Artificial intelligence for ambient air quality control

Air quality, integral to public health and environmental stability, necessitates innovative solutions for effective monitoring control. Existing methodologies are often limited in their predictive accuracy, scalability, cost-effectiveness. This paper explores the potential of Artificial Intelligence (AI) transforming ambient air quality We conduct an in-depth review current AI applications, examining various models’ strengths weaknesses predicting controlling quality. These include machine learning, deep other methodologies. Real-world case studies analyzed assess practicality effectiveness applications. While presents promising capabilities, its implementation is not without challenges such as data requirements, interpretability, scalability. discuss these issues, propose possible solutions, explore future prospects The aim provide a comprehensive understanding role can play management pathway towards enhanced application. invites further research harnessing AI’s create sustainable control systems.