Rice Disease and Pest Recognition Method Integrating ECA Mechanism and DenseNet201

Rice Disease and Pest Recognition Method Integrating ECA Mechanism and DenseNet201

ObjectiveTo address the problems of low efficiency and high cost of traditional manual identification of pests and diseases, improve the automatic recognition of pests and diseases by introducing advanced technical means, and provide feasible technical solutions for agricultural pest and disease mon...

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Bibliographic Details
Main Authors: PAN Chenlu, ZHANG Zhenghua, GUI Wenhao, MA Jiajun, YAN Chenxi, ZHANG Xiaomin
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2023-06-01
Series:智慧农业
Subjects:
densetnet201
attention mechanism
pest and disease identification
transfer learning
cnn
ghost module
Online Access:http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202305002

Internet

http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202305002

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