| contributor author | Das K., Saranya | |
| contributor author | Chithra, N. R. | |
| date accessioned | 2026-08-20T11:07:56Z | |
| date available | 2026-08-20T11:07:56Z | |
| date copyright | 2026/05/16 | |
| date issued | 2026 | |
| identifier other | JHYEFF.HEENG-6751.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311733 | |
| description abstract | AbstractEarly prediction of agricultural drought is critical for minimizing its adverse impacts.
Although numerous studies have addressed drought forecasting, limited attention has
been given to the uncertainty analysis of predictive models. This study ... | |
| publisher | American Society of Civil Engineers | |
| title | Performance Evaluation and Uncertainty Quantification of Deep Learning Models for Agricultural Drought Prediction | |
| type | Journal Article | |
| journal volume | 31 | |
| journal issue | 4 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/JHYEFF.HEENG-6751 | |
| journal fristpage | 04026013-1 | |
| journal lastpage | 04026013-13 | |
| page | 13 | |
| tree | Journal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 004 | |
| contenttype | Fulltext | |
