Using machine learning to estimate atmospheric 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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-03-01
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| Series: | Environmental Health Insights |
| Online Access: | https://doi.org/10.1177/1178630217699399 |