Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network
In this work, we modeled the problem of detection of fruit and leaves in viticulture for proximal applications as a supervised machine learning task. We created and manually labeled a database of images obtained at Guaspari Winery. In total, the database consists of 11.883 images of bunch of grapes...
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| Format: | Online |
| Language: | English |
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Universidade Estadual de Campinas
2018
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| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/155 |
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| author | Santos, Andreza Aparecida dos Avila, Sandra Eliza Fontes de Santos, Thiago Teixeira dos |
| author_facet | Santos, Andreza Aparecida dos Avila, Sandra Eliza Fontes de Santos, Thiago Teixeira dos |
| author_sort | Santos, Andreza Aparecida dos |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 26 (2018): Congresso de Iniciação Científica Unicamp |
| description | In this work, we modeled the problem of detection of fruit and leaves in viticulture for proximal applications as a supervised machine learning task. We created and manually labeled a database of images obtained at Guaspari Winery. In total, the database consists of 11.883 images of bunch of grapes and leaves. We trained a convolutional network with YOLOv2 architecture to locate and classify bunch of grapes and leaves. Quantitative tests have shown results for detection and classification with precision of 100%, recall of 74,22% and F1-Score up to 85,2% for the class “grape”. Also, qualitative tests show that the model generalizes well when tested on photographs of other grape varieties. These results are promising and are moving towards the possibility of application in the field. |
| first_indexed | 2025-10-08T13:49:39Z |
| format | Online |
| id | ojs-article-155 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | eng |
| last_indexed | 2025-10-08T13:49:39Z |
| publishDate | 2018 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-1552025-09-26T14:32:30Z Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network Santos, Andreza Aparecida dos Avila, Sandra Eliza Fontes de Santos, Thiago Teixeira dos Fruit detection Viticulture Deep learning. In this work, we modeled the problem of detection of fruit and leaves in viticulture for proximal applications as a supervised machine learning task. We created and manually labeled a database of images obtained at Guaspari Winery. In total, the database consists of 11.883 images of bunch of grapes and leaves. We trained a convolutional network with YOLOv2 architecture to locate and classify bunch of grapes and leaves. Quantitative tests have shown results for detection and classification with precision of 100%, recall of 74,22% and F1-Score up to 85,2% for the class “grape”. Also, qualitative tests show that the model generalizes well when tested on photographs of other grape varieties. These results are promising and are moving towards the possibility of application in the field. Universidade Estadual de Campinas 2018-12-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/155 10.20396/revpibic262018155 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 26 (2018): Congresso de Iniciação Científica Unicamp 2596-1969 eng https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/155/61 Copyright (c) 2018 Andreza Aparecida dos Santos, Sandra Eliza Fontes de Avila http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Santos, Andreza Aparecida dos Avila, Sandra Eliza Fontes de Santos, Thiago Teixeira dos Fruit detection Viticulture Deep learning. Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title | Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title_full | Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title_fullStr | Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title_full_unstemmed | Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title_short | Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network |
| title_sort | automated detection of grapes and leaves in viticulture with a yolov2 neural network |
| topic | Fruit detection Viticulture Deep learning. |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/155 |
| work_keys_str_mv | AT santosandrezaaparecidados automateddetectionofgrapesandleavesinviticulturewithayolov2neuralnetwork AT avilasandraelizafontesde automateddetectionofgrapesandleavesinviticulturewithayolov2neuralnetwork AT santosthiagoteixeirados automateddetectionofgrapesandleavesinviticulturewithayolov2neuralnetwork |
