Automatic bioacoustic detection of Rhynchophorus ferrugineus

Author

Potamitis, Ilyas ; Ganchev, Todor ; Fakotakis, Nikos

Author_Institution

Dept. of Music Technol. & Acoust., Technol. Educ. Inst. of Crete, Rethymno, Greece

fYear

2008

fDate

25-29 Aug. 2008

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

bioacoustics; biological techniques; biology computing; electric sensing devices; filtering theory; learning (artificial intelligence); piezoelectric devices; portable computers; signal classification; signal detection; Rhynchophorus Ferrugineus; bioacoustic automatic detector; devastating pest attacking palm trees; feeding vibrations; insect; locomotion; machine learning; piezoelectric sensors; portable computer; real-field recordings; signal amplification; signal classification; signal filtering; signal parameterization; tree trunk; Acoustic emission; Detectors; Insects; Noise; Probes; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2008 16th European

Conference_Location

Lausanne

ISSN

2219-5491

Type

conf

Filename

7080308