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A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry
Research article (Food Chemistry, 2015) · cited 49× · AI/ML
A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry
Summary
A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry is a scholarly article[1].
Key Facts
A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-simple-and-practical-control-of-the-authenticity-of-organic-sugarcane-samples-based-on-the-use-of-machine-learning-alg
MLA“A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-simple-and-practical-control-of-the-authenticity-of-organic-sugarcane-samples-based-on-the-use-of-machine-learning-alg.
BibTeX@misc{4ortxyz_a-simple-and-practical-control-of-the-authenticity-of-organic-sugarcane-samples-based-on-the-use-of-machine-learning-alg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry}}, year = {2026}, url = {https://4ort.xyz/entity/a-simple-and-practical-control-of-the-authenticity-of-organic-sugarcane-samples-based-on-the-use-of-machine-learning-alg}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry — https://4ort.xyz/entity/a-simple-and-practical-control-of-the-authenticity-of-organic-sugarcane-samples-based-on-the-use-of-machine-learning-alg (retrieved 2026-05-24)
