Abstract
This paper introduces a real-time air quality monitoring system based on the Internet of Things (IoT) integrated with advanced data analytics. The system uses low-cost sensors to gather data on air pollutants, which are then processed using cloud computing and visualized through a web application. Field tests conducted in urban and suburban areas demonstrate the system’s effectiveness in providing accurate, real-time air quality information, enabling timely responses to pollution events.
Cite
CITATION STYLE
Ahmed Boukhalfa, Mohammed Benslimane, & Lynda Ghemri. (2024). Development of a Real-Time Air Quality Monitoring System Using IoT and Data Analytics. International Journal of Science and Mathematics Education, 1(2), 08–15. https://doi.org/10.62951/ijsme.v1i2.55
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