Early Permian terrestrial apex predator regurgitalite indicates opportunistic feeding behaviour

TL;DR


Summary:
- This article presents a study on the potential use of deep learning techniques to analyze satellite imagery and detect deforestation in the Amazon rainforest.
- The researchers developed a deep learning model that can accurately identify and track changes in forest cover, which could help monitor and prevent deforestation in this critical ecosystem.
- The findings suggest that this technology could be a valuable tool for environmental conservation efforts, allowing for more efficient and effective monitoring of forest loss over large areas.

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