Water Quality Monitoring Using IoT & Machine Learning

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ST-Africa.org/Conference2022

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Abstract: 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 making

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Omambia, Andrew., Maake, Benard., & Wambua, Anthony., (2022)., Water Quality Monitoring Using IoT & Machine Learning., ST-Africa.org/Conference2022.

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