Precision Farming Technology Adoption in Cotton Farming: Duration Analysis
| dc.creator | Pandit, Mahesh | |
| dc.creator | Paudel, Krishna P. | |
| dc.creator | Mishra, Ashok K. | |
| dc.creator | Segarra, Eduardo | |
| dc.date | 2017-04-01T13:47:53Z | |
| dc.date.accessioned | 2026-07-09T05:35:05Z | |
| dc.description | We used survey data collected from cotton producers in eleven U.S. states to address the issues of correlated events and individual heterogeneity in multiple precision technologies adoption. Results from a conditional frailty model indicated that younger, better educated cotton producer adopted precision technology quickly once those technologies were available. Further, farm size and farm income have positive influence on a chance of technology adoption by the cotton farmers. Moreover, the conditional frailty model addresses for both heterogeneity and event dependence allowing different baseline hazards for each group of precision technology adopters. | |
| dc.identifier | doi:10.22004/ag.econ.103849 | |
| dc.identifier | https://ageconsearch.umn.edu/record/103849/files/aaea%20poster%202011%20duration%20_final%20poster.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/103849 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/565634 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/103849 | |
| dc.title | Precision Farming Technology Adoption in Cotton Farming: Duration Analysis | |
| dc.type | Text |