Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting

Research article (Food Control, 2023) · cited 52× · AI/ML
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Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting

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Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-applications-for-identify-the-geographical-origin-variety-and-processing-of-black-tea-using-1h-nmr-chem
MLA “Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-applications-for-identify-the-geographical-origin-variety-and-processing-of-black-tea-using-1h-nmr-chem.
BibTeX @misc{4ortxyz_machine-learning-applications-for-identify-the-geographical-origin-variety-and-processing-of-black-tea-using-1h-nmr-chem_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning applications for identify the geographical origin, variety and processing of black tea using 1H NMR chemical fingerprinting}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-applications-for-identify-the-geographical-origin-variety-and-processing-of-black-tea-using-1h-nmr-chem}, note = {Accessed: 2026-05-24}}
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