Home ›
Entities
› academia
› Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
Research article (Journal of Food Engineering, 2019) · cited 64× · AI/ML
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling
Summary
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling is a scholarly article[1].
Key Facts
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling'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). Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-spectral-and-textural-information-in-near-infrared-hyperspectral-imaging-to-improve-green-tea-classification-mode
MLA“Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-spectral-and-textural-information-in-near-infrared-hyperspectral-imaging-to-improve-green-tea-classification-mode.
BibTeX@misc{4ortxyz_fusing-spectral-and-textural-information-in-near-infrared-hyperspectral-imaging-to-improve-green-tea-classification-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-spectral-and-textural-information-in-near-infrared-hyperspectral-imaging-to-improve-green-tea-classification-mode}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling — https://4ort.xyz/entity/fusing-spectral-and-textural-information-in-near-infrared-hyperspectral-imaging-to-improve-green-tea-classification-mode (retrieved 2026-05-24)
