Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision
One problem in the post-harvest phase of apples is the mechanical impact damage. Its identification prevents quality issues during storage. The objective was to identify the wavelengths at which damage is detected early in apples of the 'Fuji' cultivar. Damage was simulated with a controlled stroke...
| Main Authors: | , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Facultad de Minas, Universidad Nacional de Colombia
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11939/6501 https://revistas.unal.edu.co/index.php/dyna/article/view/78605 |
| _version_ | 1855492096462422016 |
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| author | García-Navarrete, Óscar L. Cubero, Sergio Prats-Montalbán, José M. |
| author_browse | Cubero, Sergio García-Navarrete, Óscar L. Prats-Montalbán, José M. |
| author_facet | García-Navarrete, Óscar L. Cubero, Sergio Prats-Montalbán, José M. |
| author_sort | García-Navarrete, Óscar L. |
| collection | ReDivia |
| description | One problem in the post-harvest phase of apples is the mechanical impact damage. Its identification prevents quality issues during storage. The objective was to identify the wavelengths at which damage is detected early in apples of the 'Fuji' cultivar. Damage was simulated with a controlled stroke and taking hyperspectral images from 400 to 1700 nm. Three experiments were carried out at different temperatures (4 and 20 ° C) and with varying sampling times. It was found that the NIR zone ranging between 1050 and 1100 nm allows to classify healthy and bruised zones by means of a discriminant analysis by partial least squares (PLS-DA). Additionally, the evolution of the damage over time was not significant for the classification of the pixels (healthy and bruised classes), since bumps were detected in all three experiments from the first time. |
| format | Artículo |
| id | ReDivia6501 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Facultad de Minas, Universidad Nacional de Colombia |
| publisherStr | Facultad de Minas, Universidad Nacional de Colombia |
| record_format | dspace |
| spelling | ReDivia65012025-04-25T14:47:19Z Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision García-Navarrete, Óscar L. Cubero, Sergio Prats-Montalbán, José M. Hyperspectral images PLS-DA NIR N01 Agricultural engineering Spectroscopy One problem in the post-harvest phase of apples is the mechanical impact damage. Its identification prevents quality issues during storage. The objective was to identify the wavelengths at which damage is detected early in apples of the 'Fuji' cultivar. Damage was simulated with a controlled stroke and taking hyperspectral images from 400 to 1700 nm. Three experiments were carried out at different temperatures (4 and 20 ° C) and with varying sampling times. It was found that the NIR zone ranging between 1050 and 1100 nm allows to classify healthy and bruised zones by means of a discriminant analysis by partial least squares (PLS-DA). Additionally, the evolution of the damage over time was not significant for the classification of the pixels (healthy and bruised classes), since bumps were detected in all three experiments from the first time. 2020-06-04T15:47:46Z 2020-06-04T15:47:46Z 2018 article publishedVersion Navarrete, O. L. G., García, S. C., & Montalbán, J. M. P. (2019). Identification of mechanical damage in the'Fuji'apple cv. using artificial hyperspectral vision. DYNA, 86(210), 224-232. 2346-2183 0012-7353 http://hdl.handle.net/20.500.11939/6501 10.15446/dyna.v86n210.78605 https://revistas.unal.edu.co/index.php/dyna/article/view/78605 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Facultad de Minas, Universidad Nacional de Colombia electronico |
| spellingShingle | Hyperspectral images PLS-DA NIR N01 Agricultural engineering Spectroscopy García-Navarrete, Óscar L. Cubero, Sergio Prats-Montalbán, José M. Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title | Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title_full | Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title_fullStr | Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title_full_unstemmed | Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title_short | Identification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral vision |
| title_sort | identification of mechanical damage in the fuji apple cv using artificial hyperspectral vision |
| topic | Hyperspectral images PLS-DA NIR N01 Agricultural engineering Spectroscopy |
| url | http://hdl.handle.net/20.500.11939/6501 https://revistas.unal.edu.co/index.php/dyna/article/view/78605 |
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