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A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases
Research article (Scientific Reports, 2024) · cited 23× · AI/ML
A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases
Summary
A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases is a scholarly article[1].
Key Facts
A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-dual-track-feature-fusion-model-utilizing-group-shuffle-residual-deformnet-and-swin-transformer-for-the-classification
MLA“A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-dual-track-feature-fusion-model-utilizing-group-shuffle-residual-deformnet-and-swin-transformer-for-the-classification.
BibTeX@misc{4ortxyz_a-dual-track-feature-fusion-model-utilizing-group-shuffle-residual-deformnet-and-swin-transformer-for-the-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases}}, year = {2026}, url = {https://4ort.xyz/entity/a-dual-track-feature-fusion-model-utilizing-group-shuffle-residual-deformnet-and-swin-transformer-for-the-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A dual-track feature fusion model utilizing Group Shuffle Residual DeformNet and swin transformer for the classification of grape leaf diseases — https://4ort.xyz/entity/a-dual-track-feature-fusion-model-utilizing-group-shuffle-residual-deformnet-and-swin-transformer-for-the-classification (retrieved 2026-05-24)
