ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
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AccessOpen
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Paper Title
Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning
Authors
Bablu Kumar , Dr. Pratap Singh
Keywords
Internet of Things (IoT), Air Quality Monitoring, Smart Air Quality Monitoring (SAQM), Machine Learning (ML), Deep Learning (DL), Gated Recurrent Unit (GRU), Time Series Forecasting, Air Quality Index (AQI), PM2.5 Prediction, PM10 Prediction, Environmental Sensing, MQTT Protocol, ESP32 Microcontroller, Urban Pollution Analysis, Smart City Applications, Cloud Computing, Sensor Calibration, Predictive Analytics, IoT Sensor Networks, Environmental Data Analysis
Abstract
Air pollution represents a critical global health challenge, necessitating the shift from traditional, expensive, and geographically sparse monitoring stations to distributed, cost effective, and real-time solutions.
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How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 12, page no.b300-b309, December-2025, Available :https://ijrti.org/papers/IJRTI2512139.pdf
APA — 7th edition
Kumar, B., & Singh, P. (2025). Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning. International Journal for Research Trends and Innovation, 10(12), b300-b309. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139
MLA — 9th edition
Kumar, Bablu, and Pratap Singh. "Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning." International Journal for Research Trends and Innovation, vol. 10, no. 12, 2025, pp. b300-b309, https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139.
Chicago — 17th, bibliography
Kumar, Bablu, and Pratap Singh. "Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning." International Journal for Research Trends and Innovation 10, no. 12 (2025): b300-b309. https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139.
Harvard — author–date
Kumar, B. and Singh, P. (2025) 'Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning', International Journal for Research Trends and Innovation, 10(12), pp. b300-b309. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139
IEEE — numbered reference
B. Kumar and P. Singh, "Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning," IJRTI, vol. 10, no. 12, pp. b300-b309, Dec. 2025.
Vancouver — biomedical
Kumar B, Singh P. Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning. IJRTI. 2025 Dec;10(12):b300-b309.
AMA — 11th edition
Kumar B, Singh P. Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning. IJRTI. 2025;10(12):b300-b309. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2512139,
author = {Bablu Kumar and Pratap Singh},
title = {Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {12},
pages = {b300-b309},
year = {2025},
month = {December},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kumar, Bablu
AU - Singh, Pratap
TI - Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 12
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139
SP - b300-b309
ER -
Issue
Volume 10 Issue 12,
December-2025
Pages : b300-b309
Other Publication Details
Paper Reg. ID
IJRTI_208237
Published Paper ID
IJRTI2512139
Downloads
205,641
Research Area
Engineering
Country
Haridwar, Uttarakhand, India
Published
December 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2512139.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2512139
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
