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@article{175816,
        author = {Omkar Gharat and Omkar Bhoir and Shantanu Gharat and Ayush Patil and Dr. J.W. Bakal},
        title = {IoT-Based Weather Monitoring System for Railway Safety & Efficiency},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4493-4497},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175816},
        abstract = {Weather conditions significantly impact railway safety and efficiency, with extreme temperatures, heavy rain, strong winds, and fog causing delays, accidents, and higher costs. Traditional weather monitoring relies on general forecasts and manual checks, which aren't precise enough for real-time decision-making. This study introduces an IoT-enabled weather monitoring system that deploys sensors along railway tracks to track parameters such as temperature, humidity, wind speed, and rainfall. The data is sent wirelessly to a cloud server, where machine learning analyzes patterns for predictive hazard detection. By providing real-time alerts, the system helps prevent accidents and disruptions, ultimately enhancing railway safety and efficiency.},
        keywords = {Internet of Things (IoT), Weather Monitoring, Railway Safety, Real-Time Data, Predictive Maintenance.},
        month = {April},
        }