Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2563
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dc.contributor.authorAlahakoon, A. M. P. B-
dc.contributor.authorNibraz, M. M-
dc.contributor.authorGunarathna, P. M. S. S. B-
dc.contributor.authorThenuja, S-
dc.contributor.authorKahandawaarchchi, K. A. D. C. P-
dc.contributor.authorGamage, N. D. U-
dc.date.accessioned2022-06-03T04:33:50Z-
dc.date.available2022-06-03T04:33:50Z-
dc.date.issued2020-
dc.identifier.issn978-1-7281-8655-9-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2563-
dc.description.abstract— In Sri Lanka, reportedly 59% of the population depends on water from natural sources. The government has taken necessary action to provide a quality water, there has always been a need to educate people about the importance of maintaining water quality, the importance of using betterquality water, and necessary precautions to be taken to avoid the Chronic Kidney Disease (CKD). Prior studies of the problems that has to induce to implement an E-Tongue: a smart device to predict safe consumption of groundwater, which is identify the quality of a groundwater in real-time by designing an Internet of Things (IoT) device to read the value of water quality parameters and GPS to fetch location which will be then transferred to cloud environment for an easy access by the machine learning model to process and identify the Water Quality Index (WQI). It will then predict the water quality parameter levels that could be changed in the future and check the possibility of CKD. All the outputs will be finally displayed via the mobile application with 73% accuracy.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries20th International Conference on Advances in ICT for Emerging Regions (ICTer 2020);296 - 297P.-
dc.subjectwater quality predictingen_US
dc.subjectmachine learningen_US
dc.subjectWQIen_US
dc.subjectInternet of Thingsen_US
dc.subjectpredict risk of CKDuen_US
dc.titleE-tongue -A smart tool to predict safe consumption of groundwateren_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICTer51097.2020.9325495en_US
Appears in Collections:Department of Computer Systems Engineering-Scopes
Research Papers - SLIIT Staff Publications

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