IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v45y2013i02p295-312_00.html
   My bibliography  Save this article

Changes in Producers' Perceptions of Within-Field Yield Variability after Adoption of Cotton Yield Monitors

Author

Listed:
  • Rejesus, Roderick M.
  • Marra, Michele C.
  • Roberts, Roland K.
  • English, Burton C.
  • Larson, James A.
  • Paxton, Kenneth W.

Abstract

This article investigates how information from cotton yield monitors influences the perceptions of within-field yield variability of cotton producers. Using yield distribution modeling techniques and survey data from cotton producers in 11 southeastern states, we find that cotton farmers who responded to the survey tend to underestimate within-field yield variability (by approximately 5-18%) when not using site-specific yield monitor information. Results further indicate that surveyed cotton farmers who responded to a specific question about yield monitors place a value of approximately $20/acre/year (on average) on the additional information about within-field yield variability that the yield monitor technology provides.

Suggested Citation

  • Rejesus, Roderick M. & Marra, Michele C. & Roberts, Roland K. & English, Burton C. & Larson, James A. & Paxton, Kenneth W., 2013. "Changes in Producers' Perceptions of Within-Field Yield Variability after Adoption of Cotton Yield Monitors," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(2), pages 295-312, May.
    • Handle: RePEc:cup:jagaec:v:45:y:2013:i:02:p:295-312_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070800004752/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Schimmelpfennig, David & Ebel, Robert, 2011. "On the Doorstep of the Information Age: Recent Adoption of Precision Agriculture," Economic Information Bulletin 291945, United States Department of Agriculture, Economic Research Service.
    2. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    3. Mooney, Daniel F. & Roberts, Roland K. & English, Burton C. & Lambert, Dayton M. & Larson, James A. & Velandia, Margarita M. & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Mishra, Ashok, 2010. "Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey," Research Reports 91333, University of Tennessee, Department of Agricultural and Resource Economics.
    4. Pease, James W., 1992. "A Comparison Of Subjective And Historical Crop Yield Probability Distributions," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-10, December.
    5. Bruce A. Babcock & Chad E. Hart & Dermot J. Hayes, 2004. "Actuarial Fairness of Crop Insurance Rates with Constant Rate Relativities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 563-575.
    6. Ardian Harri & Cumhur Erdem & Keith H. Coble & Thomas O. Knight, 2009. "Crop Yield Distributions: A Reconciliation of Previous Research and Statistical Tests for Normality," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(1), pages 163-182.
    7. Field, James E. & Misra, Sukant K. & Ramirez, Octavio, 2003. "Evaluating Crop and Revenue Insurance Products as Risk Management Tools for Texas Cotton Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(1), pages 39-52, April.
    8. Chen, Shu-Ling & Miranda, Mario J., 2008. "Modeling Texas Dryland Cotton Yields, With Application to Crop Insurance Actuarial Rating," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-14, April.
    9. Delavande, Adeline & Giné, Xavier & McKenzie, David, 2011. "Measuring subjective expectations in developing countries: A critical review and new evidence," Journal of Development Economics, Elsevier, vol. 94(2), pages 151-163, March.
    10. Matías L. Ruffo & Donald G. Bullock & Germán A. Bollero, 2009. "The Value of Variable Rate Technology: An Information-Theoretic Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 209-223.
    11. Barry K. Goodwin, 2009. "Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 19-41.
    12. Roberts, Roland K. & Larson, James A., 2004. "Farmers' Perceptions Of Spatial Yield Variability As Influenced By Precision Farming Information Gathering Technologies," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34600, Southern Agricultural Economics Association.
    13. English, Burton C. & Mahajanashetti, S.B. & Roberts, Roland K., 2001. "Assessing Spatial Break-even Variability in Fields with Two or More Management Zones," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 551-565, December.
    14. Chen, Shu-Ling & Miranda, Mario J., 2008. "Modeling Texas Dryland Cotton Yields, With Application to Crop Insurance Actuarial Rating," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 239-252, April.
    15. Ebel, Robert M. & Schimmelpfennig, David E., 2011. "The Information Age and Adoption of Precision Agriculture," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-1.
    16. Pease, James W., 1992. "A Comparison of Subjective and Historical Crop Yield Probability Distributions," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(2), pages 23-32, December.
    17. Cochran, Rebecca L. & Roberts, Roland K. & English, Burton C. & Larson, James A. & Goodman, W. Robert & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Paxton, Kenneth W. & Shurley, W. Don, 2006. "Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey," Research Reports 91332, University of Tennessee, Department of Agricultural and Resource Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jeffrey Gillespie & Narayan Nyaupane & Brittany Dunn & Kenneth McMillin, 2016. "Why do farmers decide to produce meat goats? Evidence from the United States," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 33(4), pages 911-927, December.

    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. Tor N. Tolhurst & Alan P. Ker, 2015. "On Technological Change in Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 137-158.
    2. 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.
    3. Zanini, Fabio C. & Irwin, Scott H. & Schnitkey, Gary D. & Sherrick, Bruce J., 2000. "Estimating Farm-Level Yield Distributions For Corn And Soybeans In Illinois," 2000 Annual meeting, July 30-August 2, Tampa, FL 21720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Clop-Gallart, M. Merce & Juarez-Rubio, Francisco, 2008. "Shape Persistence in Elicited Subjective Crop Yield Probability Density Functions," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44128, European Association of Agricultural Economists.
    5. Hennessy, David A., 2009. "Crop Yield Skewness and the Normal Distribution," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-19, April.
    6. Christopher N. Boyer & B. Wade Brorsen & Emmanuel Tumusiime, 2015. "Modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 1-10, January.
    7. Agarwal, Sandip Kumar, 2017. "Subjective beliefs and decision making under uncertainty in the field," ISU General Staff Papers 201701010800006248, Iowa State University, Department of Economics.
    8. 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.
    9. 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.
    10. Ebel, Robert M. & Schimmelpfennig, David E., 2012. "Production Cost and the Sequential Adoption of Precision Technology," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124393, Agricultural and Applied Economics Association.
    11. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    12. Clop-Gallart, M. Merce & Juarez-Rubio, Francisco, 2005. "Elicitation of Subjective Crop Yield PDF for DSS Implementation," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24561, European Association of Agricultural Economists.
    13. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    14. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1605-1634, September.
    15. Hennessy, David A., 2011. "Modeling Stochastic Crop Yield Expectations with a Limiting Beta Distribution," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-15, April.
    16. Douadia Bougherara & Laurent Piet, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers hal-02790605, HAL.
    17. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    18. Metcalfe, Todd & Bosch, Darrell J. & Pease, James W. & Alley, Mark M. & Phillips, Steve B., 2007. "Yield Reserve Program Costs in the Virginia Coastal Plain," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(2), pages 1-16, October.
    19. MacDonald, James M. & Korb, Penni & Hoppe, Robert A., 2013. "Farm Size and the Organization of U.S. Crop Farming," Economic Research Report 262221, United States Department of Agriculture, Economic Research Service.
    20. 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.

    More about this item

    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:cup:jagaec:v:45:y:2013:i:02:p:295-312_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.