Enhancing Ozone Monitoring with Low-Cost Sensors and Deep Neural Network: A Novel Approach

Ozone is a crucial component of the Earth’s atmosphere, playing a critical role in protecting the planet from harmful ultraviolet radiation. However, its concentration can vary greatly across different regions with significant impacts on human health and environment equilibrium. The aim of this work was to calibrate a low-cost sensing platform, based on chemoresistive gas sensors, to monitor the environmental concentration of O3. The ongoing on-field calibration is performed with a deep neural network using the concentration of O3 collected by the local environmental protection agencies through certified tools as the gold standard.