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Abstract

A nested logit model was applied to the 2009 Southern Cotton Precision Farming Survey to study the influence of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDTs) and Variable Rate Application Technology (VRT). The results reveal that farm size, ownership of the land, and exposure to Extension activities are important factors affecting the choice of VDTs. Also, the farmers adopting both soil- based and plant-based VDTs were found to be more likely to adopt VRT. The probability of adoption of VRT was found to be lower for Texas cotton farmers compared to those in other surveyed states, regardless of the type of VDT adopted.

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