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@article{177627,
        author = {Divya Dhanki and Mr. C. R. Pote and Divya Dafare and Kanchan Pandey and Netra Donge and Vaibhavi Tingane},
        title = {Multi Location Water Quality Monitoring and Geo-Tagging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1356-1360},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177627},
        abstract = {Water pollution is a significant concern worldwide, requiring continuous monitoring to ensure safety and sustainability. Conventional water testing methods involve laboratory analysis, which is time-consuming and impractical for real-time monitoring. This study introduces an IoT-based water quality monitoring system that integrates multiple sensors, wireless communication, cloud storage, and remote accessibility. The system consists of an Arduino Uno microcontroller, pH, turbidity, and dissolved oxygen (DO) sensors, an ESP8266 Wi-Fi module, and a cloud-based dashboard. Sensor data is transmitted via Wi-Fi to a cloud database, enabling real-time monitoring and analysis. Performance evaluation demonstrated reliable data transmission, accurate sensor readings, and user-friendly interface design. Identified limitations include sensor calibration challenges and power efficiency issues. Future improvements include AI-driven data analytics, solar-powered operation, and extended sensor compatibility for diverse water sources.},
        keywords = {IoT, Water Quality Monitoring, pH Sensor, Turbidity Sensor, Arduino Uno, ESP8266, Cloud Computing, Remote Sensing},
        month = {May},
        }