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- Proof of concept - Polar bear detection
The recent Ramsar Conference in Victoria Falls, Zimbabwe, underscored the critical importance of wetland conservation and the need for innovative solutions to protect these vital ecosystems.
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- Community-driven monitoring in conservation tech
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- Zimbabwe Shines: 5 Key Takeaways from Ramsar COP15
Making waves in wetland conservation: Explore the outcomes and insights from Ramsar COP15, a premier global event on wetland protection and sustainability
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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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- G-DiNC 2026: Global Drones in Nature Conservation Symposium & Expo
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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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