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Variety identification of oat seeds using hyperspectral imaging: investigating the representation ability of deep convolutional neural network

Variety identification of seeds is critical for assessing variety purity and ensuring crop yield. In this paper, a novel method based on hyperspectral imaging (HSI) and deep convolutional neural network (DCNN) was proposed to discriminate the varieties of oat seeds. The representation ability of DCN...

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Detalles Bibliográficos
Autores principales: Wu, Na, Zhang, Yu, Na, Risu, Mi, Chunxiao, Zhu, Susu, He, Yong, Zhang, Chu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063646/
https://www.ncbi.nlm.nih.gov/pubmed/35515879
http://dx.doi.org/10.1039/c8ra10335f