AI determines coral reef health by listening to its ‘song’
Coral reefs have a complex soundscape that requires painstaking analysis to get enough data to measure their health based on sound recordings. In the new study, a computer algorithm was trained using multiple recordings of healthy and degraded reefs, allowing the machine to learn the difference. It then analysed a host of new recordings, and successfully identified reef health 92 per cent of the time. The team used this to track the progress of reef restoration projects. “Coral reefs are facing multiple threats including climate change, so monitoring their health and the success of conservation projects is vital,” said lead author Ben Williams. “One major difficulty is that visual and acoustic surveys of reefs usually rely on labour-intensive methods. “Visual surveys are also limited…