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Rapid screening of DON contamination in whole wheat meals by Vis/NIR spectroscopy and computer vision coupling technology
Author(s) -
Zhang Bin,
Jiang Xuesong,
Shen Fei,
He Xueming,
Fang Yong,
Hu Qiuhui
Publication year - 2021
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.14775
Subject(s) - contamination , artificial intelligence , linear discriminant analysis , near infrared spectroscopy , pattern recognition (psychology) , spectroscopy , computer science , environmental science , mathematics , biological system , optics , physics , biology , ecology , quantum mechanics
This work developed an online experimental system and evaluated the feasibility of Vis/NIR spectroscopy‐computer vision coupling technology for rapid screening of DON contamination in whole wheat meals.