Home ›
Entities
› academia
› Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods
Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods
Research article (Applied Sciences, 2020) · cited 33× · AI/ML
Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods
Summary
Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods is a scholarly article[1].
Key Facts
Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods'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). Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-and-nondestructive-discrimination-of-geographical-origins-of-longjing-tea-using-hyperspectral-imaging-at-two-spect
MLA“Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-and-nondestructive-discrimination-of-geographical-origins-of-longjing-tea-using-hyperspectral-imaging-at-two-spect.
BibTeX@misc{4ortxyz_rapid-and-nondestructive-discrimination-of-geographical-origins-of-longjing-tea-using-hyperspectral-imaging-at-two-spect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-and-nondestructive-discrimination-of-geographical-origins-of-longjing-tea-using-hyperspectral-imaging-at-two-spect}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods — https://4ort.xyz/entity/rapid-and-nondestructive-discrimination-of-geographical-origins-of-longjing-tea-using-hyperspectral-imaging-at-two-spect (retrieved 2026-05-24)