Internet of Things Enabled Electronic Tongue for Remote Monitoring of Water Quality

Abstract

Electronic tongue is a system consisting of an array of cross-selective sensors combined with machine learning algorithm for qualitative and quantitative analyses of samples like beverages and foods. Remote monitoring of electronic tongue is beneficial as it would allow accessing real-time analysis of samples remotely and provide automation to the analysis process over time. In this direction, an Internet of things-enabled electronic tongue is developed for remote monitoring of quality of water as safe, uncertain, or unsafe to consume. The electronic tongue acquires data to characterize water sample and store it on a cloud platform. The cloud platform visualizes and processes the data using principal component analysis and k-nearest neighbor classifier to provide qualitative information of the water samples. The information is communicated to the user using an android application which indicates the quality of water in terms of light signals on a smartphone. The developed system demonstrates classification accuracy of 91.11% to classify water samples based on its quality. The results indicate that the system can be implemented further for remote analysis of a variety of samples.