Accurate estimation of reference evapotranspiration (ET 0 ) and crop coefficients (K c ) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET 0 and K c estimation, most studies address these parameters separately or focus on a single seasonal K c value rather than stage‐specific coeffic...