The document discusses the application of deep learning and advanced technologies in biodiversity monitoring, highlighting the urgency of effective conservation measures amidst ongoing species extinction and ecological degradation. It outlines the transition from traditional monitoring methods to automated systems that collect and analyze large datasets from various sensors to enhance conservation outcomes. The authors present case studies demonstrating significant improvements in monitoring effectiveness and cost efficiency, urging a shift towards data-driven conservation strategies.
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