Résultats de la recherche - 3 results
Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creationAbstract
volumetric monitoring, there’s a growing interest in automated real-time methods. However, these methods rely heavily on machine learning, facing challenges due to diverse particle characteristics and limited ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
automated real-time methods. However, these methods rely heavily on machine learning, facing challenges due to diverse particle characteristics and limited training data availability, especially for fungal ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
composition presents challenges, among which the availability of well-curated datasets for training algorithms. While collecting reference material for pollen is relatively straightforward, current automatic ...