Development of an Air Pollution Monitoring System

Clean air is a fundamental requirement for the proper functioning of the human body. Increasing population, urbanization and industrialization has led to a stark degradation in air quality. Bad air quality has severe effects on humans, wildlife, vegetation and man-made architectures. Hence, forecasting future air quality and monitoring current air quality is of utmost importance. This paper presents a comparative analysis of various machine learning techniques for air quality forecasting and an analysis of various sensors for air quality monitoring. In addition, a sensing architecture for monitoring air pollutant concentration on a wide scale has been delineated. This work would help in detecting the factors involved in degradation of air and plan measures to improve the air quality.