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Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee
Research article (Food Control, 2022) · cited 185× · AI/ML
Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee
Summary
Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee is a scholarly article[1].
Key Facts
Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee'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). Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee. Retrieved May 24, 2026, from https://4ort.xyz/entity/use-of-convolutional-neural-network-cnn-combined-with-ft-nir-spectroscopy-to-predict-food-adulteration-a-case-study-on-c
MLA“Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/use-of-convolutional-neural-network-cnn-combined-with-ft-nir-spectroscopy-to-predict-food-adulteration-a-case-study-on-c.
BibTeX@misc{4ortxyz_use-of-convolutional-neural-network-cnn-combined-with-ft-nir-spectroscopy-to-predict-food-adulteration-a-case-study-on-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee}}, year = {2026}, url = {https://4ort.xyz/entity/use-of-convolutional-neural-network-cnn-combined-with-ft-nir-spectroscopy-to-predict-food-adulteration-a-case-study-on-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee — https://4ort.xyz/entity/use-of-convolutional-neural-network-cnn-combined-with-ft-nir-spectroscopy-to-predict-food-adulteration-a-case-study-on-c (retrieved 2026-05-24)
