Coral reefs have complex soundscapes – created by fish and other creatures living there – which can be used by scientists to measure coral health. However, traditional acoustic surveys of reefs rely on labor-intensive methods which face significant difficulties in assessing reef health through the use of individual recordings. Now, a research team led by the University of Exeter has trained a computer algorithm using multiple recordings of both healthy and degraded reefs, allowing the machine to learn the difference. When fed new data, this algorithm was able to successfully identify reef health 92 percent of the time.
“Coral reefs are facing multiple threats including climate change, so monitoring their health and the success of conservation projects is vital,” said stu...Read More