Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars

Similar fruit cultivars can be mixed in postharvest and sold as the same, whereas their quality might differ considerably. These differences in quality between cultivars can lead to rejection by consumers if the fruit does not meet their expectations. Thus, confusion must be avoided. Destructive...

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Autores principales: Castillo-Gironés, Salvador, Munera, Sandra, Rodríguez, Alejandro, Aleixos, Nuria, Cubero, Sergio, López-Chulia, Marina, Martínez-Onandi, Nerea, Blasco, José
Formato: poster
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/20.500.11939/8935
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author Castillo-Gironés, Salvador
Munera, Sandra
Rodríguez, Alejandro
Aleixos, Nuria
Cubero, Sergio
López-Chulia, Marina
Martínez-Onandi, Nerea
Blasco, José
author_browse Aleixos, Nuria
Blasco, José
Castillo-Gironés, Salvador
Cubero, Sergio
López-Chulia, Marina
Martínez-Onandi, Nerea
Munera, Sandra
Rodríguez, Alejandro
author_facet Castillo-Gironés, Salvador
Munera, Sandra
Rodríguez, Alejandro
Aleixos, Nuria
Cubero, Sergio
López-Chulia, Marina
Martínez-Onandi, Nerea
Blasco, José
author_sort Castillo-Gironés, Salvador
collection ReDivia
description Similar fruit cultivars can be mixed in postharvest and sold as the same, whereas their quality might differ considerably. These differences in quality between cultivars can lead to rejection by consumers if the fruit does not meet their expectations. Thus, confusion must be avoided. Destructive methods to analyse composition are expensive and cannot be performed on all fruits. Alternatively, hyperspectral imaging is a non-destructive technology that has already been used to assess the internal quality of fruit. 'Algerie' is a traditional cultivar known for its sweet taste, while 'Xirlero' is a lower-quality new variety. Both varieties are harvested in the same period and have a similar external appearance, making them difficult to distinguish. This work aims to find a non-destructive way to distinguish between these two varieties, as the external appearance is similar, but the internal quality differs. 300 samples of 'Xirlero' loquat and 259 'Algerie' were used in the experiments. Samples were harvested weekly in a commercial orchard for five weeks to obtain several maturity levels.
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institution Instituto Valenciano de Investigaciones Agrarias (IVIA)
language Inglés
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spelling ReDivia89352025-04-25T14:54:29Z Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars Castillo-Gironés, Salvador Munera, Sandra Rodríguez, Alejandro Aleixos, Nuria Cubero, Sergio López-Chulia, Marina Martínez-Onandi, Nerea Blasco, José Hyperspectral imaging Vis/NIR Q02 Food processing and preservation Loquats Prediction Variety screening Similar fruit cultivars can be mixed in postharvest and sold as the same, whereas their quality might differ considerably. These differences in quality between cultivars can lead to rejection by consumers if the fruit does not meet their expectations. Thus, confusion must be avoided. Destructive methods to analyse composition are expensive and cannot be performed on all fruits. Alternatively, hyperspectral imaging is a non-destructive technology that has already been used to assess the internal quality of fruit. 'Algerie' is a traditional cultivar known for its sweet taste, while 'Xirlero' is a lower-quality new variety. Both varieties are harvested in the same period and have a similar external appearance, making them difficult to distinguish. This work aims to find a non-destructive way to distinguish between these two varieties, as the external appearance is similar, but the internal quality differs. 300 samples of 'Xirlero' loquat and 259 'Algerie' were used in the experiments. Samples were harvested weekly in a commercial orchard for five weeks to obtain several maturity levels. 2024-06-06T11:54:13Z 2024-06-06T11:54:13Z 2023 poster Castillo-Gironés, S., Munera, S., Rodríguez, A., Aleixos, N., Cubero, S., López-Chulia, M., Martínez-Onandi, N., Blasco, J. (2023) Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars. VII International Postharvest Unlimited Conference & Postharvest Ornamentals Symposium, Wageningen, p. 19. [Poster presentation] https://hdl.handle.net/20.500.11939/8935 en 2023 VII International Postharvest Unlimited Conference & Postharvest Ornamentals Symposium Wageningen Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess electronico
spellingShingle Hyperspectral imaging
Vis/NIR
Q02 Food processing and preservation
Loquats
Prediction
Variety screening
Castillo-Gironés, Salvador
Munera, Sandra
Rodríguez, Alejandro
Aleixos, Nuria
Cubero, Sergio
López-Chulia, Marina
Martínez-Onandi, Nerea
Blasco, José
Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title_full Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title_fullStr Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title_full_unstemmed Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title_short Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
title_sort using vis nir hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
topic Hyperspectral imaging
Vis/NIR
Q02 Food processing and preservation
Loquats
Prediction
Variety screening
url https://hdl.handle.net/20.500.11939/8935
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