Design of IoT-based Air Quality Meter Module and Air Quality Analysis with Machine Learning

This study proposes an ARM based air quality module placed to public transport vehicles for analyzing the effect of PM2.5 and PM10 particles in cities real-time using Internet Things. The STM32 microcontroller is used obtaining data from PM, humidity, temperature sensors. collected sensors are sent i.MX6UL microprocessor RS-485 connected internet portal with Ethernet module. sends Microsoft Azure Hub in-on-line, it also recorded via computer. obtained analyzed quality-meteorological variables regression models implemented machine learning algorithms. PM2.5, PM10, humidity evaluated R2 test root mean square error models. Random Forest algorithm shows better results among other