Research on wheat impurity identification method based on terahertz imaging technology.

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作者： Guangming,Li ^[1] ; Hongyi,Ge ^[1] ; Yuying,Jiang ^[2] ; Yuan,Zhang ^[3] ; Mengdie,Jiang ^[1] ; Xixi,Wen ^[1] ; Qingcheng,Sun ^[1]

作者单位： Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou 450001, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou, 450001, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China. ^[1] Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou 450001, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou, 450001, China; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China. Electronic address: jiangyuying11@163.com. ^[2] Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou 450001, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou, 450001, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China. Electronic address: zy_haut@163.com. ^[3]

关键词 Artificial Hummingbird Algorithm RetinaNet network Target detection Terahertz imaging Wheat impurities

主题词小麦属(Triticum);算法(Algorithms);太赫兹成像(Terahertz Imaging);食品污染(Food Contamination)

DOI 10.1016/j.saa.2024.125205

PMID 39348741

发布时间 2024-11-27

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