Air Quality Monitoring and Forecasting Using IoT and ML: A Survey on Methodologies and Challenges

Registration ID: IJNRD_197546

Published ID: IJNRD2306151

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Samartha S, Prateek M Gummaraju, Ruchi Agarwal, Pallavi B

Air pollution, AQI, IoT, Arduino, Machine Learning, AutoRegression, ARMA, ARIMA, Sensors

Air pollution is the presence of compounds in the atmosphere that are hazardous to human beings and the health of other living organisms, or that can impair climate and materials. Chemical compounds such as carbon monoxide, ozone, nitrogen dioxide etc., are common air pollutants and they lower the quality of air. Air Quality Index (AQI) is a measure of the level of air pollution. Due to the rising levels of air pollution, there is a great need to implement effective air quality monitoring systems that gather data on the concentration of various air pollutants and provide not only the current assessments of the level of pollution, but also predict the level of pollution in the near future. This paper aims to discuss the current state of applicability and advancements in the implementation of various IoT based architectures for monitoring the levels of air pollution. We will examine the various machine learning and deep learning models that have been used to forecast AQI levels. Additionally, this paper will delve into the challenges and limitations faced during the implementation of IoT and ML for monitoring and predicting AQI. Overall, this survey paper aims to provide a comprehensive overview of the current state of IoT and Machine Learning implementation for measuring and forecasting AQI values.

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Samartha S, Prateek M Gummaraju, Ruchi Agarwal, & Pallavi B (June-2023). Air Quality Monitoring and Forecasting Using IoT and ML: A Survey on Methodologies and Challenges. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), b450-b455. https://ijnrd.org/papers/IJNRD2306151.pdf

Volume 8 Issue 6, June-2023

Pages : b450-b455

Paper Reg. ID: IJNRD_197546

Published Paper Id: IJNRD2306151

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306151.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306151

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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