Risk management strategies using potato precision farming technology
| dc.creator | Liu, Yangxuan | |
| dc.creator | Langemeier, Michael | |
| dc.creator | Small, Ian | |
| dc.creator | Joseph, Laura | |
| dc.creator | Fry, William | |
| dc.date | 2017-04-01T19:37:07Z | |
| dc.date.accessioned | 2026-07-09T09:17:08Z | |
| dc.description | Stochastic dominance, stochastic dominance with respect to a function, and stochastic efficiency with respect to a function are used to compare late blight management strategies between a calendar spray schedule and a spray schedule recommended by Potato/Tomato Late Blight Decision Support System (DSS). Results show that the DSS recommended spray schedule is a more effective management strategy for controlling late blight in terms of disease control, net income over fungicide cost, and risk-adjusted net income. The value added by DSS ranges from $30 to $544 per acre. Our research contributes to the literature by providing a method to evaluate the economic benefits of adopting DSS. | |
| dc.identifier | doi:10.22004/ag.econ.205417 | |
| dc.identifier | https://ageconsearch.umn.edu/record/205417/files/AAEA%202015_Liu%20et%20al.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/205417 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/607491 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/205417 | |
| dc.title | Risk management strategies using potato precision farming technology | |
| dc.type | Text |