UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404895


Registration ID:
537661

Page Number

i706-i710

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Title

“Air ,Water Pollution Sensing Smart Monitoring System”

Abstract

The rapid urbanization and industrialization have led to severe environmental challenges, notably air and water pollution, threatening human health and ecological balance. In response, this project proposes the design and implementation of an innovative Air and Water Pollution Sensing Smart Monitoring System (AWPSMS). The present manuscript aims to accomplish a critical review of noteworthy contributions and research studies on SEM, that involve monitoring of air quality, water quality and agriculture systems. We designed a system to detect and monitor pollutants in air and water ecosystems accurately. Utilizing a network of strategically placed sensors, the system collects real-time data on various contaminants, including particulate matter, volatile organic compounds in the air, and significant water quality parameters such as turbidity. The system is equipped with a user-friendly interface that provides instant access to pollution readings, historical data, and trend analysis, enabling stakeholders to make informed decisions. Moreover, the system's IoT integration allows for seamless connectivity and remote access, ensuring that environmental agencies, researchers, and the public stay updated with the latest environmental conditions. The core of the system lies in its smart monitoring capabilities, which employ advanced algorithms and machine learning techniques to analyze the data, identify pollution patterns, and predict potential hazardous events. Finally, the framework of robust methods of machine learning; denoising methods and development of suitable standards for wireless sensor networks (WSNs), has been suggest. Through its comprehensive approach, this project aims to contribute to the creation of cleaner and healthier urban environments, fostering sustainability and improving quality of life for present and future generations.

Key Words

Air pollution, Water pollution, SEM, IoT, Sensors, Machine learning, Smart city

Cite This Article

"“Air ,Water Pollution Sensing Smart Monitoring System”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i706-i710, April-2024, Available :http://www.jetir.org/papers/JETIR2404895.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

"“Air ,Water Pollution Sensing Smart Monitoring System”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi706-i710, April-2024, Available at : http://www.jetir.org/papers/JETIR2404895.pdf

Publication Details

Published Paper ID: JETIR2404895
Registration ID: 537661
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: i706-i710
Country: Thane, Maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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