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2020 IEEE International Conference on Information Technologies

Intelligent System for Air Quality Monitoring Assessment using the Raspberry Pi Platform

Desislava Ivanova
Angel Elenkov
Department of Informatics, Technical University of Sofia

Intelligent systems based on IoT platform, Raspberry Pi with developed machine learning model to predict the values of various pollutants in the air using the data with three parameters: air temperature, humidity, and pressure are proposed in this paper. The experiments are conducted for different scenarios with respect to verification and validation of the proposed machine learning model for air quality monitoring and assessment.

Key words:
Raspberry Pi
Air Quality Monitoring Assessment