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Zoekresultaten - 2 results
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
World Aerobiology Conference 2024, University of Vilnius, Vilnius, Lithuania (2024) Keywords: fungal spores Abstract: The presence of bioaerosols, including fungal spores, is a major concern for human and ...
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
conditions. In the past two decades, beekeepers that manage colonies of Western honey bees () have become increasingly concerned by the presence of parasites and pathogens affecting the bees, the reduction in ...