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Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming

Published online by Cambridge University Press:  28 April 2015

Roland K. Roberts ,
Burton C. English ,
James A. Larson ,
Rebecca L. Cochran ,
W. Robert Goodman ,
Sherry L. Larkin ,
Michele C. Marra ,
Steven W. Martin ,
W. Donald Shurley  and
Jeanne M. Reeves
Roland K. Roberts
Affiliation:
The University of Tennessee, Knoxville, TN
Burton C. English
Affiliation:
The University of Tennessee, Knoxville, TN
James A. Larson
Affiliation:
The University of Tennessee, Knoxville, TN
Rebecca L. Cochran
Affiliation:
The University of Tennessee, Knoxville, TN
W. Robert Goodman
Affiliation:
Auburn University, Auburn, AL
Sherry L. Larkin
Affiliation:
University of Florida, Gainesville, FL
Michele C. Marra
Affiliation:
North Carolina State University, Raleigh, NC
Steven W. Martin
Affiliation:
Delta Research and Extension Center, Mississippi State University, Stoneville, MS
W. Donald Shurley
Affiliation:
Rural Development Center, University of Georgia, Athens, GA
Jeanne M. Reeves
Affiliation:
Cotton Incorporated, Cary, NC
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Abstract

Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms.

Keywords

cottongrid soil samplingprecision farmingprobitsample selectionsite-specific informationtechnology adoptionvariable-rate applicationD21Q12Q16
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 36 , Issue 1 , April 2004 , pp. 143 - 158
Copyright
Copyright © Southern Agricultural Economics Association 2004

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