TY - DATA T1 - Data underlying the research of Quality prediction of strawberries with RGB image segments PY - 2023/03/14 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 - https://data.4tu.nl/articles/dataset/Data_underlying_the_research_of_Quality_prediction_of_strawberries_with_RGB_image_segments/21864590/1 DO - 10.4121/21864590.v1 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 -
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.
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