Chewing sounds can help decode an animal’s diet using AI, new study finds
Scientists have created an AI model that identifies the diet of predators by analyzing the sounds they make while crushing shells. The tool was trained using audio recordings of whitespotted eagle rays feeding on mollusks. This method offers a non-invasive way to study predator-prey interactions and monitor marine ecosystems. The approach could improve conservation efforts by providing accurate data on predator feeding habits and prey population pressures.
Scientists created an AI tool that can identify what animals are eating by listening to the sounds they make while chewing shells.
This method helps track predator-prey relationships and manage marine ecosystems without disturbing the animals.
It offers a non-invasive way to study wildlife diets, supporting better conservation and understanding of ocean life.
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