Home ›
Entities
› academia
› Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection
Research article (2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2024) · cited 11× · AI/ML
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection
Summary
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection is a scholarly article[1].
Key Facts
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection'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). Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/advanced-deep-learning-approaches-utilizing-vgg16-vgg19-and-resnet-architectures-for-enhanced-grapevine-disease-detectio
MLA“Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advanced-deep-learning-approaches-utilizing-vgg16-vgg19-and-resnet-architectures-for-enhanced-grapevine-disease-detectio.
BibTeX@misc{4ortxyz_advanced-deep-learning-approaches-utilizing-vgg16-vgg19-and-resnet-architectures-for-enhanced-grapevine-disease-detectio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection}}, year = {2026}, url = {https://4ort.xyz/entity/advanced-deep-learning-approaches-utilizing-vgg16-vgg19-and-resnet-architectures-for-enhanced-grapevine-disease-detectio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection — https://4ort.xyz/entity/advanced-deep-learning-approaches-utilizing-vgg16-vgg19-and-resnet-architectures-for-enhanced-grapevine-disease-detectio (retrieved 2026-05-24)
