Publication: E-tongue -A smart tool to predict safe consumption of groundwater
Type:
Article
Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
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.
Description
Keywords
water quality predicting, machine learning, WQI, Internet of Things, predict risk of CKDu
