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2020 | OriginalPaper | Chapter

IoT Based Real-Time Water Quality Monitoring and Classification

Authors : Sujaya Das Gupta, M. S. Zambare, N. M. Kulkarni, A. D. Shaligram

Published in: Innovation in Electrical Power Engineering, Communication, and Computing Technology

Publisher: Springer Singapore

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Abstract

Rivers are the major freshwater sources. Good health and well-being require clean and good quality water. Recent time has witnessed severe degradation of water quality owing to heavy industrialization, agriculture, and anthropogenic activities. Such high levels of pollution can be health threatening. Hence water quality monitoring plays a vital role in assessing the water quality conditions of water resources; report the spatial and temporal variations in the conditions, identifying the cause and location of water pollution. This research work focuses on developing wireless sensor nodes capable of real-time analyses of the various physicochemical characteristics of any water resource. The work may offer a small leap towards providing safe water by updating the authorities through a web-based portal and mobile phone platforms regarding the contamination status so that preventive measures can be devised in time.

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Metadata
Title
IoT Based Real-Time Water Quality Monitoring and Classification
Authors
Sujaya Das Gupta
M. S. Zambare
N. M. Kulkarni
A. D. Shaligram
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovation in Electrical Power Engineering, Communication, and Computing Technology

Print ISBN: 978-981-15-2304-5

Electronic ISBN: 978-981-15-2305-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-2305-2_53