Skip to main content Accessibility help
×
Home

FARMER PERCEPTIONS OF PRECISION AGRICULTURE TECHNOLOGY BENEFITS

  • NATHANAEL M. THOMPSON (a1), COURTNEY BIR (a1), DAVID A. WIDMAR (a2) and JAMES R. MINTERT (a1)

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.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      FARMER PERCEPTIONS OF PRECISION AGRICULTURE TECHNOLOGY BENEFITS
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      FARMER PERCEPTIONS OF PRECISION AGRICULTURE TECHNOLOGY BENEFITS
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      FARMER PERCEPTIONS OF PRECISION AGRICULTURE TECHNOLOGY BENEFITS
      Available formats
      ×

Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

*Corresponding author's e-mail: thomp530@purdue.edu

References

Hide All
Byrd, E.S., Widmar, N.J.O., and Gramig, B.. “Presentation Matters: Number of Attributes Presented Impacts Estimated Preferences.” Agribusiness: An International Journal DOI: 34,2(2018):377–89.
Daberkow, S.G., and McBride, W.D.. “Farm and Operator Characteristics Affecting the Awareness and Adoption of Precision Agriculture Technologies in the US.” Precision Agriculture 4,2(2003):163–77.
Erickson, B., and Widmar, D.A.. 2015 Precision Agricultural Services Dealership Survey Results. West Lafayette, IN: Department of Agricultural Economics/Department of Agronomy, Purdue University, 2015. Internet site: http://agribusiness.purdue.edu/files/file/2015-crop-life-purdue-precision-dealer-survey.pdf (Accessed September 7, 2018).
Fernandez-Cornejo, J., Daberkow, S.G., and McBride, W.D.. “Decomposing the Size Effect on the Adoption of Innovations: Agrobiotechnology and Precision Agriculture.” AgBio Forum 4,2(2001):124–36.
Finn, A., and Louviere, J.J.. “Determining the Appropriate Response to Evidence of Public Concern: The Case of Food Safety.” Journal of Public Policy and Marketing 11,2(1992):1225.
Fisher, R.J.Social Desirability Bias and the Validity of Indirect Questioning.” Journal of Consumer Research 20,2(1993):303–15.
Griffin, T.W., Lowenberg-DeBoer, J., Lambert, D.M., Peone, J., Payne, T., and Daberkow, S.G.. “Adoption, Profitability, and Making Better Use of Precision Farming Data.” Staff Paper No. 04–06, West Lafayette, IN: Department of Agricultural Economics, Purdue University, 2004.
Krinsky, I., and Robb, A.L.. “On Approximating the Statistical Properties of Elasticities.” Review of Economics and Statistics 68,4(1986):715–19.
Lambert, D.M., Paudel, K.P., and Larson, J.A.. “Bundled Adoption of Precision Agriculture Technologies by Cotton Producers.” Journal of Agriculture and Resource Economics 40,2(2015):325–45.
Louviere, J.J., Hensher, D.A., and Swait, J.D.. Stated Choice Methods: Analysis and Applications. Cambridge: Cambridge University Press, 2000.
Lowenberg-DeBoer, J. “Precision Farming or Convenience Agriculture.” Paper presented at the 11th Australian Agronomy Conference, Geelong, Victoria, Australia, February 2–6, 2003.
Lusk, J.L., and Briggeman, B.C.. “Food Values.” American Journal of Agricultural Economics 91,1(2009):184–96.
Marley, A.A.J., and Louviere, J.J.. “Some Probabilistic Models of Best, Worst, and Best-Worst Choices.” Journal of Mathematical Psychology 49,6(2005):464–80.
McFadden, D.The Measurement of Urban Travel Demand.” Journal of Public Economics 3,4(1974):303–28.
Miller, N., Griffin, T., Bergtold, J., Sharda, A., and Ciampitti, I.. “Adoption of Precision Agriculture Technology Bundles on Kansas Farms.” Selected paper presented at the Southern Agricultural Economic Association Annual Meeting, Mobile, AL, February 4–7, 2017.
Mintert, J., Widmar, D., Langemeier, M., Boehlje, M., and Erickson, B.. “The Challenges of Precision Agriculture: Is Big Data the Answer?” Selected paper prepared for presentation at the Southern Agricultural Economics Association Annual Meeting, San Antonio, TX, February 6–9, 2016.
Nielsen, R.L. “Identify and Eliminate ‘Gremlins’ from Yield Monitor Data.” Corny News Network, Purdue University Extension, 2016. Internet site: https://www.agry.purdue.edu/ext/corn/news/timeless/CleaningYieldData.html (Accessed September 7, 2018).
