TY  - CPAPER 
AB  - We analyzed data obtained from the 2009 Southern Cotton Precision Farming
Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana,
Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of precision farming technologies. Farmers provided cost, time constraint, satisfaction with the current practice
and other as reasons for not adopting precision farming technology. Profit, environmental benefit and to be at the forefront of agricultural technology are main reasons
for adopting precision farming technology. Results from a nested logit model indicated that formal education, farm size, and number of precision farming meeting
attend by farmers have positive effect on adoption of PF technologies. Moreover,
spatial yield variability increases probability of adopting precision farming technologies for profit reasons.
AU  - Pandit, Mahesh
AU  - Paudel, Krishna P.
AU  - Mishra, Ashok K.
AU  - Segarra, Eduardo
DA  - 2012
DA  - 2012
DO  - 10.22004/ag.econ.125004
DO  - doi
ID  - 125004
KW  - Crop Production/Industries
KW  - Farm Management
KW  - Research and Development/Tech Change/Emerging Technologies
KW  - adoption and nonadoption of technology
KW  - cotton
KW  - nested logit
KW  - precision farming
L1  - https://ageconsearch.umn.edu/record/125004/files/nested_main%20_1_.pdf
L2  - https://ageconsearch.umn.edu/record/125004/files/nested_main%20_1_.pdf
L4  - https://ageconsearch.umn.edu/record/125004/files/nested_main%20_1_.pdf
LA  - eng
LA  - English
LK  - https://ageconsearch.umn.edu/record/125004/files/nested_main%20_1_.pdf
N2  - We analyzed data obtained from the 2009 Southern Cotton Precision Farming
Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana,
Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of precision farming technologies. Farmers provided cost, time constraint, satisfaction with the current practice
and other as reasons for not adopting precision farming technology. Profit, environmental benefit and to be at the forefront of agricultural technology are main reasons
for adopting precision farming technology. Results from a nested logit model indicated that formal education, farm size, and number of precision farming meeting
attend by farmers have positive effect on adoption of PF technologies. Moreover,
spatial yield variability increases probability of adopting precision farming technologies for profit reasons.
PY  - 2012
PY  - 2012
T1  - Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers
TI  - Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers
UR  - https://ageconsearch.umn.edu/record/125004/files/nested_main%20_1_.pdf
Y1  - 2012
ER  -