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@article{206589,
        author = {Soorya Vighneshwar Bhat and Shashidhar Subhash Harikantra and Aryan Vivon Fernandes and Dr. Vinayak V. Rao},
        title = {EcoConnect-X: An Integrated Smart Waste Management System Using IoT, GIS, Machine Learning, And Satellite Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {49-54},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206589},
        abstract = {Urbanization rates have been increasing unevenly with the growth in municipal solid waste (MSW) generation, resulting in difficulties in managing urban solid waste. Current methods face problems of overflowing bins, inefficient collection routes, no real-time data monitoring and limited recycling initiatives. This paper attempts to address these problems by proposing EcoConnect-X, a smart waste intelligence system which integrates Internet of Things (IoT), Geographic Information System (GIS), Machine Learning (ML) and satellite monitoring. This includes IoT-enabled smart bins with sensors to detect its level and weight, sending the information to a cloud-based data management and analysis system. GIS is used to plan route and visualise and machine learning is used to forecast the waste. Satellite data is also used to monitor landfill growth and dumping across the country. The system connects communities, collectors, recyclers and the government through a mobile app for effective coordination. A prototype has been developed using an ESP32 microcontroller, ultrasonic sensor and load cell for real-time monitoring, segregation and a virtual market. It is also multilingual. Finally, EcoConnect-X demonstrates how an integrated approach using multi-technologies can result in effective waste collection for urban areas, encourage recycling and support green urban growth.},
        keywords = {IoT, Smart Waste Collection, GIS, Machine Learning, Satellite, EcoConnect-X, Smart City},
        month = {July},
        }