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@article{189041,
        author = {Shahejama Fatima and Dr Nitin Y Patil},
        title = {A Comprehensive Literature Survey on Innovative Techniques for Air Quality Monitoring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4675-4677},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189041},
        abstract = {Air pollution remains a critical global public health and environmental challenge, necessitating accurate, real-time, and spatially resolved monitoring systems. Traditional air quality monitoring relies on regulatory-grade stations that are expensive, sparse, and limited in coverage. In recent years, innovative techniques—ranging from low-cost sensor networks and Internet of Things (IoT) platforms to drone-assisted sampling, satellite remote sensing, and data-driven modeling—have emerged as transformative approaches to overcome these limitations. This literature survey systematically reviews advances in air quality monitoring technologies from 2015 to 2025, focusing on hardware innovations, data analytics, integration strategies, and validation methodologies. We evaluate the performance, scalability, and reliability of emerging systems, highlight key challenges (e.g., sensor drift, calibration, and data uncertainty), and outline future research directions to support next-generation, high-resolution air quality surveillance networks.},
        keywords = {Air pollution, Air quality monitoring, Drone based monitoring, IoT, Low cost sensors, Machine learning, Remote sensing, Sensor fusion.},
        month = {December},
        }