This article examines what differentiates "socially responsible" farmers (i.e., those who rank environmental benefits higher than profit, based on a Likert style ranking) from farmers who make decisions based solely on financial criteria. A proportional odds model (POM) is proposed to estimate...

Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information sources to search for precision farming...

Acknowledgements: The authors thank Cotton Incorporated and the Tennessee Agricultural Experiment Station for financial support

We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers’ decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision...

Replaced with revised version of paper 02/16/11.

Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey

Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’...

This study analyzes factors influencing farmer interest in marketing switchgrass through contracts and/or joining a cooperative that harvests, transports, stores, and markets their switchgrass. Data are from a survey of farmers in 12 southern states. A bivariate probit analysis is used to...