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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Detalles Bibliográficos
Autores principales: Song, Yihong, Zhang, Haoyan, Li, Jiaqi, Ye, Ran, Zhou, Xincan, Dong, Bowen, Fan, Dongchen, Li, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490187/
https://www.ncbi.nlm.nih.gov/pubmed/37687351
http://dx.doi.org/10.3390/plants12173105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490187/
https://www.ncbi.nlm.nih.gov/pubmed/37687351
http://dx.doi.org/10.3390/plants12173105

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