Single Seed Identification in Three Medicago Species via Multispectral Imaging Combined with Stacking Ensemble Learning
Multispectral imaging (MSI) has become a new fast and non-destructive detection method D+K2 in seed identification.Previous research has usually focused on single models in MSI data analysis, which always employed all features and increased the risk to efficiency and that of system cost.In this study, we developed a stacking ensemble learning (SEL)