A Laboratory Evaluation of the New Automated Pollen Sensor Beenose: Pollen Discrimination Using Machine Learning Techniques

The monitoring of airborne pollen has received much attention over the last decade, as the prevalence of pollen-induced allergies is constantly increasing. Today, the most common technique to identify airborne pollen species and to monitor their concentrations is based on manual analysis. Here, we p...

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Detalles Bibliográficos
Autores principales: El Azari, Houssam, Renard, Jean-Baptiste, Lauthier, Johann, Dudok de Wit, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057867/
https://www.ncbi.nlm.nih.gov/pubmed/36991674
http://dx.doi.org/10.3390/s23062964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057867/
https://www.ncbi.nlm.nih.gov/pubmed/36991674
http://dx.doi.org/10.3390/s23062964

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