Showing 1 - 10 of 163
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...
Persistent link: https://www.econbiz.de/10008922545
Social Security taxes are a major and growing expense of operating a farm business. Self-employed farmers and family farm workers have some flexibility in managing cash income subject to Social Security. A basic understanding of Social Security benefits as well as costs is required to make a...
Persistent link: https://www.econbiz.de/10009653739
Persistent link: https://www.econbiz.de/10014341897
Personal digital assistants (PDA) and handheld global positioning systems (GPS) have become increasingly important in cotton production but little is known about their use. This research analyzed the adoption of PDA/handheld GPS devices in cotton production. A younger farmer who used a computer...
Persistent link: https://www.econbiz.de/10008530505
Persistent link: https://www.econbiz.de/10010932258
Persistent link: https://www.econbiz.de/10010937517
Producers lack information about the profitability of variable rate technology (VRT) for agricultural sprayers. An economic framework was developed to evaluate the returns required to pay for VRT investments. Payback variables included input savings, yield gains, and reduced application costs....
Persistent link: https://www.econbiz.de/10005459771
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...
Persistent link: https://www.econbiz.de/10009201406
Revised version of the paper submitted 2/11/2010
Persistent link: https://www.econbiz.de/10008922449
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...
Persistent link: https://www.econbiz.de/10008922590