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The application of artificial intelligence (AI) in environmental sustainability is increasingly becoming essential to address global challenges such as climate change, resource management, and pollution control. AI-driven technologies enable more efficient data collection, predictive analytics, and decision-making processes to optimize resource utilization, reduce waste, and enhance environmental monitoring. By integrating AI with environmental sciences, industries can develop sustainable practices, minimize carbon footprints, and manage ecosystems more effectively. This interdisciplinary approach fosters innovation in renewable energy, biodiversity conservation, and urban planning, thus contributing significantly to global sustainability goals. However, ethical considerations and potential unintended consequences of AI in environmental management warrant careful regulation and transparent governance.