Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit
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 tissue and are directly related to its chemical composition and physical characterist...
| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
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Elsevier
2023
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| Acceso en línea: | https://hdl.handle.net/20.500.11939/8727 https://www.sciencedirect.com/science/article/abs/pii/S0260877423002716?via%3Dihub |
| _version_ | 1855032843411914752 |
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| author | García-García, José Rodríguez-Ortega, Alejandro Aleixos, Nuria Blasco, José Albert, Francisco Munera, Sandra |
| author_browse | Albert, Francisco Aleixos, Nuria Blasco, José García-García, José Munera, Sandra Rodríguez-Ortega, Alejandro |
| author_facet | García-García, José Rodríguez-Ortega, Alejandro Aleixos, Nuria Blasco, José Albert, Francisco Munera, Sandra |
| author_sort | García-García, José |
| collection | ReDivia |
| description | 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 tissue and are directly related to its chemical composition and physical characteristics. These properties are influenced by other extrinsic factors, such as the instrumentation or the light source, which can reduce the reproducibility of the experiments. Determining the actual depth of light penetration into tissue could help validate non-contact methods as accurate tools to assess quality properties based on optical properties. In the case of HSI systems, it is crucial to know how far the light penetrates at each wavelength. A non-destructive approach, based on the spatially resolved spectroscopic principle, was proposed to estimate the light penetration depth of a HSI system in a Vis-NIR configuration (in the range 450–1050 nm). This method was applied to measure the light penetration depth in persimmon fruit. The absorption (μa) and scattering (μ's) coefficients from Farrell's diffusion theory were estimated using the backscattered light measured at different distances from the incident point light at each wavelength in hyperspectral images of persimmon fruit. The actual light penetration depth was obtained by measuring the reflectance of cut pieces of persimmon fruit with different thicknesses. Linear regression was used to relate the depth of penetrability obtained by both protocols, the estimated or non-destructive protocol and the actual or destructive protocol, showing a high relationship (R2 > 0.8 and RPD>2.5) in the range 610–1050 nm. This confirms that this non-destructive approach proposed for estimating the light penetration depth of a Vis-NIR HSI system in persimmon fruit is accurate, so it could be used as a valuable method to evaluate other HSI systems for different fruits. |
| format | article |
| id | ReDivia8727 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | ReDivia87272025-04-25T14:49:23Z Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit García-García, José Rodríguez-Ortega, Alejandro Aleixos, Nuria Blasco, José Albert, Francisco Munera, Sandra Hyperspectral imaging Fruit quality Non-invasive techniques Q01 Food science and technology Q04 Food composition U30 Research methods N20 Agricultural machinery and equipment Food quality Analytical methods Diospyros kaki Chemical composition Reflectance Computer vision 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 tissue and are directly related to its chemical composition and physical characteristics. These properties are influenced by other extrinsic factors, such as the instrumentation or the light source, which can reduce the reproducibility of the experiments. Determining the actual depth of light penetration into tissue could help validate non-contact methods as accurate tools to assess quality properties based on optical properties. In the case of HSI systems, it is crucial to know how far the light penetrates at each wavelength. A non-destructive approach, based on the spatially resolved spectroscopic principle, was proposed to estimate the light penetration depth of a HSI system in a Vis-NIR configuration (in the range 450–1050 nm). This method was applied to measure the light penetration depth in persimmon fruit. The absorption (μa) and scattering (μ's) coefficients from Farrell's diffusion theory were estimated using the backscattered light measured at different distances from the incident point light at each wavelength in hyperspectral images of persimmon fruit. The actual light penetration depth was obtained by measuring the reflectance of cut pieces of persimmon fruit with different thicknesses. Linear regression was used to relate the depth of penetrability obtained by both protocols, the estimated or non-destructive protocol and the actual or destructive protocol, showing a high relationship (R2 > 0.8 and RPD>2.5) in the range 610–1050 nm. This confirms that this non-destructive approach proposed for estimating the light penetration depth of a Vis-NIR HSI system in persimmon fruit is accurate, so it could be used as a valuable method to evaluate other HSI systems for different fruits. 2023-10-17T07:17:34Z 2023-10-17T07:17:34Z 2023 article publishedVersion Rodríguez-Ortega, A., Aleixos, N., Blasco, J., Albert, F. & 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, 111673. 0260-8774 (Print ISSN) 1873-5770 (Online ISSN) https://hdl.handle.net/20.500.11939/8727 10.1016/j.jfoodeng.2023.111673 https://www.sciencedirect.com/science/article/abs/pii/S0260877423002716?via%3Dihub en info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-107347RR-C31/ES/INSPECCION NO DESTRUCTIVA Y PREDICCION DE LA CALIDAD INTERNA Y PROPIEDADES DE LAS FRUTAS MEDIANTE ESPECTROSCOPIA VIS-NIR Y MODELOS BASADOS EN APRENDIZAJE PROFUNDO info:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-107347RR-C32/ES/INSPECCION Y PREDICCION NO DESTRUCTIVA DE CALIDAD INTERNA Y PROPIEDADES DE FRUTAS UTILIZANDO IMAGEN HIPERESPECTRAL VIS/NIR UTILIZANDO MODELOS BASADOS EN APRENDIZAJE PROFUNDO This work was co-funded by the projects AEI PID 2019-107347RR-C31 and PID 2019-107347RR-C32, and GVA-PROMETEO CIPROM/2021/014. Sandra Munera thanks the postdoctoral contract Juan de la Cierva-Formación (FJC2021-047786-I) co-funded by MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess Elsevier electronico |
| spellingShingle | Hyperspectral imaging Fruit quality Non-invasive techniques Q01 Food science and technology Q04 Food composition U30 Research methods N20 Agricultural machinery and equipment Food quality Analytical methods Diospyros kaki Chemical composition Reflectance Computer vision García-García, José Rodríguez-Ortega, Alejandro Aleixos, Nuria Blasco, José Albert, Francisco Munera, Sandra Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title_full | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title_fullStr | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title_full_unstemmed | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title_short | Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit |
| title_sort | study of light penetration depth of a vis nir hyperspectral imaging system for the assessment of fruit quality a case study in persimmon fruit |
| topic | Hyperspectral imaging Fruit quality Non-invasive techniques Q01 Food science and technology Q04 Food composition U30 Research methods N20 Agricultural machinery and equipment Food quality Analytical methods Diospyros kaki Chemical composition Reflectance Computer vision |
| url | https://hdl.handle.net/20.500.11939/8727 https://www.sciencedirect.com/science/article/abs/pii/S0260877423002716?via%3Dihub |
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