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DC Field | Value | Language |
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dc.contributor.author | Alahakoon, A. M. P. B | - |
dc.contributor.author | Nibraz, M. M | - |
dc.contributor.author | Gunarathna, P. M. S. S. B | - |
dc.contributor.author | Thenuja, S | - |
dc.contributor.author | Kahandawaarchchi, K. A. D. C. P | - |
dc.contributor.author | Gamage, N. D. U | - |
dc.date.accessioned | 2022-05-24T05:40:55Z | - |
dc.date.available | 2022-05-24T05:40:55Z | - |
dc.date.issued | 2020-11-04 | - |
dc.identifier.citation | A. M. P. B. Alahakoon, M. M. Nibraz, P. M. S. S. B. Gunarathna, S. Thenuja, K. A. D. C. P. Kahandawaarchchi and N. D. U. Gamage, "E-tongue -A smart tool to predict safe consumption of groundwater," 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer), 2020, pp. 296-297, doi: 10.1109/ICTer51097.2020.9325495. | en_US |
dc.identifier.issn | 2472-7598 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/2451 | - |
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 better-quality 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.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer);Pages 296-297 | - |
dc.subject | E-tongue | en_US |
dc.subject | smart tool | en_US |
dc.subject | predict safe | en_US |
dc.subject | consumption | en_US |
dc.subject | groundwater | en_US |
dc.title | E-tongue-A smart tool to predict safe consumption of groundwater | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICTer51097.2020.9325495 | en_US |
Appears in Collections: | Research Papers - Dept of Computer Systems Engineering Research Papers - SLIIT Staff Publications |
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File | Description | Size | Format | |
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E-tongue_-A_smart_tool_to_predict_safe_consumption_of_groundwater.pdf Until 2050-12-31 | 3.64 MB | Adobe PDF | View/Open Request a copy |
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