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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Detalles Bibliográficos
Autores principales: Qiu, Mengqing, Zheng, Shouguo, Tang, Le, Hu, Xujin, Xu, Qingshan, Zheng, Ling, Weng, Shizhuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870785/
https://www.ncbi.nlm.nih.gov/pubmed/35206055
http://dx.doi.org/10.3390/foods11040578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870785/
https://www.ncbi.nlm.nih.gov/pubmed/35206055
http://dx.doi.org/10.3390/foods11040578

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