UoB uses machine learning and drone technology in wildlife conservation – Education Technology

The university's new innovations could transform wildlife conservation projects around the globe

The University of Bristol (UoB) has partnered with Bristol Zoological Society (BZS) to develop a trailblazing approach to wildlife conservation, harnessing the power of machine learning and drone technology to transform wildlife conservation around the world.

Backed by the Cabot Institute for the Environment, BZS and EPSRCs CASCADE grant, a team of researchers travelled to Cameroon in December last year to test a number of drones, sensor technologies and deployment techniques to monitor the critically endangered Kordofan giraffe populations in Bnou National Park.

There has been significant and drastic decline recently of larger mammals in the park and it is vital that accurate measurements of populations can be established to guide our conservation actions, said Dr Grinne McCabe, head of field conservation and science at BZS.

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Bnou National Park is very difficult to patrol on foot and large parts are virtually inaccessible, presenting a huge challenge for wildlife monitoring. Whats more, the giraffe are very well camouflaged and often found in small, transient groups, said Dr Caspian Johnson, conservation science lecturer at BZS.

Striving to uncover the best method for airborne wildlife monitoring, BZS reached out to Dr Matt Watson from the UoBs School of Earth Sciences, and Dr Tom Richardson from the Universitys Aerospace Department, as well as a member of the Bristol Robotics Laboratory (BRL). The team forged successful collaborations using drones to monitor and measure volcanic emissions to create a system for wildlife monitoring.

A machine learning based system that we develop for the Kordofan giraffe will be applicable to a range of large mammals. Combine that with low-cost aircraft systems capable of automated deployment without the need for large open spaces to launch and land, and we will be able to make a real difference to conservation projects worldwide, said Dr Watson.

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UoB uses machine learning and drone technology in wildlife conservation - Education Technology