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Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties

Cotton seed purity is a critical factor influencing the cotton yield. In this study, near-infrared hyperspectral imaging was used to identify seven varieties of cotton seeds. Score images formed by pixel-wise principal component analysis (PCA) showed that there were differences among different varie...

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Detalles Bibliográficos
Autores principales:	Zhu, Susu, Zhou, Lei, Gao, Pan, Bao, Yidan, He, Yong, Feng, Lei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766998/ https://www.ncbi.nlm.nih.gov/pubmed/31500333 http://dx.doi.org/10.3390/molecules24183268

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