{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T18:06:18Z","timestamp":1768673178721,"version":"3.49.0"},"reference-count":54,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T00:00:00Z","timestamp":1588896000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003624","name":"Ministry of Agriculture, Food and Rural Affairs","doi-asserted-by":"publisher","award":["Export Strategy Technology Development Program"],"award-info":[{"award-number":["Export Strategy Technology Development Program"]}],"id":[{"id":"10.13039\/501100003624","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The feasibility of a color machine vision technique with the one-class classification method was investigated for the quality assessment of tomato seeds. The health of seeds is an important quality factor that affects their germination rate, which may be affected by seed contamination. Hence, segregation of healthy seeds from diseased and infected seeds, along with foreign materials and broken seeds, is important to improve the final yield. In this study, a custom-built machine vision system containing a color camera with a white light emitting diode (LED) light source was adopted for image acquisition. The one-class classification method was used to identify healthy seeds after extracting the features of the samples. A significant difference was observed between the features of healthy and infected seeds, and foreign materials, implying a certain threshold. The results indicated that tomato seeds can be classified with an accuracy exceeding 97%. The infected tomato seeds indicated a lower germination rate (&lt;10%) compared to healthy seeds, as confirmed by the organic growing media germination test. Thus, identification through image analysis and rapid measurement were observed as useful in discriminating between the quality of tomato seeds in real time.<\/jats:p>","DOI":"10.3390\/s20092690","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T12:26:30Z","timestamp":1589199990000},"page":"2690","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method"],"prefix":"10.3390","volume":"20","author":[{"given":"Jannat","family":"Yasmin","sequence":"first","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]},{"given":"Santosh","family":"Lohumi","sequence":"additional","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]},{"given":"Mohammed Raju","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]},{"given":"Lalit Mohan","family":"Kandpal","sequence":"additional","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]},{"given":"Mohammad Akbar","family":"Faqeerzada","sequence":"additional","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]},{"given":"Moon Sung","family":"Kim","sequence":"additional","affiliation":[{"name":"Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Powder Mill Rd. Bldg. 303, BARC-East, Beltsville, MD 20705, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8397-9853","authenticated-orcid":false,"given":"Byoung-Kwan","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Biosystems Machinery Engineering, College of Agricultural and Life Science, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 341\u201334, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,8]]},"reference":[{"key":"ref_1","unstructured":"Garming, H. (2020, January 07). Tomatoes Are the Superlative Vegetable: Global Per Capita Consumption Is 20 Kilograms Per Year. Available online: http:\/\/www.agribenchmark.org\/agri-benchmark\/did-you-know\/einzelansicht\/artikel\/\/tomatoes-are.html."},{"key":"ref_2","unstructured":"Fahs, B. (2019, June 14). How Much Will One Acre of Tomato Plants Yield?. 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