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...
Main Authors: | Krzysztof Przybył, Jolanta Wawrzyniak, Krzysztof Koszela, Franciszek Adamski, Marzena Gawrysiak-Witulska |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/24/7305 |
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