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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 for Conservation Office Hours: 2025 Review
Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
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Tony Whitten's Content
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Operational guidance
Tony Whitten
We are increasingly using drones (primarily DJI Phantoms) and our management feels we should have some institutional guidance for their use, to be superceded by national...
26 January 2017
Article
Caves don't tend to be well-liked ecosystems, being extremely dark, often quite cramped, and slippery. And the creepy-crawlies that live within them can be the stuff of nightmares. Nevertheless, one's attitude towards...
25 July 2016
Discussion
How can we measure and monitor the biodiversity of caves in a non-destructive manner without having to visit every day or even every month? We, the IUCN...
23 July 2016
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