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Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed
This paper endeavors to evaluate rapeseed samples obtained in the process of storage experiments with different humidity (12% and 16% seed moisture content) and temperature conditions (25 and 30 °C). The samples were characterized by different levels of contamination with filamentous fungi. In order...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7767128/ https://ncbi.nlm.nih.gov/pubmed/33352649 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247305 |
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