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- Computer Science student looking to work for wildlife
Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.
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- Ol Pejeta Conservancy and Mbaza AI
💙 Exciting news from Appsilon! Our flagship project, Mbaza AI, is expanding its impact on nature and biodiversity conservation. We’ve teamed up with the 🦏 Ol Pejeta Conservancy to build a model for classifying images of plains animals that use their migratory corridors.
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- Monique - the space Elk(s)
Real-time tracking of animal movements is enabling more effective and efficient wildlife monitoring for management, security, and research. As devices get smaller and prices drop, the possibilities for using biologging on a larger scale have grown, and so have the possibilities for increasing customisation to meet specific research needs. Likewise, real-time tracking of illegal wildlife trade, timber, and fish products as they move from source to consumer can shed light on trafficking routes and actors, as well as support enforcement, making tracking gear a powerful tool beyond the field.
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- Download Now: A Best Practice Guide to Satellite Technologies for Tracking Wildlife
The Zoological Society of London, with the support of WILDLABS and the UK Space Agency, are proud to publish this new guide to satellite technologies for tracking wildlife.
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