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@article{204540,
        author = {Athira R P and Hridya Suresh and Aswath S and Deebu U S},
        title = {Smart Weather Monitoring System Using IoT and AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {219-223},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204540},
        abstract = {Accurate weather forecasting is essential for agriculture, disaster management, transportation, and smart city planning. Conventional weather prediction systems primarily depend on large-scale meteorological stations and satellite data, which may not provide precise localized forecasts. To address this limitation, this paper presents a Smart Weather Prediction System using the Internet of Things (IoT) and Artificial Intelligence (AI). 
The proposed system employs IoT-based environmental sensors to continuously monitor parameters such as temperature, humidity, rainfall, and air quality. The collected real-time data is transmitted to a cloud platform for storage and processing. Machine learning algorithms are applied to analyze both historical and real-time datasets to identify patterns and predict short-term weather conditions. 
The integration of IoT-enabled sensing with AI driven predictive modeling enhances forecasting accuracy while maintaining low cost and scalability. Experimental results demonstrate improved prediction performance for localized weather conditions compared to conventional observation-based systems. The proposed system can be effectively deployed in agriculture, disaster warning systems, and smart city infrastructures.},
        keywords = {.},
        month = {June},
        }