Water Quality Monitoring Using IoT & Machine Learning
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
ST-Africa.org/Conference2022
Abstract
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
Journal Article
Keywords
Water quality monitoring, Internet of things, machine learning, smart cities, IoT
Citation
Omambia, Andrew., Maake, Benard., & Wambua, Anthony., (2022)., Water Quality Monitoring Using IoT & Machine Learning., ST-Africa.org/Conference2022.