AI cuts wildlife monitoring workload for Indigenous rangers in Australia: study
Artificial intelligence (AI) has reduced image-processing workloads for Indigenous rangers in northern Australia by 81.4 percent, according to recent research.
Researchers explored the use of AI in Indigenous-led community-based wildlife monitoring in the Warddeken Indigenous Protected Area in West Arnhem, Northern Territory, according to a statement released Tuesday by Australia's Charles Darwin University (CDU).
The program uses camera traps to monitor animals of cultural and conservation concern and involves Traditional Owners and Indigenous rangers in land management.
Researchers from Warddeken Land Management, CDU and the Commonwealth Scientific and Industrial Research Organization, Australia's national science agency, applied the AI animal-detection model MegaDetector to 1,572 hours of data collected by rangers.
The technology reduced the number of images requiring analysis from 925,088 to 172,290, cutting processing time from six months to two months.
The time saved allowed rangers to focus more on land management and species identification, while documenting languages and developing educational resources, the researchers said.

