Intensity of Precision Agriculture Technology Adoption by Cotton Producers
Kenneth W. Paxton,
Ashok Mishra (),
Sachin Chintawar,
Roland K. Roberts,
James Larson (),
Burton English,
Dayton Lambert,
Michele Marra,
Sherry L. Larkin,
Jeanne M. Reeves and
Steven W. Martin
Agricultural and Resource Economics Review, 2011, vol. 40, issue 1, 133-144
Abstract:
Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the role of spatial yield variability on the number of precision farming technologies adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for management decisions also adopted a higher number of precision agriculture technologies.
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (28)
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
Journal Article: Intensity of Precision Agriculture Technology Adoption by Cotton Producers (2011) 
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:cup:agrerw:v:40:y:2011:i:01:p:133-144_00
Access Statistics for this article
More articles in Agricultural and Resource Economics Review from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().