EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer
Summary
EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer is a scholarly article[1].
Key Facts
EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/econv-vit-a-strongly-generalized-apple-leaf-disease-classification-model-based-on-the-fusion-of-convnext-and-transformer
MLA“EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/econv-vit-a-strongly-generalized-apple-leaf-disease-classification-model-based-on-the-fusion-of-convnext-and-transformer.
BibTeX@misc{4ortxyz_econv-vit-a-strongly-generalized-apple-leaf-disease-classification-model-based-on-the-fusion-of-convnext-and-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer}}, year = {2026}, url = {https://4ort.xyz/entity/econv-vit-a-strongly-generalized-apple-leaf-disease-classification-model-based-on-the-fusion-of-convnext-and-transformer}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EConv-ViT: A strongly generalized apple leaf disease classification model based on the fusion of ConvNeXt and Transformer — https://4ort.xyz/entity/econv-vit-a-strongly-generalized-apple-leaf-disease-classification-model-based-on-the-fusion-of-convnext-and-transformer (retrieved 2026-05-24)
