Abstract
Environmental sustainability is an urgent global issue that requires innovative solutions for resource management, pollution control, and ecological preservation. This article explores the applications of machine learning (ML) in promoting environmental sustainability. Various ML models, including supervised, unsupervised, and reinforcement learning, are applied to tackle environmental challenges such as climate change prediction, deforestation monitoring, renewable energy optimization, and waste management. The paper discusses the advantages, challenges, and potential future developments in the use of ML for sustainability efforts.
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