Given the potential economic and environmental benefits from some precision agriculture practices, dissemination of precision farming information as an alternative production management strategy is important. The needs of farmers for precision farming information have been met by various suppliers, including private and public sources. Factors affecting the use of different information sources to obtained precision farming information such as crop consultants, farm dealers, trade shows, Extension, and media are analyzed using a multivariate probit approach that accounts for simultaneous and/or correlation among the different information-source use decisions. Empirical findings suggest that the decision to use private, Extension, and/or Medi...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
Precision farming technologies have been commercially available since the early 1990s, but the pace ...
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors inf...
Given the potential economic and environmental benefits from some precision agriculture practices, d...
Precision farming information demanded by cotton producers is provided by various suppliers, includi...
The effectiveness of sources of information on adoption of precision farming technologies (PFT) by U...
Information generated by precision farming technologies is of particular importance to producers. Pr...
Precision farming entails production decisions that are made by obtaining data about soil and field ...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
Precision farming technologies have been commercially available since the early 1990s, but the pace ...
This study examines the relationship between precision farming information sources and precision far...
Cotton farmers in Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Missouri, North and S...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
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...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
Precision farming technologies have been commercially available since the early 1990s, but the pace ...
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors inf...
Given the potential economic and environmental benefits from some precision agriculture practices, d...
Precision farming information demanded by cotton producers is provided by various suppliers, includi...
The effectiveness of sources of information on adoption of precision farming technologies (PFT) by U...
Information generated by precision farming technologies is of particular importance to producers. Pr...
Precision farming entails production decisions that are made by obtaining data about soil and field ...
Probit analysis identified factors that influence the adoption of precision farming technologies by ...
Precision farming technologies have been commercially available since the early 1990s, but the pace ...
This study examines the relationship between precision farming information sources and precision far...
Cotton farmers in Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Missouri, North and S...
Probit analysis identified factors influencing adoption of precision farming technologies by Southea...
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...
Many studies on the adoption of precision technologies have generally used logit models to explain t...
Precision farming technologies have been commercially available since the early 1990s, but the pace ...
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors inf...