Artificial Intelligence Based Air Quality Monitoring System with Modernized Environmental Safety of Sustainable Development
P. William, Gandikota Ramu, Lavish Kansal, Pravin P. Patil, Ahmed Alkhayyat, A. Kakoli Rao
Abstract
The article suggests that one method for enhancing the system of environmental monitoring of atmospheric air quality in the Indian Federation is to increase the number of permanent control stations for atmospheric pollution in each city. It is possible that the system in the Indian Federation may be enhanced with the assistance of this particular technique. Developing computational methods for monitoring air quality that incorporate data on pollution levels in terms of compliance with hygienic standards as well as assessment of pollution levels from the perspective of environmental risk to; and increasing the number of cities in which pollutant concentrations are continuously measured. Directly as a result of the growing usage of computerized Air Quality Monitors (AQM) system for air quality check using AI, the total number of pollutants that are subject to regulation has also grown. The number of pollutants that are subject to regulation has grown as a direct result of the deployment of computerized monitoring systems for air quality. Animals and people are vulnerable to air pollution, but plants are far more sensitive. The informative value of monitoring the state of green areas and the atmosphere will rise as a result. It may be possible to contribute to the modernization of ecological environment management if recent technological improvements and discoveries based on artificial intelligence are adapted and implemented in the form of effective policy instruments. It has been suggested that, while assessing the quality of the air in the atmosphere, not only should the influence on human health be taken into consideration, but also the impact on the health of the surrounding flora and fauna. This would provide precise data that could be used in the development of environmentally responsible policies.