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 role of spatial yield variability on the number of precision farming technologies adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for manag...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...
This paper examines whether adoption of precision technologies, farm and farmer characteristics infl...
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...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
This paper examines how cotton farmers' perceptions about their spatial yield variability influence ...
The data intensive nature of precision farming necessitates the use of different technologies to col...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelv...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study ...
A nested logit model was applied to the 2009 Southern Cotton Precision Farming Survey to study the i...
This study evaluated how farmers' perceptions of spatial yield variability are influenced by precisi...
We used survey data collected from cotton producers in eleven U.S. states to address the issues of c...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yield monitors...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...
This paper examines whether adoption of precision technologies, farm and farmer characteristics infl...
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...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
This paper examines how cotton farmers' perceptions about their spatial yield variability influence ...
The data intensive nature of precision farming necessitates the use of different technologies to col...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelv...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study ...
A nested logit model was applied to the 2009 Southern Cotton Precision Farming Survey to study the i...
This study evaluated how farmers' perceptions of spatial yield variability are influenced by precisi...
We used survey data collected from cotton producers in eleven U.S. states to address the issues of c...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yield monitors...
This research analyzes the adoption patterns among cotton farmers for remote sensing, yi...
This paper examines whether adoption of precision technologies, farm and farmer characteristics infl...
We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S....