Hyperspectral Image-Based Fruit Ripeness Prediction

Fruit ripeness prediction (FRP) is a classification-based agricultural computer vision task that aims to determine the maturity level of fruits from images. The objective is to assess the degree of ripeness by identifying and distinguishing between various stages (e.g., unripe, ripe, and overripe).