Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method

Near-infrared (NIR) hyperspectroscopy becomes an emerging nondestructive sensing technology for inspection of crop seeds. A large spectral dataset of more than 140,000 wheat kernels in 30 varieties was prepared for classification. Feature selection is a critical segment in large spectral data analys...

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Detalles Bibliográficos
Autores principales: Zhou, Lei, Zhang, Chu, Taha, Mohamed Farag, Wei, Xinhua, He, Yong, Qiu, Zhengjun, Liu, Yufei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683420/
https://www.ncbi.nlm.nih.gov/pubmed/33240294
http://dx.doi.org/10.3389/fpls.2020.575810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683420/
https://www.ncbi.nlm.nih.gov/pubmed/33240294
http://dx.doi.org/10.3389/fpls.2020.575810

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