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
Autores principales: Yasmin, Jannat, Lohumi, Santosh, Ahmed, Mohammed Raju, Kandpal, Lalit Mohan, Faqeerzada, Mohammad Akbar, Kim, Moon Sung, Cho, Byoung-Kwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248835/
https://www.ncbi.nlm.nih.gov/pubmed/32397311
http://dx.doi.org/10.3390/s20092690

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248835/
https://www.ncbi.nlm.nih.gov/pubmed/32397311
http://dx.doi.org/10.3390/s20092690

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