Bundled Adoption of Precision Agriculture Technologies by Cotton Producers
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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.