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Using AI to monitor and measure biodiversity and wildlife
In conservation and ecology, Artificial Intelligence (AI) is emerging as a powerful ally for researchers and professionals tasked with monitoring and measuring biodiversity and wildlife. Aneesh Chauhan, senior scientist computer vision and robotics for Wageningen University & Research’s Vision + Robotics programme, sheds light on the transformative role of AI, specifically computer vision and deep learning, in wildlife monitoring techniques.
One of the remarkable applications of AI, especially the computer vision sub-field of AI, is where it helps transform indicators like population sizes and species into meaningful information. In cooperation with researchers from Wageningen Marine Research, the Vision + Robotics programme showcased the success of deep learning in monitoring biodiversity on sea floors, for example.
And the recently finalized wildcard project “Eco-acoustics: a Biodiversity yardstick as a facilitating tool for nature-positive food production” in collaboration with Wageningen Biodiversity Initiative and the Federal University of Vicosa, Brazil, introduced a groundbreaking approach to acoustic monitoring.