A Stacking-Fusion Feature Selection Framework for Cross-Year and Cross-Cultivar Leaf Hyperspectral Rice Yield Estimation
Single-criterion feature selection for hyperspectral crop yield estimation suffers from methodological bias and limited generalisation. This study proposes a stacking-fusion feature selection framework with a ridge-regression meta-learner (STACKING_FUSION) that transfers the stacked-generalisation concept to the featur...