Omambia, AndrewMaake, BenardWambua, Anthony2024-07-302024-07-302022Omambia, Andrew., Maake, Benard., & Wambua, Anthony., (2022)., Water Quality Monitoring Using IoT & Machine Learning., ST-Africa.org/Conference2022.978-1-905824-69-4https://repository.daystar.ac.ke/handle/123456789/4931Journal ArticleAbstract: Safe 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 makingenWater quality monitoringInternet of thingsmachine learningsmart citiesIoTArticle