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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title:	Advanced Air Quality Monitoring System Employing Neural Network and Blockchain Technology
Authors Name:	Mr.P.Venkanna , L.Sai Chandu , V.Bhargavi , N.Venkata Siva rao , P.Praveen kumar
Unique Id:	IJSDR2404156
Published In:	Volume 9 Issue 4, April-2024
Abstract:	Due to causes including industries, urbanisation, population growth, and vehicle use, which might have an adverse effect on human health, the level of pollution is rising quickly. Using an internet-based application, an IOT- based air pollution monitoring system is used to track air quality. Due to causes including industries, urbanisation, population growth, and vehicle use, which might have an adverse effect on human health, the level of pollution is rising quickly. An Internet of Things (IoT)-based air pollution monitoring system uses a web server to monitor air quality. The Internet of Things (IoT) links and manages data, while inexpensive sensors gather environmental data. Temperature, humidity, particulate matter, carbon dioxide, carbon mono oxide, and LPG make up the indoor air quality system. The NN decision-making algorithm uses input from five different sensors to estimate the AQI and avert dangerous scenarios. The proposed IoT-based smart block- chain solution contributes significantly by
Keywords:	Block chain, Air Quality index, Pollution monitor, Neural Network, Internet of things
Cite Article:	"Advanced Air Quality Monitoring System Employing Neural Network and Blockchain Technology", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1081 - 1089, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404156.pdf
Downloads:	000338174
Publication Details:	Published Paper ID: IJSDR2404156 Registration ID:210936 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 1081 - 1089 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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