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Rodríguez-Ortega, A.; Aleixos Borrás, MN.; Blasco, J.; Albert Gil, FE.; Munera, S. (2023). Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit. Journal of Food Engineering. 358. https://doi.org/10.1016/j.jfoodeng.2023.111673
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/205515
Título: | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit | |
Autor: | Blasco, José | |
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[EN] Hyperspectral imaging (HSI) is one of the most studied optical techniques to estimate the internal quality of fruits and vegetables. Absorbance and reflectance of the light radiation are specific to each biological ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.1016/j.jfoodeng.2023.111673 | |
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This work was co-funded by the projects AEI PID 2019-107347RRC31 and PID 2019-107347RR-C32, and GVA-PROMETEO CIPROM/2021/014. Sandra Munera thanks the postdoctoral contract Juan de la Cierva-Formacion (FJC2021-047786-I) ...[+]
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