CORDIS Project
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This project explores innovative methods for studying wildlife using deep learning techniques. By enabling non-invasive identification and behavior analysis, it aims to revolutionize wildlife research and enhance data collection in natural habitats.
Studies of wild animals, from conservation to behaviour, are usually based on individually marked animals.
This requires capturing, marking and sampling animals, which imposes limitations as these methods can be challenging, time consuming and impact individual welfare.
Additionally, following and observing or video recording animals to obtain data is further constraining.
Recent developments in artificial intelligence, in particular deep learning, have the potential do radically and rapidly cha…
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