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    Machine-Learning Models to Improve Accuracy of Real-Time Reference Evapotranspiration Estimates in an Arid Environment 

    Source: Journal of Irrigation and Drainage Engineering:;2022:;Volume ( 148 ):;issue: 011:;page 05022002
    Author(s): Javad Pirvali Beiranvand; Mahdi Ghamghami
    Publisher: ASCE
    Abstract: Studies of the estimation of reference evapotranspiration (ET0) in Iran are mostly related to areas with humid and semiarid climates and less related to arid areas. On the other hand, few studies in arid regions have ...
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