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Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions
Research article (2024 12th International Electrical Engineering Congress (iEECON), 2024) · cited 15× · AI/ML
Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions
Summary
Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions is a scholarly article[1].
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Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-tea-leaf-disease-identification-based-on-convolutional-neural-networks-vgg16-resnet50-and-densenet169-imag
MLA“Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-tea-leaf-disease-identification-based-on-convolutional-neural-networks-vgg16-resnet50-and-densenet169-imag.
BibTeX@misc{4ortxyz_evaluation-of-tea-leaf-disease-identification-based-on-convolutional-neural-networks-vgg16-resnet50-and-densenet169-imag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-tea-leaf-disease-identification-based-on-convolutional-neural-networks-vgg16-resnet50-and-densenet169-imag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of Tea Leaf Disease Identification Based on Convolutional Neural Networks VGG16, ResNet50, and DenseNet169 Image Recognitions — https://4ort.xyz/entity/evaluation-of-tea-leaf-disease-identification-based-on-convolutional-neural-networks-vgg16-resnet50-and-densenet169-imag (retrieved 2026-05-24)
