Precision agriculture has the capability to reduce excess nitrogen (N) from crop production being released into the environment. This research evaluates the profitability and N use efficiency of utilizing real-time optical sensing with variable-rate technologies (VRT) to manage spatial...

Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...

Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is...

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...

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’...

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...

Beef cattle production is responsible for approximately 2.2% of total US GHG production. In some agroecosystems, afforestation has the potential to sequester more carbon than other pasture and rangeland management practices. This research examines the factors, including an incentive, influencing...

Information about soil nutrient carryover dynamics can assist cotton producers with the optimal management of potassium (K) fertilizer. Optimal K management promotes cotton plant health, may decrease input costs, and increases cotton lint yields. A dynamic programming model was developed to...

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...