Batmunkh Davaasuren

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Batmunkh Davaasuren

@Batmunkh_Davaasuren

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Batmunkh Davaasuren

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Mongolia

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Biologging

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Latest Discussion
TagRanger: Redefining animal tracking iwth ad-hoc wireless networks and software-defined technology

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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The Variety Hour: 2024 Lineup

You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and discussions!

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Remote Sensing & GIS

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Latest Discussion
Fauna & Flora: Bridging geospatial data and people together for enhanced conservation management

Every day, mapping and spatial analysis are aiding conservation decisions, protected areas designation, habitat management on reserves and monitoring of wildlife populations, to name but a few examples. If you are excited by the ways in which GIS is used in conservation, this is the group for you!

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InConversation: Starting a Conservation Technology Career with Vainess Laizer

Watch our interview with pioneering young Tanzanian vulture researcher Vainess Laizer! Her research investigating the breeding success of white-backed vultures in the western corridor of the Serengeti ecosystem using camera technology is an excellent inspiration for how to get started in a career in conservation tech.

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AI for Conservation

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Latest Discussion
Faces, Flukes, Fins and Flanks: How multispecies re-ID models are transforming Wild Me's work

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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