A Bayesian Analysis of GPS Guidance System in Precision Agriculture: The Role of Expectations

Aditya Khanal, Ashok Mishra (), Dayton Lambert and Krishna Paudel

No 150421, 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association

Abstract: Farmer’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.

Keywords: Farm Management; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 26
Date: 2013
New Economics Papers: this item is included in nep-agr
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/150421/files/precision_bayesian_Khanal.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea13:150421

DOI: 10.22004/ag.econ.150421

Access Statistics for this paper

More papers in 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().