Application of Artificial Intelligence in Environmental Studies: A Comprehensive Review

The integration of Artificial Intelligence (AI) into environmental studies has opened new frontiers in addressing complex ecological problems. This paper provides a detailed exploration of AI applications in climate change modelling, biodiversity conservation, pollution monitoring, and natural resource management. By leveraging machine learning (ML), computer vision, natural language processing (NLP), and other AI tools, researchers can process large datasets, predict environmental trends, and optimize decision-making processes. The study also discusses the challenges faced by AI applications, including data quality issues, model interpretability, and ethical considerations. Finally, we present future research directions for enhancing AI’s role in environmental sustainability.