An Arduino-Based Intelligent System for Drinking Water Quality Analysis

Eugen Marica, Mihaela Oprea

Abstract


The application of artificial intelligence methods for the environment quality analysis has the potential to provide more efficient solutions than conventional methods use as proved by several research work presented in the recent literature. Among these methods, machine learning techniques were most applied. Also, a knowledge-based approach can provide more informed decisions when the quality of water is analyzed or is predicted. The paper presents a knowledge based approach for the development of an intelligent system for drinking water quality analysis and describes an experimental system based on Arduino that was implemented and tested with success on some types of drinking water.

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References


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