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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| Main Authors: | Sheng Yu, Li Xie, Liang Dai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-08673-0 |
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