Harnessing Artificial Intelligence for Sustainable Environmental Solutions: A Deep Learning Approach
Keywords:
Artificial Intelligence, Environmental Sustainability, Deep Learning, Pollution MonitoringAbstract
This paper explores the profound impact of Artificial Intelligence (AI) and Deep Learning on environmental sustainability. It investigates various environmental domains, including pollution monitoring, resource management, climate change predictions, and biodiversity conservation, highlighting AI's transformative potential. AI's ability to uncover hidden patterns and trends in environmental data is discussed, particularly in climate change predictions and biodiversity conservation. The implications of AI in environmental management are profound, enabling timely interventions in pollution control, resource preservation, and climate change mitigation, aligning with Sustainable Development Goals (SDGs). However, challenges such as data quality and ethical concerns are noted. Future research directions emphasize refining AI applications to address these challenges and further enhance environmental sustainability
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