An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification

Research article (Ecological Informatics, 2024) · cited 52× · AI/ML
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An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification

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An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-fusion-model-integrating-lightweight-cnn-and-transformer-architectures-for-rice-leaf-disease-identifica
MLA “An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-fusion-model-integrating-lightweight-cnn-and-transformer-architectures-for-rice-leaf-disease-identifica.
BibTeX @misc{4ortxyz_an-interpretable-fusion-model-integrating-lightweight-cnn-and-transformer-architectures-for-rice-leaf-disease-identifica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-fusion-model-integrating-lightweight-cnn-and-transformer-architectures-for-rice-leaf-disease-identifica}, note = {Accessed: 2026-05-24}}
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