hobe, Cord-Friedrich & Mußhoff, Oliver, 2020. "Understanding the Adoption of Drones in German Agriculture," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305579, German Association of Agricultural Economists (GEWISOLA).
    16. Ren, Yongwang & Lambert, Dayton M. & Clark, Christopher D. & Boyer, Christopher N. & Griffith, Andre P., 2021. "Adoption of Warm Season Grasses by Beef Cattle Producers in the Fescue Belt," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(1), January.
    17. 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.
    18. Ancev, Tihomir & Odeh, Inakwu O.A., 2005. "Use of Spatially Referenced Data in Agricultural Economics Research," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137743, Australian Agricultural and Resource Economics Society.
    19. Michels, Marius & von Hobe, Cord-Friedrich & Mußhoff, Oliver, 2020. "Understanding the Adoption of Drones in German Agriculture," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305579, German Association of Agricultural Economists (GEWISOLA).
    20. Steele, Scott R., 2009. "Expanding the solution set: Organizational economics and agri-environmental policy," Ecological Economics, Elsevier, vol. 69(2), pages 398-405, December.

    More about this item

    Keywords

    Agricultural and Food Policy; Environmental Economics and Policy; Farm Management; Production Economics; Resource /Energy Economics and Policy;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saea12:119802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.