A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis

The berry size of wine-grapes has often been considered to influence wine composition and quality, as it is related to the skin-to-pulp ratio of the berry and the concentration of skin-located compounds that play a key role in the wine quality. The size and weight of wine-grapes are usually measured...

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Autores principales: Cubero, Sergio, Diago-Santamaría, María P., Blasco, José, Tardáguila, Javier, Millan, Borja, Aleixos, Nuria
Formato: article
Lenguaje:Inglés
Publicado: 2017
Acceso en línea:http://hdl.handle.net/20.500.11939/5065
https://www.sciencedirect.com/science/article/abs/pii/S1537511013000950?via%3Dihub
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author Cubero, Sergio
Diago-Santamaría, María P.
Blasco, José
Tardáguila, Javier
Millan, Borja
Aleixos, Nuria
author_browse Aleixos, Nuria
Blasco, José
Cubero, Sergio
Diago-Santamaría, María P.
Millan, Borja
Tardáguila, Javier
author_facet Cubero, Sergio
Diago-Santamaría, María P.
Blasco, José
Tardáguila, Javier
Millan, Borja
Aleixos, Nuria
author_sort Cubero, Sergio
collection ReDivia
description The berry size of wine-grapes has often been considered to influence wine composition and quality, as it is related to the skin-to-pulp ratio of the berry and the concentration of skin-located compounds that play a key role in the wine quality. The size and weight of wine-grapes are usually measured by hand, making it a slow, tedious and inaccurate process. This paper focuses on two main objectives aimed at automating this process using image analysis: (1) to develop a fast and accurate method for detecting and removing the pedicel in images of berries, and (2) to accurately determine the size and weight of the berry. A method to detect the peduncle of fruits is presented based on a novel signature of the contour. This method has been developed specifically for grapevine berries, and was later extended and tested with an independent set of other fruits with different shapes and sizes such as peppers, pears, apples or mandarins. Using this approach, the system has been capable of correctly estimating the berry weight (R2 > 0.96) and size (R2 > 0.97) of wine-grapes and of assessing the size of other fruits like mandarins, apples, pears and red peppers (R2 > 0.93). The proven performance of the image analysis methodology developed may be easily implemented in automated inspection systems to accurately estimate the weight of a wide range of fruits including wine-grapes. In this case, the implementation of this system on sorting tables after de-stemming may provide the winemaker with very useful information about the potential quality of the wine.
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spelling ReDivia50652025-04-25T14:45:17Z A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis Cubero, Sergio Diago-Santamaría, María P. Blasco, José Tardáguila, Javier Millan, Borja Aleixos, Nuria The berry size of wine-grapes has often been considered to influence wine composition and quality, as it is related to the skin-to-pulp ratio of the berry and the concentration of skin-located compounds that play a key role in the wine quality. The size and weight of wine-grapes are usually measured by hand, making it a slow, tedious and inaccurate process. This paper focuses on two main objectives aimed at automating this process using image analysis: (1) to develop a fast and accurate method for detecting and removing the pedicel in images of berries, and (2) to accurately determine the size and weight of the berry. A method to detect the peduncle of fruits is presented based on a novel signature of the contour. This method has been developed specifically for grapevine berries, and was later extended and tested with an independent set of other fruits with different shapes and sizes such as peppers, pears, apples or mandarins. Using this approach, the system has been capable of correctly estimating the berry weight (R2 > 0.96) and size (R2 > 0.97) of wine-grapes and of assessing the size of other fruits like mandarins, apples, pears and red peppers (R2 > 0.93). The proven performance of the image analysis methodology developed may be easily implemented in automated inspection systems to accurately estimate the weight of a wide range of fruits including wine-grapes. In this case, the implementation of this system on sorting tables after de-stemming may provide the winemaker with very useful information about the potential quality of the wine. 2017-06-01T10:11:38Z 2017-06-01T10:11:38Z 2014 JAN 2014 article acceptedVersion Cubero, Sergio, Diago, M. Paz, Blasco, J., Tardaguila, J., Millan, Borja, Aleixos, N. (2014). A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis. Biosystems Engineering, 117, 62-72. 1537-5110 http://hdl.handle.net/20.500.11939/5065 10.1016/j.biosystemseng.2013.06.007 https://www.sciencedirect.com/science/article/abs/pii/S1537511013000950?via%3Dihub en openAccess Impreso
spellingShingle Cubero, Sergio
Diago-Santamaría, María P.
Blasco, José
Tardáguila, Javier
Millan, Borja
Aleixos, Nuria
A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title_full A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title_fullStr A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title_full_unstemmed A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title_short A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis
title_sort new method for pedicel peduncle detection and size assessment of grapevine berries and other fruits by image analysis
url http://hdl.handle.net/20.500.11939/5065
https://www.sciencedirect.com/science/article/abs/pii/S1537511013000950?via%3Dihub
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