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ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases
Research article (Agriculture, 2023) · cited 22× · AI/ML
ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases
Summary
ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases is a scholarly article[1].
Key Facts
ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases's instance of is recorded as scholarly article[2].
References
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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). ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases. Retrieved May 24, 2026, from https://4ort.xyz/entity/resvit-rice-a-deep-learning-model-combining-residual-module-and-transformer-encoder-for-accurate-detection-of-rice-disea
MLA“ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resvit-rice-a-deep-learning-model-combining-residual-module-and-transformer-encoder-for-accurate-detection-of-rice-disea.
BibTeX@misc{4ortxyz_resvit-rice-a-deep-learning-model-combining-residual-module-and-transformer-encoder-for-accurate-detection-of-rice-disea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases}}, year = {2026}, url = {https://4ort.xyz/entity/resvit-rice-a-deep-learning-model-combining-residual-module-and-transformer-encoder-for-accurate-detection-of-rice-disea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ResViT-Rice: A Deep Learning Model Combining Residual Module and Transformer Encoder for Accurate Detection of Rice Diseases — https://4ort.xyz/entity/resvit-rice-a-deep-learning-model-combining-residual-module-and-transformer-encoder-for-accurate-detection-of-rice-disea (retrieved 2026-05-24)
