Home ›
Entities
› academia
› Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
Research article (Scientific Reports, 2024) · cited 92× · AI/ML
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
Summary
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM is a scholarly article[1].
Key Facts
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-agriculture-through-real-time-grape-leaf-disease-classification-via-an-edge-device-with-a-lightweight-cnn-arch
MLA“Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-agriculture-through-real-time-grape-leaf-disease-classification-via-an-edge-device-with-a-lightweight-cnn-arch.
BibTeX@misc{4ortxyz_enhancing-agriculture-through-real-time-grape-leaf-disease-classification-via-an-edge-device-with-a-lightweight-cnn-arch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-agriculture-through-real-time-grape-leaf-disease-classification-via-an-edge-device-with-a-lightweight-cnn-arch}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM — https://4ort.xyz/entity/enhancing-agriculture-through-real-time-grape-leaf-disease-classification-via-an-edge-device-with-a-lightweight-cnn-arch (retrieved 2026-05-24)