Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
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
Cite Article:
"Smart Air Quality Monitoring and Prediction Using IoT and Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b300-b309, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512139.pdf
Downloads:
000119
ISSN:
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