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Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers

  • Jenkins, Amanda
  • Velandia, Margarita M.
  • Lambert, Dayton M.
  • Roberts, Roland K.
  • Larson, James A.
  • English, Burton C.
  • Martin, Steven W.

Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information sources to search for precision farming information are analyzed using a multivariate probit regression accounting for correlation among the different selection decisions. Factors influencing these decisions are age, education, and income. These findings should be valuable to precision farming information providers who may be able to better meet their target clientele needs.

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File URL: http://purl.umn.edu/117779
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Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 40 (2011)
Issue (Month): 2 (August)
Pages:

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Handle: RePEc:ags:arerjl:117779
Contact details of provider: Web page: http://www.narea.org/

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  6. Walton, Jonathan C. & Roberts, Roland K. & Lambert, Dayton M. & 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," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6215, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. David R. Just & Steven A. Wolf & Steve Wu & David Zilberman, 2002. "Consumption of Economic Information in Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 39-52.
  8. Khanna, Madhu, 1999. "Sequential Adoption Of Site-Specific Technologies And Its Implications For Nitrogen Productivity: A Double Selectivity Model," 1999 Annual meeting, August 8-11, Nashville, TN 21599, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  9. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November.
  10. David R. Just & Steven A. Wolf & David Zilberman, 2006. "Effect of information formats on information services: analysis of four selected agricultural commodities in the USA," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 289-301, November.
  11. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
  12. Walton, Jonathan C. & Larson, James A. & Roberts, Roland K. & Lambert, Dayton M. & English, Burton C. & Larkin, Sherry L. & Marra, Michele C. & Martin, Steven W. & Paxton, Kenneth W. & Reeves, Jeanne , 2010. "Factors Influencing Farmer Adoption of Portable Computers for Site-Specific Management: A Case Study for Cotton Production," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(02), May.
  13. Gerald F. Ortmann & George F. Patrick & Wesley N. Musser & D. Howard Doster, 1993. "Use of private consultants and other sources of information by large cornbelt farmers," Agribusiness, John Wiley & Sons, Ltd., vol. 9(4), pages 391-402.
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