Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors

Applying machine learning for large scale field calibration of low‐cost PM2.5 and PM10 air pollution sensors

Abstract Low‐cost air quality monitoring networks can potentially increase the availability of high‐resolution monitoring to inform analytic and evidence‐informed approaches to better manage air quality. This is particularly relevant in low and middle‐income settings where access to traditional refe...

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Bibliographic Details
Main Authors: Priscilla Adong, Engineer Bainomugisha, Deo Okure, Richard Sserunjogi
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:Applied AI Letters
Subjects:
air pollution
field calibration
low‐cost sensors
machine learning applications
PM10
PM2.5
Online Access:https://doi.org/10.1002/ail2.76

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