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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Acknowledgements
We are thankful to the management of the Mulshi Agro Tourism and Boat club at the College of Engineering Pune (COEP) for granting permission to pursue our research on their premises.
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Das Gupta, S., Zambare, M.S., Kulkarni, N.M., Shaligram, A.D. (2020). IoT Based Real-Time Water Quality Monitoring and Classification. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds) Innovation in Electrical Power Engineering, Communication, and Computing Technology. Lecture Notes in Electrical Engineering, vol 630. Springer, Singapore. https://doi.org/10.1007/978-981-15-2305-2_53
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DOI: https://doi.org/10.1007/978-981-15-2305-2_53
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