Work

Implementation of an IOT Sensor Network and Machine Learning to Measure the Water Quality

Year: 2025

Type: article

Abstract: Lagoons have a great importance for society, and activities such as fishing or tourism are essential for these areas, for this reason it is important to have a monitoring system in terms of water quality. The central axis of this project was the design and implementation of a sensor network based on the Internet of Things, collecting data using an ESP32 and the Thingspeak platform for data visualization and storage. Data is analyzed using MATLAB, allowing to obtain an estimation of the water quality index of Laguna Jucutuma indicating an average rating of 40, as well as using Machine Learning techniques to obtain a models with an error margin below 3%.

Source: Engineering innovations

DOI: 10.4028/p-xuqf31

Authors: Jose Fernando Alarcón Madrid, Owen Josue Paz Quintanilla, Martín Martinez-Rangel

Institutions: Central American Technological University, Universidad Autónoma del Estado de Morelos

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4409175638