cff-version: 1.2.0
abstract: "<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>"
authors:
  - family-names: Wen
    given-names: Junhan
    orcid: "https://orcid.org/0009-0007-4295-2682"
  - family-names: de Weerdt
    given-names: Mathijs
    orcid: "https://orcid.org/0000-0002-0470-6241"
  - family-names: Abeel
    given-names: Thomas
  - family-names: Verschoor
    given-names: Camiel
  - family-names: Schuddebeurs
    given-names: LIsanne
  - family-names: Walraven
    given-names: Klaas
  - family-names: Jochems
    given-names: Stijn
  - family-names: Theelen
    given-names: Vera
title: "Data underlying the research of Quality prediction of strawberries with RGB image segments"
keywords:
version: 2
identifiers:
  - type: doi
    value: 10.4121/21864590.v2
license: CC BY-NC-ND 4.0
date-released: 2023-07-14