Variable-Rate Application on Fertilizer Use in Cotton Production
Thompson, N.M, J. A. Larson, M. Velandia, D. M. Lambert, and B. C. English.  2018.  Journal of Agricultural Science, 10, 10: 40-52.

Abstract:
Using data from a survey of cotton producers in 14 U.S. states, and a bivariate probit regression, this study examined the effects of the following measured parameters on the adoption of Automatic Section Control (ASC) technologies and GPS Auto-Guidance (AG) systems: age, education, farm size, field geometry, information sources, as well as the use of specific production practices and other Precision Agriculture technologies. Results suggest that younger, more educated producers, consulting farm dealers for information about Precision Agriculture technologies, using other Precision Agriculture technologies, and managing larger farming operations located in counties with more irregularly shaped fields are more likely to adopt ASC technologies and AG systems.