Journal article Open Access

Air Pollution Monitoring and Prediction System for Sustainable Metropolitan Cities using Iot

Nagaraja G S; Shreyas Srinath; Reshma Jakabal

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)

In today’s world, the temperature of the environment is gradually rising. One of the main reasons for it is decreasing the quality of air mainly caused due to air pollution. There are many harmful substances present in the environment that is the cause of the declining quality of air. These pollutants get mixed along with the air and pollute the environment. The two air pollutants are considered here, CO2 and NO, to reduce air pollution, there is a need to know the number of pollutants, with the help of sensors in this experiment the level of pollutants are to be monitored and based on that a prediction mechanism is developed to determine the level of pollutants in the future. There are some machine learning concepts involved, K means clustering for classification of pollutants along with the S.V.M. (Support Vector Machine). With the successful prediction of the level of pollutants, the necessary counter measures can be adaopted.

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