Intensity of precision agriculture technology adoption by cotton producers

Kenneth W. Paxton, Ashok K. Mishra, Sachin Chintawar, Roland K. Roberts, James A. Larson, Burton C. English, Dayton M. Lambert, Michele C. Marra, Sherry L. Larkin, Jeanne M. Reeves, Steven W. Martin

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)133-144
Number of pages12
JournalAgricultural and Resource Economics Review
Volume40
Issue number1
DOIs
StatePublished - Apr 2011
Externally publishedYes

Keywords

  • Cotton
  • Education
  • GPS
  • Negative binomial count data method
  • Poisson
  • Precision technologies

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Economics and Econometrics

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