Bundled Adoption of Precision Agriculture Technologies by Cotton Producers

• Main Authors: Dayton M. Lambert, Krishna P. Paudel, James A. Larson
• Format: Article
• Language: English
• Published: Western Agricultural Economics Association 2015-05-01
• Series: Journal of Agricultural and Resource Economics
• Subjects: adoption; cotton; multiple indicator multiple causation model; precision agriculture; technology bundles
• Online Access: https://ageconsearch.umn.edu/record/206599

This research analyzes the adoption patterns among cotton farmers for remote sensing, yield monitors, soil testing, soil electrical conductivity, and other precision agriculture technologies using a Multiple Indicator Multiple Causation regression model. Adoption patterns are analyzed using principle component analysis to determine natural technology groupings. Identified bundles are regressed on farm structure and operator characteristics. The propensity to adopt technology bundles was greater for producers managing relatively larger operations who used a variety of information sources to learn about precision farming, irrigated cotton, practiced crop rotation, and participated in working land conservation programs.