Eyes and ears in the forest – using remote sensing and machine learning techniques to monitor wildlife in the Peruvian Amazon

Eyes and ears in the forest – using remote sensing and machine learning techniques to monitor wildlife in the Peruvian Amazon

The Smithsonian Conservation Biology Institute partners with the private sector to understand the impacts of infrastructure development on biodiversity and to design best practices grounded in science to minimize the impacts of sustainable infrastructure. SCBI is employing various technologies to increase stakeholder participation and cost-effectiveness of wildlife monitoring in working land and seascapes. Join Dr. Jessica Deichmann for her talk higlighting her use of ecoacoustics to monitor sound-producing animals and machine learning to develop tools to identify fish species in the Peruvian Amazon.

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