A Multinomial Logit Analysis of the Adoption of Cotton Precision Farming Technologies (original) (raw)

Precision agriculture is gaining acceptance all over the world as a management strategy that increases the input use efficiency and reduces the negative environmental impacts of intensive agriculture production. Even with these advantages, the rate of adoption of precision agriculture practices is low in the US especially among the cotton producers. Using farm level data from the2009 Southern Precision farming Survey, this study analyses the farm and farmer characteristics that influence the adoption of specific variability detection technologies by the cotton farmers in the southern United States. A multinomial logit model with different technologies to detect field variability as choices was used to analyze the data. The results indicated that cotton farmers in Texas are less likely to adopt cotton yield monitor or employing a consultant to detect field variability, whereas they are more likely to use soil survey maps compared to other southern states. Younger farmers with higher ...