Data underlying the research of Quality prediction of strawberries with RGB image segments

In this research, we validate our hypothesis of using in-field data that are acquirable via commodity hardware to obtain acceptable accuracies in predicting the quality attribute of strawberries. This dataset consists of image segments of strawberries in the wild, their quality measurements, and climate data during cultivation.