Automated Hyperspectral Apple Variety Identification Based on Patch-wise Classification

Abstract

Manual apple sorting is costly and subjective. We investigate using VNIR hyperspectral imaging for an efficient and objective solution. Our study presents a patch-wise classification approach for automatic recognition of apple varieties using their hyperspectral signature.