GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition

Computers and Electronics in Agriculture(2022)

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摘要
•A novel method for data enhancement of grape leaf disease images is proposed.•The proposed method relies on feature fusion mechanism and capsule structure.•GrapeGAN generates high quality images with full structure and a FID of 5.495.•The recognition accuracy of images generated by the GrapeGAN can reach 96.13%.
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关键词
Grape disease identification,Data augmentation,Generative adversarial networks,Convolutional neural networks
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