Ai-Based Air Pollution Detection System

Abstract

The use of artificial intelligence (AI) in air pollution monitoring systems has advanced significantly during the last ten years. In order to illustrate the approaches, successes, difficulties, and potential future directions in AI-based air pollution detection, this review compiles data from credible scientific journals. These systems offer enhanced accuracy, real-time monitoring capabilities, and thorough data analysis by utilizing machine learning (ML) and deep learning (DL) approaches. Nonetheless, problems with interpretability, processing demands, and data quality still exist. Over the past ten years, this study attempts to give a thorough summary of the state-of-the-art AI applications in air pollution detection.