{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T07:45:27Z","timestamp":1780472727243,"version":"3.54.1"},"reference-count":38,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T00:00:00Z","timestamp":1654732800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET)","award":["421031-04"],"award-info":[{"award-number":["421031-04"]}]},{"name":"MAFRA","award":["421031-04"],"award-info":[{"award-number":["421031-04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>It is necessary to convert to automation in a tomato hydroponic greenhouse because of the aging of farmers, the reduction in agricultural workers as a proportion of the population, COVID-19, and so on. In particular, agricultural robots are attractive as one of the ways for automation conversion in a hydroponic greenhouse. However, to develop agricultural robots, crop monitoring techniques will be necessary. In this study, therefore, we aimed to develop a maturity classification model for tomatoes using both support vector classifier (SVC) and snapshot-type hyperspectral imaging (VIS: 460\u2013600 nm (16 bands) and Red-NIR: 600\u2013860 nm (15 bands)). The spectral data, a total of 258 tomatoes harvested in January and February 2022, was obtained from the tomatoes\u2019 surfaces. Spectral data that has a relationship with the maturity stages of tomatoes was selected by correlation analysis. In addition, the four different spectral data were prepared, such as VIS data (16 bands), Red-NIR data (15 bands), combination data of VIS and Red-NIR (31 bands), and selected spectral data (6 bands). These data were trained by SVC, respectively, and we evaluated the performance of trained classification models. As a result, the SVC based on VIS data achieved a classification accuracy of 79% and an F1-score of 88% to classify the tomato maturity into six stages (Green, Breaker, Turning, Pink, Light-red, and Red). In addition, the developed model was tested in a hydroponic greenhouse and was able to classify the maturity stages with a classification accuracy of 75% and an F1-score of 86%.<\/jats:p>","DOI":"10.3390\/s22124378","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T02:01:44Z","timestamp":1655085704000},"page":"4378","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7276-5617","authenticated-orcid":false,"given":"Byeong-Hyo","family":"Cho","sequence":"first","affiliation":[{"name":"Department of Agricultural Engineering, National Institute of Agricultural Sciences, Jeonju 54875, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong-Hyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, National Institute of Agricultural Sciences, Jeonju 54875, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7251-0953","authenticated-orcid":false,"given":"Ki-Beom","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, National Institute of Agricultural Sciences, Jeonju 54875, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young-Ki","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, National Institute of Agricultural Sciences, Jeonju 54875, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6699-881X","authenticated-orcid":false,"given":"Kyoung-Chul","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, National Institute of Agricultural Sciences, Jeonju 54875, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,9]]},"reference":[{"key":"ref_1","unstructured":"(2022, February 14). 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