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Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures

Research article (Nature Communications, 2020) · cited 60× · AI/ML
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Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures

Summary

Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures is a scholarly article[1].

Key Facts

  • Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures. Retrieved May 24, 2026, from https://4ort.xyz/entity/pattern-recognition-based-on-machine-learning-identifies-oil-adulteration-and-edible-oil-mixtures
MLA “Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pattern-recognition-based-on-machine-learning-identifies-oil-adulteration-and-edible-oil-mixtures.
BibTeX @misc{4ortxyz_pattern-recognition-based-on-machine-learning-identifies-oil-adulteration-and-edible-oil-mixtures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures}}, year = {2026}, url = {https://4ort.xyz/entity/pattern-recognition-based-on-machine-learning-identifies-oil-adulteration-and-edible-oil-mixtures}, note = {Accessed: 2026-05-24}}
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