Author(s):
Aayush K., Vishal D., Hammad N., Manu K. S.
Email(s):
manu.ks@christuniversity.in
DOI:
10.5958/2321-5763.2020.00044.X 
Address:
Aayush K.1, Vishal D.1, Hammad N.1, Dr. Manu K. S.2
1Student, Department of Management Studies, Christ (Deemed to be University), Bangalore.
2Assistant Professor, Department of Management Studies, Christ (Deemed to be University), Bangalore.
*Corresponding Author
Published In:
Volume - 11,
Issue - 3,
Year - 2020
ABSTRACT:
Air pollution is the dissemination of toxic chemicals and compounds in the air, detrimental to the human well-being and the ecology. Though the general perception is that pollution is proportionate to human activities but we largely overlook the natural resources such as fossil fuels combustion. Oblivious of our own actions, Artificial Intelligence (AI) has become a decisive enabler to better administer the impact of climate change and protect the environment. The term was coined in 1956 by John McCarthy and is now an adept field in terms of providing efficiency and control over all prevalent things. This paper focuses on the air quality in the Indian demographic perimeter and how AI tools have been a key moderator of the same. An extensive study on a case study has also been carried further in the direction. The data used in our study has come from kaggle, aiq.in and Central Pollution Control Board (CPCB). Further discussion and case study reasoning has been spotlighted to minimizing air pollutants by appropriate tools, maintenance methods, limiting the scope of pollutant sources and machine learning.
Cite this article:
Aayush K., Vishal D., Hammad N., Manu K. S. Application of Artificial Intelligence in Curbing Air Pollution: The Case of India. Asian Journal of Management. 2020;11(3):285-290. doi: 10.5958/2321-5763.2020.00044.X
Cite(Electronic):
Aayush K., Vishal D., Hammad N., Manu K. S. Application of Artificial Intelligence in Curbing Air Pollution: The Case of India. Asian Journal of Management. 2020;11(3):285-290. doi: 10.5958/2321-5763.2020.00044.X Available on: https://ajmjournal.com/AbstractView.aspx?PID=2020-11-3-10
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