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

Published online by Cambridge University Press:  15 September 2016

Amanda Jenkins ,
Margarita Velandia ,
Dayton M. Lambert ,
Roland K. Roberts ,
James A. Larson ,
Burton C. English  and
Steven W. Martin
Amanda Jenkins
Affiliation:
Cooperative Extension Service of the University of Kentucky in Elizabethtown, Kentucky
Margarita Velandia
Affiliation:
Department of Agricultural and Resource Economics at the University of Tennessee in Knoxville, Tennessee
Dayton M. Lambert
Affiliation:
Department of Agricultural and Resource Economics at the University of Tennessee in Knoxville, Tennessee
Roland K. Roberts
Affiliation:
Department of Agricultural and Resource Economics at the University of Tennessee in Knoxville, Tennessee
James A. Larson
Affiliation:
Department of Agricultural and Resource Economics at the University of Tennessee in Knoxville, Tennessee
Burton C. English
Affiliation:
Department of Agricultural and Resource Economics at the University of Tennessee in Knoxville, Tennessee
Steven W. Martin
Affiliation:
Delta Research and Extension Center at Mississippi State University in Stoneville, Mississippi
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Abstract

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.

Keywords

Extensioninformation-source-use decisionsmediamultivariate probitprecision agriculture technologiesprivate sources

Information

Type
Contributed Papers
Information
Agricultural and Resource Economics Review , Volume 40 , Issue 2 , August 2011 , pp. 307 - 320
Copyright
Copyright © 2011 Northeastern Agricultural and Resource Economics Association 

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