Using machine learning to estimate atmospheric Ambrosia pollen concentrations in Tulsa, OK

This article describes an example of using machine learning to estimate the abundance of airborne Ambrosia pollen for Tulsa, OK. Twenty-seven years of historical pollen observations were used. These pollen observations were combined with machine learning and a very complete meteorological and land s...

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Detalles Bibliográficos
Autores principales: Liu, Xun, Wu, Daji, Zewdie, Gebreab K, Wijerante, Lakitha, Timms, Christopher I, Riley, Alexander, Levetin, Estelle, Lary, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392111/
https://www.ncbi.nlm.nih.gov/pubmed/28469446
http://dx.doi.org/10.1177/1178630217699399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392111/
https://www.ncbi.nlm.nih.gov/pubmed/28469446
http://dx.doi.org/10.1177/1178630217699399

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