Reliable Augmentation and Precise Identification of EPG Waveforms Based on Multi-Criteria DCGAN

Reliable Augmentation and Precise Identification of EPG Waveforms Based on Multi-Criteria DCGAN

The electrical penetration graph (EPG) technique is of great significance in elucidating the mechanisms of virus transmission by piercing-sucking insects and crop resistance to these insects. The traditional method of manually processing EPG signals encounters the drawbacks of inefficiency and subje...

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Bibliographic Details
Main Authors: Xiangzeng Kong, Chuxin Wang, Lintong Zhang, Wenqing Zhang, Shimiao Chen, Haiyong Weng, Nana Hu, Tingting Zhang, Fangfang Qu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
electrical penetration graph
citrus psyllid
data augmentation
deep convolutional generative adversarial network
waveform classification
Online Access:https://www.mdpi.com/2076-3417/14/22/10127
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