"Environmental pollution and degradation are among the most challenging problems of the twenty- first century. Its impact is seen in the soil, water and air systems. Rapid industrialization, urbanization, population explosion and unsustainable patterns of resource consumption have aggravated pollution globally with serious implications for ecological balance, biodiversity, human health and sustainable development. Artificial intelligence (AI) has shown great promise in addressing environmental challenges in recent years. Artificial intelligence uses sophisticated computational methods. AI-based approaches such as machine learning, deep learning, fuzzy systems and Internet of Things (IoT) have demonstrated great promise in pollution management through effective monitoring, data analytics and intelligent decision-support systems. Artificial intelligence helps to provide accurate predictions, real time monitoring and early warning generation in a range of environmental contexts. The marriage of AI and environmental science turns traditional pollution management into a more data-driven, predictive science.

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