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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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Detalles Bibliográficos
Autores principales:	Przybył, Krzysztof, Wawrzyniak, Jolanta, Koszela, Krzysztof, Adamski, Franciszek, Gawrysiak-Witulska, Marzena
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Letter
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

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