Water Quality Monitoring Using IoT & Machine Learning
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IST-Africa 2022 Conference Proceedings
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.
Description
Conference Proceeding
Keywords
Water quality monitoring, Internet of things, machine learning, smart cities, IoT
Citation
Omambia A. , Maake B. & Wambua A. (2022): Water Quality Monitoring Using IoT & Machine Learning. : IST-Africa 2022 Conference Proceedings.