In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties
One of the most studied techniques for the non-destructive determination of the internal quality of fruits has been visible and near-infrared (VIS-NIR) reflectance spectroscopy. This work evaluates a new non-destructive in-line VIS-NIR spectroscopy prototype for in-line identification of five apple...
| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6282 https://link.springer.com/article/10.1007/s11947-019-02268-0 |
| _version_ | 1855032399336833024 |
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| author | Cortés, Victoria Cubero, Sergio Blasco, José Aleixos, Nuria |
| author_browse | Aleixos, Nuria Blasco, José Cortés, Victoria Cubero, Sergio |
| author_facet | Cortés, Victoria Cubero, Sergio Blasco, José Aleixos, Nuria |
| author_sort | Cortés, Victoria |
| collection | ReDivia |
| description | One of the most studied techniques for the non-destructive determination of the internal quality of fruits has been visible and near-infrared (VIS-NIR) reflectance spectroscopy. This work evaluates a new non-destructive in-line VIS-NIR spectroscopy prototype for in-line identification of five apple varieties, with the advantage that it allows the spectra to be captured with the probe at the same distance from all the fruits regardless of their size. The prototype was tested using varieties with a similar appearance by acquiring the diffuse reflectance spectrum of the fruits travelling on the conveyor belt at a speed of 0.81 m/s which is nearly 1 fruit/s. Principal component analysis (PCA) was used to determine the variables that explain the most variance in the spectra. Seven principal components were then used to perform linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA). QDA was found to be the best in-line classification method, achieving 98% and 85% success rates for red and yellow apple varieties, respectively. The results indicated that the in-line application of VIS-NIR spectroscopy that was developed is potentially feasible for the detection of apple varieties with an accuracy that is similar to or better than a laboratory system. |
| format | article |
| id | ReDivia6282 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | ReDivia62822025-04-25T14:46:44Z In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties Cortés, Victoria Cubero, Sergio Blasco, José Aleixos, Nuria Q01 Food science and technology Near infrared spectroscopy Quality controls Varieties Apples One of the most studied techniques for the non-destructive determination of the internal quality of fruits has been visible and near-infrared (VIS-NIR) reflectance spectroscopy. This work evaluates a new non-destructive in-line VIS-NIR spectroscopy prototype for in-line identification of five apple varieties, with the advantage that it allows the spectra to be captured with the probe at the same distance from all the fruits regardless of their size. The prototype was tested using varieties with a similar appearance by acquiring the diffuse reflectance spectrum of the fruits travelling on the conveyor belt at a speed of 0.81 m/s which is nearly 1 fruit/s. Principal component analysis (PCA) was used to determine the variables that explain the most variance in the spectra. Seven principal components were then used to perform linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA). QDA was found to be the best in-line classification method, achieving 98% and 85% success rates for red and yellow apple varieties, respectively. The results indicated that the in-line application of VIS-NIR spectroscopy that was developed is potentially feasible for the detection of apple varieties with an accuracy that is similar to or better than a laboratory system. 2019-12-12T09:09:23Z 2019-12-12T09:09:23Z 2019 article acceptedVersion Cortés, V., Cubero, S., Blasco, J., Aleixos, N., & Talens, 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. 1935-5130 http://hdl.handle.net/20.500.11939/6282 10.1007/s11947-019-02268-0 https://link.springer.com/article/10.1007/s11947-019-02268-0 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Springer electronico |
| spellingShingle | Q01 Food science and technology Near infrared spectroscopy Quality controls Varieties Apples Cortés, Victoria Cubero, Sergio Blasco, José Aleixos, Nuria In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title | In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title_full | In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title_fullStr | In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title_full_unstemmed | In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title_short | In-line Application of Visible and Near-Infrared Diffuse Reflectance Spectroscopy to Identify Apple Varieties |
| title_sort | in line application of visible and near infrared diffuse reflectance spectroscopy to identify apple varieties |
| topic | Q01 Food science and technology Near infrared spectroscopy Quality controls Varieties Apples |
| url | http://hdl.handle.net/20.500.11939/6282 https://link.springer.com/article/10.1007/s11947-019-02268-0 |
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