Water Quality Monitoring Using IoT & Machine Learning
Andrew Omambia, Benard Maake, Anthony Wambua
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.
Topics & Concepts
Internet of ThingsComputer scienceQuality (philosophy)Water qualityContaminationArtificial intelligenceMachine learningComputer securityEcologyBiologyEpistemologyPhilosophyWater Quality Monitoring TechnologiesWater Systems and Optimization