High-Accuracy Maize Disease Detection Based on Attention Generative Adversarial Network and Few-Shot Learning

High-Accuracy Maize Disease Detection Based on Attention Generative Adversarial Network and Few-Shot Learning

This study addresses the problem of maize disease detection in agricultural production, proposing a high-accuracy detection method based on Attention Generative Adversarial Network (Attention-GAN) and few-shot learning. The method introduces an attention mechanism, enabling the model to focus more o...

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Bibliographic Details
Main Authors: Yihong Song, Haoyan Zhang, Jiaqi Li, Ran Ye, Xincan Zhou, Bowen Dong, Dongchen Fan, Lin Li
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Plants
Subjects:
maize disease detection
attention mechanism
generative adversarial network
few-shot learning
Online Access:https://www.mdpi.com/2223-7747/12/17/3105

Internet

https://www.mdpi.com/2223-7747/12/17/3105

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