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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
This study evaluated the potential impacts of dry matter losses from alternative harvest and storage methods on the costs of growing switchgrass for energy production. Data from a switchgrass bale harvest and storage experiment at Milan, TN, indicate that storage losses for covered rectangular...
Persistent link: https://www.econbiz.de/10008922514
We estimate a bivariate probit model with sample selection to identify factors affecting adoption and abandonment of precision farming technologies for cotton farmers, using the 2009 Southern Cotton Precision Farming Survey conducted in 12 Southern states in the United States. Farmers for whom...
Persistent link: https://www.econbiz.de/10008922684
This paper evaluated differences between yields of no-tillage compared to conventional or reduced tillage and their associated downside risk. Six crops were evaluated along with how those yields and risks differed by various environmental factors such geographic location, precipitation, soil...
Persistent link: https://www.econbiz.de/10008922691
This poster estimates dry matter losses as a function of harvest method, storage treatment, and time in storage. We then calculate the cost to store switchgrass bales under alternate harvest method and storage treatment scenarios; and determine the breakeven harvest method and storage treatment...
Persistent link: https://www.econbiz.de/10009020473
Persistent link: https://www.econbiz.de/10009020818
Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’...
Persistent link: https://www.econbiz.de/10009021469
Beef cattle production is responsible for approximately 2.2% of total US GHG production. In some agroecosystems, afforestation has the potential to sequester more carbon than other pasture and rangeland management practices. This research examines the factors, including an incentive, influencing...
Persistent link: https://www.econbiz.de/10011068815
Persistent link: https://www.econbiz.de/10011069091