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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/st-cfi-swin-transformer-with-convolutional-feature-interactions-for-identifying/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shengquan Yu,Li Xie,Liang Dai |
| Citations | 13 |
| DOI | 10.1038/s41598-025-08673-0 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-08673-0.pdf |
| OpenAlex ID | https://openalex.org/W4412170421 |
| PMID | 40640259 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shengquan Yu](https://scholariq.org/researchers/shengquan-yu/)
- [Li Xie](https://scholariq.org/researchers/li-xie/)
- [Liang Dai](https://scholariq.org/researchers/liang-dai/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.