Measurement of the colour index of early-season citrus fruits using computer vision
Aspect and colour of food surface is one of the first quality parameters evaluated by consumers and it is a key factor in the acceptance of a particular product for the consumers. In the Mediterranean area, early-season citrus fruit reach acceptable internal maturity standards for marketing, while t...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/7587 |
| _version_ | 1855492314341834752 |
|---|---|
| author | Vidal, Anna Blasco, José Prats-Montalbán, José M. Cubero, Sergio Aleixos, Nuria Juste, Florentino Talens, Pau |
| author_browse | Aleixos, Nuria Blasco, José Cubero, Sergio Juste, Florentino Prats-Montalbán, José M. Talens, Pau Vidal, Anna |
| author_facet | Vidal, Anna Blasco, José Prats-Montalbán, José M. Cubero, Sergio Aleixos, Nuria Juste, Florentino Talens, Pau |
| author_sort | Vidal, Anna |
| collection | ReDivia |
| description | Aspect and colour of food surface is one of the first quality parameters evaluated by consumers and it is a key factor in the acceptance of a particular product for the consumers. In the Mediterranean area, early-season citrus fruit reach acceptable internal maturity standards for marketing, while the skin of the fruit is still green. A degreening treatment is widely used as a postharvest practice to improve the external colour. This treatment depends on the initial colour of the fruit. Therefore, an application where the inspection of the colour is needed is the assessment of these citrus fruits in order to determine accurately the colour of the citrus at harvest. The classification to determine if the fruit needs to be treated for degreening is based on the citrus colour index (CCI). In this work, the potential for the in-line CCI assessment of an industrial computer vision system is studied and compared with two other devices; a characterized computer vision system and a spectrocolorimeter used as reference in the analysis of colour on food. The results obtained prove that the industrial computer vision system predicts the colour index of citrus with a good reliability (R2 = 0.975) and is effective for classification of the fruit according to its colour. |
| format | Objeto de conferencia |
| id | ReDivia7587 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | ReDivia75872025-04-25T14:53:07Z Measurement of the colour index of early-season citrus fruits using computer vision Vidal, Anna Blasco, José Prats-Montalbán, José M. Cubero, Sergio Aleixos, Nuria Juste, Florentino Talens, Pau Colour analysis Machine vision N01 Agricultural engineering Q01 Food science and technology U30 Research methods Citrus fruits Degreening Aspect and colour of food surface is one of the first quality parameters evaluated by consumers and it is a key factor in the acceptance of a particular product for the consumers. In the Mediterranean area, early-season citrus fruit reach acceptable internal maturity standards for marketing, while the skin of the fruit is still green. A degreening treatment is widely used as a postharvest practice to improve the external colour. This treatment depends on the initial colour of the fruit. Therefore, an application where the inspection of the colour is needed is the assessment of these citrus fruits in order to determine accurately the colour of the citrus at harvest. The classification to determine if the fruit needs to be treated for degreening is based on the citrus colour index (CCI). In this work, the potential for the in-line CCI assessment of an industrial computer vision system is studied and compared with two other devices; a characterized computer vision system and a spectrocolorimeter used as reference in the analysis of colour on food. The results obtained prove that the industrial computer vision system predicts the colour index of citrus with a good reliability (R2 = 0.975) and is effective for classification of the fruit according to its colour. 2021-09-02T10:07:18Z 2021-09-02T10:07:18Z 2012 conferenceObject Vidal, A., Blasco, J., Prats, J. M., Cubero, S., Aleixos, N., Juste, F. et al. (2012). Measurement of the colour index of early-season citrus fruits using computer vision. CIGR-Ageng Conference 2012, 6p. http://hdl.handle.net/20.500.11939/7587 en 2012-07 International Conference of Agricultural Engineering - CIGR-AgEng 2012 València, España This work was partially funded by the INIA through research project RTA2009-00118-C02-01, the MICINN through research project DPI2010-19457, both projects with the support of European FEDER funds, and with the project PAID-05-11-2745 funded by Vicerectorat d’Investigació, Universitat Politècnica de València. Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess electronico |
| spellingShingle | Colour analysis Machine vision N01 Agricultural engineering Q01 Food science and technology U30 Research methods Citrus fruits Degreening Vidal, Anna Blasco, José Prats-Montalbán, José M. Cubero, Sergio Aleixos, Nuria Juste, Florentino Talens, Pau Measurement of the colour index of early-season citrus fruits using computer vision |
| title | Measurement of the colour index of early-season citrus fruits using computer vision |
| title_full | Measurement of the colour index of early-season citrus fruits using computer vision |
| title_fullStr | Measurement of the colour index of early-season citrus fruits using computer vision |
| title_full_unstemmed | Measurement of the colour index of early-season citrus fruits using computer vision |
| title_short | Measurement of the colour index of early-season citrus fruits using computer vision |
| title_sort | measurement of the colour index of early season citrus fruits using computer vision |
| topic | Colour analysis Machine vision N01 Agricultural engineering Q01 Food science and technology U30 Research methods Citrus fruits Degreening |
| url | http://hdl.handle.net/20.500.11939/7587 |
| work_keys_str_mv | AT vidalanna measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT blascojose measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT pratsmontalbanjosem measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT cuberosergio measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT aleixosnuria measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT justeflorentino measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision AT talenspau measurementofthecolourindexofearlyseasoncitrusfruitsusingcomputervision |