This paper is published in Volume-9, Issue-2, 2023
Area
Machine Learning
Author
Patan Masthan Vali, D. P. Neeha Kousar, T. Sai Pranathi, K. Nandini, M. Saikanth, A. Ramesh Babu
Org/Univ
Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India
Pub. Date
03 April, 2023
Paper ID
V9I2-1158
Publisher
Keywords
Decision Tree, PM10, PM2.5, SO2, CO, NO2, O3, Air Pollution, Air Quality Index, Assistive Vector Technology, Regression using Logit, Forest of the chance tree, K-Nearest Neighbor, and Naive Bayes.

Citationsacebook

IEEE
Patan Masthan Vali, D. P. Neeha Kousar, T. Sai Pranathi, K. Nandini, M. Saikanth, A. Ramesh Babu. Detection and prediction of air pollution using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Patan Masthan Vali, D. P. Neeha Kousar, T. Sai Pranathi, K. Nandini, M. Saikanth, A. Ramesh Babu (2023). Detection and prediction of air pollution using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 9(2) www.IJARIIT.com.

MLA
Patan Masthan Vali, D. P. Neeha Kousar, T. Sai Pranathi, K. Nandini, M. Saikanth, A. Ramesh Babu. "Detection and prediction of air pollution using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 9.2 (2023). www.IJARIIT.com.

Abstract

The regulation of air pollutant levels is rapidly increasing and it's one of the most important tasks for the governments of developing countries, especially India. It is important that people know what the level of pollution in their surroundings is and takes a step towards fighting against it. The meteorological and traffic factors. burning of fossil fuels, industrial parameters such as powerplant emissions play significant roles in air pollution. Among all the particulate matter (PM) that determine the quality of the air. When its level is high in the air, it causes serious issues on people's health. Hence, controlling it by constantly keeping a check on its level in the air is important.