Raman Spectroscopy and Improved Inception Network for Determination of FHB-Infected Wheat Kernels

Raman Spectroscopy and Improved Inception Network for Determination of FHB-Infected Wheat Kernels

Detection of infected kernels is important for Fusarium head blight (FHB) prevention and product quality assurance in wheat. In this study, Raman spectroscopy (RS) and deep learning networks were used for the determination of FHB-infected wheat kernels. First, the RS spectra of healthy, mild, and se...

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Bibliographic Details
Main Authors: Mengqing Qiu, Shouguo Zheng, Le Tang, Xujin Hu, Qingshan Xu, Ling Zheng, Shizhuang Weng
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Foods
Subjects:
Raman spectroscopy
Fusarium head blight (FHB)
wheat kernels
inception network
residual module
channel attention module
Online Access:https://www.mdpi.com/2304-8158/11/4/578

Internet

https://www.mdpi.com/2304-8158/11/4/578

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