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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases

Abstract The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop losses and improving agricultural yield. T...

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Principais autores: Sheng Yu, Li Xie, Liang Dai
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-07-01
Serier:Scientific Reports
Fag:
Plant disease identification
Deep learning
Swin Transformer
Convolutional Feature Interactions
Vision Transformers
Online adgang:https://doi.org/10.1038/s41598-025-08673-0
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