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

Internet

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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