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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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- Join the Seeed Vision Challenge and Explore Conservation Tech!
Join the Seeed Vision Challenge, an opportunity for conservation innovators to harness the power of AI vision sensors for environmental monitoring and protection.
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Acoustic monitoring is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment
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- Underwater advertisement call of the threatened Telmatobius rubigo (Anura: Telmatobiidae
In a recent publication we tested Underwater Passive Acoustic Monitoring (UPAM) as a feasible non-invasive technique to study the calling behavior of therathened aquatic Andean frogs under natural conditions in the extreme environments of PUNA in the central Andes of Argentina
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Tiffany Lee commented on "Suggestions for user research/co-design methodologies"