Hyperspectral Image Based Fruit Ripeness

Fruit maturity prediction based on hyperspectral imaging is a classification task in the field of agricultural computer vision, aiming to determine the degree of fruit maturity by analyzing hyperspectral image data. This task identifies and distinguishes different stages of maturity (such as unripe, ripe, and overripe), providing significant support for precision agriculture and food supply chain management. It helps improve quality control of agricultural products and enhance market competitiveness.