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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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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | 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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