AI in Air Quality Monitoring
AI in Air Quality Monitoring refers to the use of artificial intelligence technologies, such as machine learning algorithms and data analytics, to collect, analyze, and interpret data related to air quality. This includes monitoring various pollutants in the air, such as particulate matter, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide. AI in Air Quality Monitoring aims to provide real-time and accurate information about air pollution levels, identify sources of pollution, predict trends, and suggest appropriate interventions to improve air quality and public health.