A Bayesian Analysis of GPS Guidance System in Precision Agriculture: The Role of Expectations
AbstractFarmer’s post adoption responses about technology are important in continuation and diffusion of a technology in precision agriculture. We studied farmer’s frequency of application decisions of GPS guidance system, after adoption. Using a Cotton grower’s precision farming survey in the U.S. and Bayesian approaches, our study suggests that ‘meeting expectation’ plays an important positive role. Farmer’s income level, farm size, and farming occupation are other important factors in modeling GPS guidance system adoption and application.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 150421.
Date of creation: 2013
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Precision agriculture; GPS guidance system; cotton farms; Bayesian; expectation; adoption; application; technology; Farm Management; Research and Development/Tech Change/Emerging Technologies;
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2008 Annual Meeting, July 27-29, 2008, Orlando, Florida
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- 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.
- 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.
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