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