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dc.contributor.authorAlsumaiei, Abdullah A.
dc.date.accessioned2026-08-20T11:09:11Z
dc.date.available2026-08-20T11:09:11Z
dc.date.copyright2025/08/18
dc.date.issued2025
dc.identifier.otherJIDEDH.IRENG-10541.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311764
dc.description.abstractAbstractAccurate 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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleRegulating Irrigation Water Supply in Arid Agricultural Basins Using a Computational Machine-Learning Framework for Forecasting Vapor Pressure Deficit
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue6
dc.journal.titleJournal of Irrigation and Drainage Engineering
dc.identifier.doi10.1061/JIDEDH.IRENG-10541
dc.journal.fristpage04025033-1
dc.journal.lastpage04025033-13
dc.page13
dc.treeJournal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006
dc.contenttypeFulltext


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