Non-destructive prediction of isoflavone and starch by hyperspectral imaging and deep learning in Puerariae Thomsonii Radix

Accurate assessment of isoflavone and starch content in Puerariae Thomsonii Radix (PTR) is crucial for ensuring its quality. However, conventional measurement methods often suffer from time-consuming and labor-intensive procedures. In this study, we propose an innovative and efficient approach that...

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Detalles Bibliográficos
Autores principales: Hu, Huiqiang, Wang, Tingting, Wei, Yunpeng, Xu, Zhenyu, Cao, Shiyu, Fu, Ling, Xu, Huaxing, Mao, Xiaobo, Huang, Luqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634472/
https://www.ncbi.nlm.nih.gov/pubmed/37954990
http://dx.doi.org/10.3389/fpls.2023.1271320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634472/
https://www.ncbi.nlm.nih.gov/pubmed/37954990
http://dx.doi.org/10.3389/fpls.2023.1271320

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