Details

Title

Detection of Wood Boring Insects’ Larvae Based on the Acoustic Signal Analysis and the Artificial Intelligence Algorithm

Journal title

Archives of Acoustics

Yearbook

2017

Volume

vol. 42

Issue

No 1

Authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics

Date

2017

Identifier

DOI: 10.1515/aoa-2017-0007

Source

Archives of Acoustics; 2017; vol. 42; No 1

References

Pence (1954), Detecting wood - boring insects electronic device devel - oped as aid in locating insects destructive to timber and wood products, California Agriculture, 5. ; Zorović (2015), Laser vibrometry as a diagnostic tool for detecting wood - boring beetle larvae of, Journal Pest Science, 88, 107, doi.org/10.1007/s10340-014-0567-5 ; Stirr (1999), Use of CT in De - tection of Internal Damage and Repair and Determi - nation of Authenticity in High - Quality Bowed Stringed Instruments, RadioGraphics, 19, 639, doi.org/10.1148/radiographics.19.3.g99ma09639 ; Mikołajska (2012), X - ray techniques in the investigation of a Gothic sculp - ture : The risen Christ, Nukleonika, 57, 627. ; Mankin (2004), Lar - son Acoustic system for in - sect detection in plant stems : comparisons of Cephus cinctus in wheat and Metamasius callizona in bromeli - ads of Agricultural and Urban, Journal Entomology, 21, 239. ; Kurek (2010), Support vector machine for fault diagnosis of the broken rotor bars of squirrel - cage induction motor, Neural Comput, 19, 557, doi.org/10.1007/s00521-009-0316-5 ; Fleming (2005), Noncontact ultra - sound detection of exotic insects in wood packing ma - terials Forest Products, Journal, 55, 33.
×