Environmental Data Platform

This research provides knowledge on the performance and limitations of low-cost environmental sensors in real usage conditions. The EQ-OX platform will be used and the collected data will be compared to those of the reference station. The main purpose of this research is to compare these data and try to correct them through the use of machine learning algorithms.

https://doi.org/10.48784/03475737-55e5-4c93-9ceb-5563c8eb1644

air quality, low-cost sensors, temperature, humidity, machine learning, ai, edge computing

Attribution 4.0 International (CC BY 4.0): You are free to share and adapt under the following conditions: attribution and no additional restriction. (https://creativecommons.org/licenses/by/4.0/deed.en)

2024-02-13 2025-07-11