Artificial Intelligence based Smart Tree for Metropolitan Cities to Increase Air Purity

Air pollution is both an environmental and a social problem, as it leads to multitude of adverse effects on human health, ecosystems and the climate. Air pollution is one of the largest environmental health risks in Europe today. Quality of the air in city and urban areas is the most important factor that directly influences the incidence of diseases and decreases the quality of life. Taking appropriate decisions in a timely period depends on the measurement and analysis of the parameters of the air, which creates the need for the development of real time air quality monitoring. These monitoring systems are important components in many smart city projects for monitoring air quality and for controlling the main pollutant concentrations in urban areas. In this paper we present an approach for cost-effective measurement of air quality, based on a scalable sensor array with gas sensors. Also an air purifying mechanism has been implemented to control the air pollution in public places. A smart tree like system is implemented with artificial intelligence to monitor the continuous data of air quality and report the level of pollutants present in the air. These data are gathered and they provide accurate results and give solutions autonomously.