Predicting the conservation status of plant species worldwide
There is little known about the conservation status of most plant species. A machine learning model which predicts if a species is at risk could change that. The modeled [...]
Monitoring whales with satellite imagery
Researchers from Stony Brook University, New York, use machine learning and satellite imagery to automatically identify images of whales and facilitate their monitoring. Underwater photo [...]
Detecting plastic litter in natural environments
The Ocean Cleanup is using artificial intelligence algorithms to identify and remove plastics from natural environments before they harm wildlife. Contributor Laurent Lebreton, [...]
Monitoring seals behaviour with accelerometers
Researchers from Macquarie University are using machine learning to automatically detect seal behaviors from accelerometers. Marine predators are crucial components of marine ecosystems. To conserve these species it [...]
Identifying invasive predators in New Zealand
The Cacophony Project, a New Zealand based organisation, is using the latest technology to lure, identify and eliminate invasive predators. This involved heat cameras, AI identification, sound lures [...]
Finding poachers on the ground with drones
Africa is losing its most at-risk species due to poaching. At the current rate, elephants and rhinos will be extinct in the next 10 years. The company 400ft [...]
Recognising the birdsong in cities
Artificial intelligence is learning how to identify birdcalls, enabling scientists to discover the location and number of New Zealand endemic birds. Knowing where the birds are and how [...]