Cotton Fusarium wilt diagnosis based on generative adversarial networks in small samples

Cotton Fusarium wilt diagnosis based on generative adversarial networks in small samples

This study aimed to explore the feasibility of applying Generative Adversarial Networks (GANs) for the diagnosis of Verticillium wilt disease in cotton and compared it with traditional data augmentation methods and transfer learning. By designing a model based on small-sample learning, we proposed a...

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Bibliographic Details
Main Authors: Zhenghang Zhang, Lulu Ma, Chunyue Wei, Mi Yang, Shizhe Qin, Xin Lv, Ze Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Plant Science
Subjects:
cotton diseases
data augmentation
transfer learning
generative adversarial networks
convolutional networks
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1290774/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1290774/full

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