Regulating Irrigation Water Supply in Arid Agricultural Basins Using a Computational Machine-Learning Framework for Forecasting Vapor Pressure DeficitSource: Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006::page 04025033-1Author:Alsumaiei, Abdullah A.
DOI: 10.1061/JIDEDH.IRENG-10541Publisher: American Society of Civil Engineers
Abstract: AbstractAccurate forecasts of vapor pressure deficit (VPD) are essential for irrigation water
management, especially for water-scarce nations, because they enable precise estimation
of crop water demand and support the optimization of irrigation schedules ...
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| contributor author | Alsumaiei, Abdullah A. | |
| date accessioned | 2026-08-20T11:09:11Z | |
| date available | 2026-08-20T11:09:11Z | |
| date copyright | 2025/08/18 | |
| date issued | 2025 | |
| identifier other | JIDEDH.IRENG-10541.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311764 | |
| description abstract | AbstractAccurate forecasts of vapor pressure deficit (VPD) are essential for irrigation water management, especially for water-scarce nations, because they enable precise estimation of crop water demand and support the optimization of irrigation schedules ... | |
| publisher | American Society of Civil Engineers | |
| title | Regulating Irrigation Water Supply in Arid Agricultural Basins Using a Computational Machine-Learning Framework for Forecasting Vapor Pressure Deficit | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 6 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/JIDEDH.IRENG-10541 | |
| journal fristpage | 04025033-1 | |
| journal lastpage | 04025033-13 | |
| page | 13 | |
| tree | Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006 | |
| contenttype | Fulltext |