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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.
Vote for your favorite submissions that best demonstrate conservation impact, novel innovation/discovery, and strong storytelling of the work and the sector.
Bringing together many of our community's tech types like bioacoustics, biologging, drones, remote sensing, machine learning, and more, the Marine Conservation group is a meeting point to begin innovative collaborations and answer difficult questions.
Vote for your favorite submissions that best demonstrate conservation impact, novel innovation/discovery, and strong storytelling of the work and the sector.
The software and apps used and built by the conservation tech community are as varied as the species and habitats we work to protect. From fighting wildlife crime to collecting and analyzing data to engaging the general public with unique storytelling, apps, software, and mobile games are playing an increasingly large role in our work. Whether you're already well-versed in the world of software, or you're a hardware expert looking for guidance from the other side of the conservation tech field, this group will have interesting discussions, resources, and ideas to offer.
Read our exciting interview with Samuel Mangi, a Marine Expert working to conserve sea turtles at Bahari Hai in Watamu using underwater monitoring tools and cloud storage.
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Margaux Armfield commented on "New paper - An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs in Ranomafana National Park, Madagascar"