Acoustic Denoising Using Artificial Intelligence for Wood-Boring Pests <i>Semanotus bifasciatus</i> Larvae Early Monitoring

Acoustic Denoising Using Artificial Intelligence for Wood-Boring Pests <i>Semanotus bifasciatus</i> Larvae Early Monitoring

Acoustic detection technology is a new method for early monitoring of wood-boring pests, and the effective denoising methods are the premise of acoustic detection in forests. This paper used sensors to record <i>Semanotus bifasciatus</i> larval feeding sounds and various environmental no...

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Bibliographic Details
Main Authors: Xuanxin Liu, Haiyan Zhang, Qi Jiang, Lili Ren, Zhibo Chen, Youqing Luo, Juhu Li
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
acoustic denoising
<i>Semanotus bifasciatus</i>
feeding sounds
artificial intelligence
time domain
frequency domain
Online Access:https://www.mdpi.com/1424-8220/22/10/3861

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