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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767128/ https://www.ncbi.nlm.nih.gov/pubmed/33352649 http://dx.doi.org/10.3390/s20247305 |