Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection

Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection

An accurate and robust pest detection and recognition scheme is an important step to enable the high quality and yield of agricultural products according to integrated pest management (IPM). Due to pose-variant, serious overlap, dense distribution, and interclass similarity of agricultural pests, th...

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Bibliographic Details
Main Authors: Lin Jiao, Gaoqiang Li, Peng Chen, Rujing Wang, Jianming Du, Haiyun Liu, Shifeng Dong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Plant Science
Subjects:
deep learning
convolutional neural network
deformable residual network
agricultural pest
target detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.895944/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.895944/full

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