Home ›
Entities
› academia
› A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose
Research article (Foods, 2021) · cited 43× · AI/ML
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose
Summary
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose is a scholarly article[1].
Key Facts
A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose'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). A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-method-for-the-fine-grained-classification-of-green-tea-with-geographical-indication-using-a-mos-base
MLA“A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-method-for-the-fine-grained-classification-of-green-tea-with-geographical-indication-using-a-mos-base.
BibTeX@misc{4ortxyz_a-machine-learning-method-for-the-fine-grained-classification-of-green-tea-with-geographical-indication-using-a-mos-base_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-method-for-the-fine-grained-classification-of-green-tea-with-geographical-indication-using-a-mos-base}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose — https://4ort.xyz/entity/a-machine-learning-method-for-the-fine-grained-classification-of-green-tea-with-geographical-indication-using-a-mos-base (retrieved 2026-05-24)