technologies adopted by cotton farmers. Particular attention is given to the influence of spatial yield variability on the number …

data from a survey of 1,205 U.S. cotton, corn, and soybean growers, count data models were estimated to explain the total … adoption. Growers practicing a greater number of BMPs frequently (a) had more education, but less farming experience; (b) grew … cotton, (c) expected higher yields relative to the county average; and (d) farmed in counties with a lower coefficient of …

Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming …

Precision Farming by Cotton Producers in Six Southern States: Results from the 2001 Southern Precision Farming Survey …

Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision …

A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of … based VDTs are more likely to adopt VRT. The probability of adoption of VRTs was lower for Texas cotton farmers irrespective …

We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelve states (Alabama …. Results from a nested logit model indicated that formal education, farm size, and number of precision farming meeting attend …

We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton …

This paper assessed cotton production and land use change (CPLC) and resource competition along the Aksu-Tarim River … resource allocation for sustainable cotton production; minimize resource competition and conflict in the arid region. The … results revealed a relative variation in comparative advantages (CA) in cotton production among upstream and downstream farms …

(GE) seeds have been widely adopted by U.S. corn, soybean, and cotton farmers. Still, some questions persist regarding the …