Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador)

Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador)

This work presents a wireless sensor network (WSN) system able to determine the water quality of rivers. Particularly, we consider the Tahuando River from Ibarra, Ecuador, as a case study. The main goal of this research is to determine the river’s status throughout its route, by generating data repo...

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Bibliographic Details
Main Authors: Paul D. Rosero-Montalvo, Vivian F. López-Batista, Jaime A. Riascos, Diego H. Peluffo-Ordóñez
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
prototype selection
river pollution
supervised classification
WSN
Online Access:https://www.mdpi.com/2072-4292/12/12/1988

Internet

https://www.mdpi.com/2072-4292/12/12/1988

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