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Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae
Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae
Summary
Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae is a scholarly article[1].
Key Facts
Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae's instance of is recorded as scholarly article[2].
References
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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). Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-flash-gc-e-nose-and-ft-nir-combined-with-deep-learning-algorithm-in-preventing-age-fraud-and-quality-eval
MLA“Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-flash-gc-e-nose-and-ft-nir-combined-with-deep-learning-algorithm-in-preventing-age-fraud-and-quality-eval.
BibTeX@misc{4ortxyz_application-of-flash-gc-e-nose-and-ft-nir-combined-with-deep-learning-algorithm-in-preventing-age-fraud-and-quality-eval_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-flash-gc-e-nose-and-ft-nir-combined-with-deep-learning-algorithm-in-preventing-age-fraud-and-quality-eval}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae — https://4ort.xyz/entity/application-of-flash-gc-e-nose-and-ft-nir-combined-with-deep-learning-algorithm-in-preventing-age-fraud-and-quality-eval (retrieved 2026-05-24)
