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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | AIR QUALITY MONITORING SYSTEM |
| Authors Name: | Ritika Lala , Kalamuddin Ansari |
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IJRTI_202218
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| Published Paper Id: | IJRTI2504151 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Air pollution is a critical environmental challenge affecting public health and overall ecosystem stability. Traditional air quality monitoring methods are often expensive, stationary, and limited in coverage. Air pollution is the presence of excessive amounts of undesirable and unsafe solid or gaseous substances such as Carbon Monoxide, Lead, Nitrogen Oxide, Ozone, Particulate Matter, Sulfur Dioxide, etc., atmosphere. Air pollution has become an increasingly hazardous problem over the past few years. This factor is directly related to human health. Other effects of air pollution also include various diseases like lung cancer, ischemic heart disease, asthma attacks, etc. This research presents the design and implementation of a cost-effective, real-time Air Quality Monitoring System (AQMS) that utilizes Internet of Things (IoT) technology to measure key pollutants such as PM2.5, PM10, CO, CO₂, NO₂, and temperature-humidity parameters. The system integrates low-cost sensors with a microcontroller-based platform and transmits data to a cloud-based server for analysis and visualization. Machine learning techniques are employed to predict air quality trends and provide actionable insights. The proposed AQMS offers a scalable and accessible solution for urban and rural areas, enabling policymakers and the public to make informed decisions regarding air pollution mitigation. Experimental results demonstrate the systems accuracy and efficiency in detecting pollution levels compared to conventional monitoring stations. This study highlights the potential of IoT and AI-driven solutions in enhancing environmental monitoring and sustainability efforts. |
| Keywords: | Air Quality Monitoring, IoT, Pollution Detection, Machine Learning, Environmental Sustainability |
| Cite Article: | " AIR QUALITY MONITORING SYSTEM ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b424-b440, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504151.pdf |
| Downloads: | 000323 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504151
Registration ID:202218
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b424-b440 Country: Thane, Maharashtra, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504151 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504151 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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