Internet of things based air pollution monitoring and forecasting system

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Abstract

The quality of air plays a predominant role in human health and has greater influence on life expectancy. In our project, five different gas sensors are used to evaluate the quality of air. The quality of air is classified into good, moderate, unhealthy, and hazardous. For instance, this work has been conducted in Coimbatore (smart city). The presence of harmful gases determines the nature of the air and this classification can be monitored periodically by measuring the amount of SO2 and NO2, which acts as a vital parameter. These measured and classified data can be transferred to public access and decision can be taken, so that we have developed an open access website to store and display the values of classified air quality. This information to the people can be used to improve quality of life by improving the quality of air.

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Gokul, P., Srikanth, J., Inbarasu, G., Subramaniyam, K., & Prasanna Venkatesan, G. K. D. (2020). Internet of things based air pollution monitoring and forecasting system. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 39, pp. 439–451). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-34515-0_46

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