Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed

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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Bibliographic Details
Main Authors: Krzysztof Przybył, Jolanta Wawrzyniak, Krzysztof Koszela, Franciszek Adamski, Marzena Gawrysiak-Witulska
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
rapeseed storage
mould
image analysis
convolutional neural networks
machine learning
Online Access:https://www.mdpi.com/1424-8220/20/24/7305

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