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    Comparison of Machine Learning and Empirical Methods for Data-Efficient Estimation of Reference Evapotranspiration in a Semiarid Region 

    Source: Journal of Irrigation and Drainage Engineering:;2026:;Volume ( 152 ):;issue: 003:;page 04026006-1
    Author(s): Pinarlik, Murat; Bostancioglu, Burak; Adeloye, Adebayo J.; Selek, Bulent
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate estimation of reference evapotranspiration (ET0) is critical for efficient irrigation planning and water resource management, particularly in semiarid regions where meteorological data are limited. This ...
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