Nielsen, R.L.. “Yield Monitor Calibration: Garbage In, Garbage Out.” Corny News Network, Purdue University Extension, 2017. Available online at https://www.agry.purdue.edu/ext/corn/news/timeless/yldmoncalibr.html. (Accessed September 7, 2018).
Poe, G.L., Giraud, K.L., and Loomis, J.B.. “Computational Methods for Measuring the Difference of Empirical Distributions.” American Journal of Agricultural Economics 87,2(2005):353–65.
Robert, P.C., Rust, R.H., and Larson, W.E., eds. “Site-Specific Management for Agricultural Systems.” Proceedings of Site-Specific Management for Agricultural Systems: Second International Conference. Madison, WI: American Society of Agronomy, 1995.
Scarpa, R., Zanoli, R., Bruschi, V., and Naspetti, S.. “Inferred and Stated Attribute Non-Attendance in Food Choice Experiments.” American Journal of Agricultural Economics 95,1(2013):165–80.
Schimmelpfennig, D.Crop Production Costs, Profits, and Ecosystem Stewardship with Precision Agriculture.” Journal of Agricultural and Applied Economics 50,1(2018):81103.
Schimmelpfennig, D.. Farm Profits and Adoption of Precision Agriculture. Washington, DC: U.S. Department of Agriculture, Economic Research Service, Economic Research Report No. 217, 2016.
Schimmelpfennig, D., and Ebel, R.. “Sequential Adoption and Cost Savings from Precision Agriculture.” Journal of Agricultural and Resource Economics 41,1(2016):97115.
Shockley, J.M., Dillon, C.R., and Stombaugh, T.S.. “A Whole Farm Analysis of the Influence of Auto-Steer Navigation on Net Returns, Risk, and Production Practices.” Journal of Agricultural and Applied Economics 43,1(2011):5775.
Shockley, J.M., Dillon, C.R., Stombaugh, T.S., and Shearer, S.. “Whole Farm Analysis of Automatic Section Control for Agricultural Machinery.” Precision Agriculture 13,4(2012):411–20.
Smith, C.M., Dhuyvetter, K.C., Kastens, T.L., Kastens, D.L., and Smith, L.M.. “Economics of Precision Agriculture Technologies across the Great Plains.” Journal of the American Society of Farm Managers and Rural Appraisers 2013(2013):185206.
Thompson, N.M., Bir, C., and Widmar, N.J.O.. “Farmer Perceptions of Risk in 2017.” Agribusiness (2018). doi:10.1002/agr.21566.
Torrez, C., Miller, N., Ramsey, S., and Griffin, T.. Factors Influencing the Adoption of Precision Agriculture Technologies by Kansas Farmers. Kansas State University Department of Agricultural Economics Extension, Publication KSU-AgEcon-CT-NM-SR-TG-2016.1, 2016. Internet site: https://www.agmanager.info/kfma/research-articles/factors-influencing-adoption-precision-agricultural-technologies-kansas (Accessed September 7, 2018).
Train, K., and Weeks, M.. “Discrete Choice Models in Preference Space and Willingness-to-Pay Space.” Applications of Simulation Methods in Environmental and Resource Economics. Scarpa, R. and Alberini, A., eds. Dordrecht, the Netherlands: Springer, 2005, pp. 116.
Train, K.E. Discrete Choice Models with Simulation. Cambridge, UK: Cambridge Press, 2003.
U.S. Department of Agriculture (USDA). 2012 Census of Agriculture. Washington, DC: USDA, 2014. Internet site: https://www.agcensus.usda.gov/Publications/2012/Full_Report/Volume_1,_Chapter_1_US/usv1.pdf (Accessed September 7, 2018).
Wechsler, S.J. “Recent Trends in GE Adoption.” Washington, DC: United States Department of Agriculture, Economic Research Service, 2017. Internet site: https://www.ers.usda.gov/data-products/adoption-of-genetically-engineered-crops-in-the-us/recent-trends-in-ge-adoption.aspx (Accessed September 7, 2018).
Widmar, N.J.O., Byrd, E.S., Dominick, S.R., Wolf, C.A., and Acharya, L.. “Social Desirability Bias in Reporting of Holiday Season Healthfulness.” Preventive Medicine Reports 4(December 2016):270–76.
Wolf, C.A., and Tonsor, G.T.. “Dairy Farmer Policy Preferences.” Journal of Agricultural and Resource Economics 38,2(2013):220–34.
Zhou, X.V., English, B.C., Larson, J.A., Lambert, D.M., Roberts, R.K., Boyer, C.N., Velandia, M., Falconer, L.L., and Martin, S.W.. “Precision Farming Adoption and Trends in the Southern U.S.” Journal of Cotton Science 21,2(2017):143–55.

Keywords

JEL classification

Type Description Title
PDF
Supplementary materials

Thompson et al. supplementary material
Appendix A

 PDF (155 KB)
155 KB

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed