TY - DATA
T1 - Data underlying the research of Quality prediction of strawberries with RGB image segments
PY - 2023/07/14
AU - Junhan Wen
AU - Mathijs de Weerdt
AU - Thomas Abeel
AU - Camiel Verschoor
AU - LIsanne Schuddebeurs
AU - Klaas Walraven
AU - Stijn Jochems
AU - Vera Theelen
UR - 
DO - 10.4121/21864590.v2
KW - Non-destructive analysis
KW - Machine Learning approach
KW - computer vision technique
KW - Soft fruit
KW - crop management
KW - Machine Learning as a Service
KW - Artificial Intelligence  and image processing
KW - climate computer data
KW - plant load
KW - fruit quality attributes
N2 - <p>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.</p>
ER -