Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model

Hyperspectral technology is used to obtain spectral and spatial information of samples simultaneously and demonstrates significant potential for use in seed purity identification. However, it has certain limitations, such as high acquisition cost and massive redundant information. This study integra...

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Detalles Bibliográficos
Autores principales: Liu, Weihua, Zeng, Shan, Wu, Guiju, Li, Hao, Chen, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271842/
https://www.ncbi.nlm.nih.gov/pubmed/34206783
http://dx.doi.org/10.3390/s21134384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271842/
https://www.ncbi.nlm.nih.gov/pubmed/34206783
http://dx.doi.org/10.3390/s21134384

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