UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2304A91


Registration ID:
513867

Page Number

k635-k641

Share This Article


Jetir RMS

Title

PREDICTION AND ANALYZING AIR QUALITY OF SHIROLI MIDC USING MACHINE LEARNING

Abstract

As cities grow both financially and technologically, pollution problems such as noise,water and air pollution become more prevalent. Particularly poor air quality has an effect on people's health. Fossil energy usage, rapidly expanding industrialisation, automobile exhaust, etc. are the main sources of air pollution. Waste generation represents one of the most significant contributors to air pollution. Carbon Monoxide, nitrogen Dioxide (No2) and Sulfur Dioxide (So2) are the major components of pollution of air. Various air quality surveillance devices keep an eye on various pollutants. Because the amount of contaminants in the air changes throughout the day, forecasting the air quality is challenging. Various Machine learning algorithms can be used to solve this issue. With the help of machine learning (ML) techniques and IoT sensors are installed at different stations of Shiroli located in Maharashtra Industrial Development Corporation District Kolhapur, Maharashtra. Data is collected hourly and preprocessed. The data obtained by industrial area are preprocessed and relevant features are extracted using different ML algorithm. Results of the algorithms are compared and performance is evaluated with different measures like R, R2 MAE, RMSE, etc.

Key Words

machine learning, IoT Sensors, Air Pollution, AQI

Cite This Article

"PREDICTION AND ANALYZING AIR QUALITY OF SHIROLI MIDC USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k635-k641, April-2023, Available :http://www.jetir.org/papers/JETIR2304A91.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PREDICTION AND ANALYZING AIR QUALITY OF SHIROLI MIDC USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk635-k641, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A91.pdf

Publication Details

Published Paper ID: JETIR2304A91
Registration ID: 513867
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: k635-k641
Country: kolhapur, MAHARASHTRA, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000191

Print This Page

Current Call For Paper

Jetir RMS