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- BoutScout – Beyond AI for Images, Detecting Avian Behaviour with Sensors
In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful BiLSTM deep learning model trained on temperature data, the team has reduced the time needed to analyse weeks or even months of incubation behaviour to just seconds. This has enabled the discovery of new patterns in how tropical birds incubate their eggs across different elevations and climates. With tools soon to be released on PyPI, including a no-code platform for behavioural analysis, this work offers a fresh, scalable approach for conservationists and researchers working on breeding data at the tropics.
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- AI accelerator for nonprofits working in the Climate area
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- Case Study: Drone-based radio-tracking of Eastern Bandicoots
Wildlife Drones was deployed by Zoos Victoria in a trial project tracking captive-bred Eastern Barred Bandicoots that were tagged and released into the wild
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