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In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties

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In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties

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Cortes-Lopez, V.; Cubero-García, S.; Blasco Ivars, J.; Aleixos Borrás, MN.; Talens Oliag, P. (2019). In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties. Food and Bioprocess Technology. 12(6):1021-1030. https://doi.org/10.1007/s11947-019-02268-0

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/136099

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Título: In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties
Autor: Cortes-Lopez, Victoria Cubero-García, Sergio BLASCO IVARS, JOSE Aleixos Borrás, María Nuria Talens Oliag, Pau
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments
Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
Fecha difusión:
Resumen:
[EN] One of the most studied techniques for the non-destructive determination of the internal quality of fruits has been visible and nearinfrared (VIS-NIR) reflectance spectroscopy. This work evaluates a new non-destructive ...[+]
Palabras clave: Apple , In-line , Varietal discrimination , Visible-near-infrared spectroscopy , Non-destructive
Derechos de uso: Reserva de todos los derechos
Fuente:
Food and Bioprocess Technology. (issn: 1935-5130 )
DOI: 10.1007/s11947-019-02268-0
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11947-019-02268-0
Código del Proyecto:
info:eu-repo/grantAgreement/MECD//FPU13%2F04202/ES/FPU13%2F04202/
info:eu-repo/grantAgreement/GVA//AICO%2F2015%2F122/
info:eu-repo/grantAgreement/MINECO//RTA2015-00078-00-00/ES/Sistemas no destructivos para la determinación automática de la calidad interna de frutas en línea utilizando métodos ópticos e información espectral/
Agradecimientos:
This work was partially funded by the Generalitat Valenciana through project AICO/2015/122 and by INIA and FEDER funds through project RTA2015-00078-00-00. Victoria Cortes Lopez thanks the Spanish Ministry of Education, ...[+]
Tipo: Artículo

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