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Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method

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, segreg...

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Detalles Bibliográficos
Publicado en:Sensors (Basel)
Main Authors: Yasmin, Jannat, Lohumi, Santosh, Ahmed, Mohammed Raju, Kandpal, Lalit Mohan, Faqeerzada, Mohammad Akbar, Kim, Moon Sung, Cho, Byoung-Kwan
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7248835/
https://ncbi.nlm.nih.gov/pubmed/32397311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20092690
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