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Deep Learning Methods for Improving Pollen Monitoring

The risk of pollen-induced allergies can be determined and predicted based on data derived from pollen monitoring. Hirst-type samplers are sensors that allow airborne pollen grains to be detected and their number to be determined. Airborne pollen grains are deposited on adhesive-coated tape, and sli...

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Detalles Bibliográficos
Autores principales:	Kubera, Elżbieta, Kubik-Komar, Agnieszka, Piotrowska-Weryszko, Krystyna, Skrzypiec, Magdalena
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159113/ https://www.ncbi.nlm.nih.gov/pubmed/34069411 http://dx.doi.org/10.3390/s21103526

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