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RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism
Research article (Computers and Electronics in Agriculture, 2021) · cited 181× · AI/ML
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism
Summary
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism is a scholarly article[1].
Key Facts
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception-and-residual-structure-and-embedded-attent
MLA“RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception-and-residual-structure-and-embedded-attent.
BibTeX@misc{4ortxyz_ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception-and-residual-structure-and-embedded-attent_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception-and-residual-structure-and-embedded-attent}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism — https://4ort.xyz/entity/ric-net-a-plant-disease-classification-model-based-on-the-fusion-of-inception-and-residual-structure-and-embedded-attent (retrieved 2026-05-24)
