Application of computer vision systems for assessing bergamot fruit external features
Bergamot Citrus x bergamia Risso & Poiteau is an emblematic Citrus species of Reggio Calabria province (Southern Italy) where more than 90% of the global production thrives. The present work deals with the use of a non-destructive technique based on a computer vision systems to evaluate bergamo...
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| Format: | Article |
| Language: | English |
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Firenze University Press
2023-05-01
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| Series: | Advances in Horticultural Science |
| Subjects: | |
| Online Access: | https://oaj.fupress.net/index.php/ahs/article/view/13911 |
| _version_ | 1797829287624048640 |
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| author | Souraya Benalia Vittorio Calogero Matteo Anello Giuseppe Zimbalatti Bruno Bernardi |
| author_facet | Souraya Benalia Vittorio Calogero Matteo Anello Giuseppe Zimbalatti Bruno Bernardi |
| author_sort | Souraya Benalia |
| collection | DOAJ |
| description |
Bergamot Citrus x bergamia Risso & Poiteau is an emblematic Citrus species of Reggio Calabria province (Southern Italy) where more than 90% of the global production thrives. The present work deals with the use of a non-destructive technique based on a computer vision systems to evaluate bergamot fruit peel colour, as well as dimensional features. To this purpose, experimental trials considered three bergamot cultivars, namely: ‘Femminello’, ‘Castagnaro’ and ‘Fantastico’. Bergamot fruit RGB images were taken using a laboratory inspection chamber equipped with a lighting system and a digital camera Nikon D5200 directly connected to a personal computer, to enable remote image acquisition. First, images were pre-processed according to a previously created colour profile. After that, bergamot fruit colour was analysed and expressed in terms of Hunter L, a, and b coordinates, which were used to calculate Standard Citrus Colour Index (CCI). In addition, dimensional features and shape descriptors were measured for each cultivar. Statistical data analysis, by applying the Kruskal-Wallis test at p<0.05 on CCI data highlighted significant differences between the assessed cultivars, and discriminant analysis (LDA) applied on CCI and dimensional features enabled a classification rate of 78.86% between cultivars, proving the reliability of computer vision techniques in assessing bergamot external features..
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| first_indexed | 2024-04-09T13:18:07Z |
| format | Article |
| id | doaj.art-a216690c78644291bb2056a2edd6eb76 |
| institution | Directory Open Access Journal |
| issn | 0394-6169 1592-1573 |
| language | English |
| last_indexed | 2024-04-09T13:18:07Z |
| publishDate | 2023-05-01 |
| publisher | Firenze University Press |
| record_format | Article |
| series | Advances in Horticultural Science |
| spelling | doaj.art-a216690c78644291bb2056a2edd6eb762023-05-11T14:31:52ZengFirenze University PressAdvances in Horticultural Science0394-61691592-15732023-05-01371Application of computer vision systems for assessing bergamot fruit external featuresSouraya Benalia0Vittorio Calogero1Matteo Anello2Giuseppe Zimbalatti3Bruno Bernardi4Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, snc, 89122 Reggio di Calabria (RC), Italy.Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, snc, 89122 Reggio di Calabria (RC), Italy.Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, snc, 89122 Reggio di Calabria (RC), Italy.Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, snc, 89122 Reggio di Calabria (RC), Italy.Dipartimento di Agraria, Università degli Studi Mediterranea di Reggio Calabria, Località Feo di Vito, snc, 89122 Reggio di Calabria (RC), Italy. Bergamot Citrus x bergamia Risso & Poiteau is an emblematic Citrus species of Reggio Calabria province (Southern Italy) where more than 90% of the global production thrives. The present work deals with the use of a non-destructive technique based on a computer vision systems to evaluate bergamot fruit peel colour, as well as dimensional features. To this purpose, experimental trials considered three bergamot cultivars, namely: ‘Femminello’, ‘Castagnaro’ and ‘Fantastico’. Bergamot fruit RGB images were taken using a laboratory inspection chamber equipped with a lighting system and a digital camera Nikon D5200 directly connected to a personal computer, to enable remote image acquisition. First, images were pre-processed according to a previously created colour profile. After that, bergamot fruit colour was analysed and expressed in terms of Hunter L, a, and b coordinates, which were used to calculate Standard Citrus Colour Index (CCI). In addition, dimensional features and shape descriptors were measured for each cultivar. Statistical data analysis, by applying the Kruskal-Wallis test at p<0.05 on CCI data highlighted significant differences between the assessed cultivars, and discriminant analysis (LDA) applied on CCI and dimensional features enabled a classification rate of 78.86% between cultivars, proving the reliability of computer vision techniques in assessing bergamot external features.. https://oaj.fupress.net/index.php/ahs/article/view/13911Aspect ratioCitrus x bergamia Risso & Poiteaucitrus colour index (CCI)dimensionsHunterLabimaging |
| spellingShingle | Souraya Benalia Vittorio Calogero Matteo Anello Giuseppe Zimbalatti Bruno Bernardi Application of computer vision systems for assessing bergamot fruit external features Advances in Horticultural Science Aspect ratio Citrus x bergamia Risso & Poiteau citrus colour index (CCI) dimensions HunterLab imaging |
| title | Application of computer vision systems for assessing bergamot fruit external features |
| title_full | Application of computer vision systems for assessing bergamot fruit external features |
| title_fullStr | Application of computer vision systems for assessing bergamot fruit external features |
| title_full_unstemmed | Application of computer vision systems for assessing bergamot fruit external features |
| title_short | Application of computer vision systems for assessing bergamot fruit external features |
| title_sort | application of computer vision systems for assessing bergamot fruit external features |
| topic | Aspect ratio Citrus x bergamia Risso & Poiteau citrus colour index (CCI) dimensions HunterLab imaging |
| url | https://oaj.fupress.net/index.php/ahs/article/view/13911 |
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