Automatic bioacoustic detection of Rhynchophorus ferrugineus

The goal of this project is to research and develop a bio-acoustic automatic detector of a devastating pest attacking palm trees, which has recently appeared in Mediterranean countries. The method is based on piezoelectric sensors that are inserted in the tree trunk and record locomotion and feeding vibrations of the insect. The obtained signals are amplified, filtered, parameterized and automatically classified by advanced machine learning methods on a portable computer. We report excellent detection results reaching 99.5% on real-field recordings.