HYPERSPECTRAL IMAGING IN FRUIT QUALITY ASSESSMENT: SPECTRAL ANALYSIS, MACHINE LEARNING AND APPLICATIONS
Fruit quality assessment is important for maintaining postharvest quality, reducing losses and improving the efficiency of sorting and grading operations. Conventional destructive methods provide reliable measurements of physicochemical, chemical, mechanical and microbiological attributes, but generally require sample...