| contributor author | Alsumaiei, Abdullah A. | |
| contributor author | Alrumaidhi, Mubarak | |
| date accessioned | 2026-08-20T11:09:40Z | |
| date available | 2026-08-20T11:09:40Z | |
| date copyright | 2025/12/09 | |
| date issued | 2026 | |
| identifier other | JIDEDH.IRENG-10619.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311775 | |
| description abstract | AbstractEfficient water management in irrigated watersheds requires the timely and precise
application of water to optimize crop yields and sustain resources. Although machine-learning
(ML) models have shown promise in capturing hydrological dynamics, ... | |
| publisher | American Society of Civil Engineers | |
| title | Enhancing Soil Water Prediction in Arid Climates Using Multipredictor Machine-Learning Models and SHAP-Based Interpretability | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/JIDEDH.IRENG-10619 | |
| journal fristpage | 04025049-1 | |
| journal lastpage | 04025049-17 | |
| page | 17 | |
| tree | Journal of Irrigation and Drainage Engineering:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |
