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Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creationAbstract
training data availability, especially for fungal spores. This study aims to address this gap by outlining best practices for collecting reference material and creating tailored datasets for training ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
spores. This study aims to address this gap by outlining best practices for collecting reference material and creating tailored datasets for training algorithms. Using 17 fungal species from the Belgian ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
ADOPT (CA18226), aims to address this gap by outlining best practices for collecting reference material from controlled cultivation and creating datasets specifically tailored for training algorithms to ...