Te Ma

Portable Vis/NIR Spectroscopy Combined with Optimized SVM for Grade Classification of Apple Watercore

To achieve rapid and non-destructive detection of watercore in apples, the apple Vis–NIR spectral data were used as the research object in this study. A total of 256 × 2 wavelength-based spectral features were extracted, followed by dimensionality reduction via PCA. Subsequently, four machine learning classification mo...