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DWTFormer: a frequency-spatial features fusion model for tomato leaf disease identification

Abstract Remarkable inter-class similarity and intra-class variability of tomato leaf diseases seriously affect the accuracy of identification models. A novel tomato leaf disease identification model, DWTFormer, based on frequency-spatial feature fusion, was proposed to address this issue. Firstly,...

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Detalles Bibliográficos
Principais autores: Yuyun Xiang, Shuang Gao, Xiaopeng Li, Shuqin Li
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2025-03-01
Series:Plant Methods
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Acceso en liña:https://doi.org/10.1186/s13007-025-01349-w
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