Omambia Andrew , Maake Benard & Wambua Anthony2024-05-282024-05-282022Omambia A. , Maake B. & Wambua A. (2022): Water Quality Monitoring Using IoT & Machine Learning. : IST-Africa 2022 Conference Proceedings.978-1-905824-69-4https://repository.daystar.ac.ke/handle/123456789/4659Conference ProceedingSafe water access is fundamental form of human survival and it is presented as a fundamental human right. As consumers use water, primarily sourced from pipes and springs located around towns, contamination, leakages, and pilferage happen. IoT and Machine Learning offer a promising solution to address these challenges. Premised on these technologies, the authors propose a system that monitors water quality and pilferage and wastage that uses machine learning algorithms for decision making.enWater quality monitoringInternet of thingsmachine learningsmart citiesIoTOther