GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases
Summary
GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases is a scholarly article[1].
Key Facts
GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf 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). GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases. Retrieved May 24, 2026, from https://4ort.xyz/entity/grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of-grape-leaf-diseases
MLA“GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of-grape-leaf-diseases.
BibTeX@misc{4ortxyz_grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of-grape-leaf-diseases_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases}}, year = {2026}, url = {https://4ort.xyz/entity/grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of-grape-leaf-diseases}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GrapeNet: A Lightweight Convolutional Neural Network Model for Identification of Grape Leaf Diseases — https://4ort.xyz/entity/grapenet-a-lightweight-convolutional-neural-network-model-for-identification-of-grape-leaf-diseases (retrieved 2026-05-24)
