Identification of Unsound Grains in Wheat Using Deep Learning and Terahertz Spectral Imaging Technology

This paper offers a prospective solution to the poor quality and less prominent features of the original terahertz spectral images of unsound wheat grains caused due to the imaging system and background noise. In this paper, a CBDNet-V terahertz spectral image enhancement model is proposed. Compared...

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Hlavní autoři: Yuying Jiang, Fei Wang, Hongyi Ge, Guangming Li, Xinyu Chen, Li Li, Ming Lv, Yuan Zhang
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-04-01
Edice:Agronomy
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On-line přístup:https://www.mdpi.com/2073-4395/12/5/1093