Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content

Maturity is a crucial indicator in assessing the quality of tomatoes, and it is closely related to lycopene content. Using hyperspectral imaging, this study aimed to monitor tomato maturity and predict its lycopene content at different maturity stages. Standard normal variable (SNV) transformation w...

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Detalles Bibliográficos
Autores principales: Dai, Chunxia, Sun, Jun, Huang, Xingyi, Zhang, Xiaorui, Tian, Xiaoyu, Wang, Wei, Sun, Jingtao, Luan, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418690/
https://www.ncbi.nlm.nih.gov/pubmed/37569225
http://dx.doi.org/10.3390/foods12152957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418690/
https://www.ncbi.nlm.nih.gov/pubmed/37569225
http://dx.doi.org/10.3390/foods12152957

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