An Unsupervised Learning Method for the Detection of Genetically Modified Crops Based on Terahertz Spectral Data Analysis

Genetically modified crops have been planted commercially on a large scale since 1996. However, the food safety issue of genetically modified crops remains controversial. Conventional genetically modified crops’ detection methods require a plenty of detective time and complex operations that cannot...

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Veröffentlicht in:	Security and communication networks 2021-03, Vol.2021, p.1-7
Hauptverfasser:	Pan, Shubao, Qin, Binyi, Bi, Lvqing, Zheng, Jincun, Yang, Ruizhao, Yang, Xiaofeng, Li, Yun, Li, Zhi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Corn Cotton Crops Data analysis Genetic modification Genetically altered foods Lasers Parameter estimation Principal components analysis Rice Seeds Spectroscopy Spectrum analysis Supervised learning Support vector machines Teaching methods Time domain analysis Unsupervised learning
Online-Zugang:	Volltext
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