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Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification
Research article (Journal of Food Composition and Analysis, 2024) · cited 11× · AI/ML
Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification
Summary
Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification is a scholarly article[1].
Key Facts
Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/utilizing-excitation-emission-matrix-fluorescence-spectroscopy-and-convolutional-neural-networks-for-dark-tea-brand-and-
MLA“Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/utilizing-excitation-emission-matrix-fluorescence-spectroscopy-and-convolutional-neural-networks-for-dark-tea-brand-and-.
BibTeX@misc{4ortxyz_utilizing-excitation-emission-matrix-fluorescence-spectroscopy-and-convolutional-neural-networks-for-dark-tea-brand-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification}}, year = {2026}, url = {https://4ort.xyz/entity/utilizing-excitation-emission-matrix-fluorescence-spectroscopy-and-convolutional-neural-networks-for-dark-tea-brand-and-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Utilizing excitation-emission matrix fluorescence spectroscopy and convolutional neural networks for dark tea brand and aging period identification — https://4ort.xyz/entity/utilizing-excitation-emission-matrix-fluorescence-spectroscopy-and-convolutional-neural-networks-for-dark-tea-brand-and- (retrieved 2026-05-24)
