This paper examines whether adoption of precision technologies, farm and farmer characteristics influence perceived improvements in cotton quality. Using data from cotton producers in twelve U.S. Southeastern states and discrete choice models, we find that the use of soil sampling, maps, participating in agricultural easement programs, farm size, university publications, and expected profitability of precision agriculture are positively associated with the probability that farmers experienced improved cotton quality. This implies that farmers should also consider the potential cotton quality benefits from these technologies, in addition to potential yield and environmental improvements, when deciding whether or not to adopt precision techno...
This study identified the factors that influenced whether farmers in the Southeastern United States ...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelv...
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors inf...
This paper examines how cotton farmers' perceptions about their spatial yield variability influence ...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S....
Many studies on the adoption of precision technologies have generally used logit models to explain t...
The data intensive nature of precision farming necessitates the use of different technologies to col...
We used survey data collected from cotton producers in eleven U.S. states to address the issues of c...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
Adoption of precision agriculture technology has arrived considerable attention, but abandonment has...
The effectiveness of sources of information on adoption of precision farming technologies (PFT) by U...
This article examines what differentiates "socially responsible" farmers (i.e., those who rank envir...
This study identified the factors that influenced whether farmers in the Southeastern United States ...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelv...
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors inf...
This paper examines how cotton farmers' perceptions about their spatial yield variability influence ...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S....
Many studies on the adoption of precision technologies have generally used logit models to explain t...
The data intensive nature of precision farming necessitates the use of different technologies to col...
We used survey data collected from cotton producers in eleven U.S. states to address the issues of c...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
Adoption of precision agriculture technology has arrived considerable attention, but abandonment has...
The effectiveness of sources of information on adoption of precision farming technologies (PFT) by U...
This article examines what differentiates "socially responsible" farmers (i.e., those who rank envir...
This study identified the factors that influenced whether farmers in the Southeastern United States ...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...