Feasibility Study of Combining Hyperspectral Imaging with Deep Learning for Chestnut-Quality Detection

The rapid detection of chestnut quality is a critical aspect of chestnut processing. However, traditional imaging methods pose a challenge for chestnut-quality detection due to the absence of visible epidermis symptoms. This study aims to develop a quick and efficient detection method using hyperspe...

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Detalles Bibliográficos
Autores principales: Zhong, Qiongda, Zhang, Hu, Tang, Shuqi, Li, Peng, Lin, Caixia, Zhang, Ling, Zhong, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217303/
https://www.ncbi.nlm.nih.gov/pubmed/37238907
http://dx.doi.org/10.3390/foods12102089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217303/
https://www.ncbi.nlm.nih.gov/pubmed/37238907
http://dx.doi.org/10.3390/foods12102089

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