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Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
monitoring methods for fungal spores rely on limited training data, hindering broader applicability. This study, which was conducted in the frame of the SYLVA project (GA no. 101086109) and the COST Action ...