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 images and segments of strawberries in the wild, their quality measurements, and climate data during cultivation.

本研究中，我们验证了一项假设：通过消费级硬件可采集的田间数据，能够在预测草莓品质属性时达到可接受的准确率。本数据集包含野外草莓的图像及其分割片段、草莓品质检测数据以及栽培过程中的气候数据。