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

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

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dc.contributor.author Cubero García, Sergio es_ES
dc.contributor.author Diago, María Paz es_ES
dc.contributor.author Blasco Ivars, José es_ES
dc.contributor.author Tardáguila Laso, Javier es_ES
dc.contributor.author Millán, Borja es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.date.accessioned 2015-06-24T10:13:19Z
dc.date.available 2015-06-24T10:13:19Z
dc.date.issued 2014-01
dc.identifier.issn 1537-5110
dc.identifier.uri http://hdl.handle.net/10251/52197
dc.description.abstract [EN] 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 (R-2 > 0.96) and size (R-2 > 0.97) of wine-grapes and of assessing the size of other fruits like mandarins, apples, pears and red peppers (R-2 > 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. es_ES
dc.description.sponsorship This work has been partially funded by the Instituto Nacional de Investigacio´n y Tecnologı´a Agraria y Alimentaria de Espan˜ a (INIA) through research project RTA2012-00062-C04-01 and RTA2012-00062-C04-03 with the support of European FEDER funds, by the UPV-IVIA collaboration agreement through UPV2013000005, and by UPV-SP10120276 Project.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation INIA/RTA2012-00062-C04-01 es_ES
dc.relation UPV-IVIA/UPV- 2013000005 es_ES
dc.relation UPV-IVIA/UPV-SP10120276
dc.relation INIA/RTA2012-00062-C04-03
dc.relation.ispartof Biosystems Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Machine vision system es_ES
dc.subject Computer vision es_ES
dc.subject Wine composition es_ES
dc.subject Quality es_ES
dc.subject Classification es_ES
dc.subject Identification es_ES
dc.subject Yield es_ES
dc.subject Inspection es_ES
dc.subject Robot es_ES
dc.subject Area es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.1016/j.biosystemseng.2013.06.007
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Cubero García, S.; Diago, MP.; Blasco Ivars, J.; Tardáguila Laso, J.; Millán, B.; Aleixos Borrás, MN. (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. doi:10.1016/j.biosystemseng.2013.06.007 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 4th International Workshop on Computer Image Analysis in Agriculture, held at CIGR-AgEng
dc.relation.conferencedate July 08-12, 2012
dc.relation.conferenceplace Valencia, Spain
dc.relation.publisherversion http://dx.doi.org/10.1016/j.biosystemseng.2013.06.007 es_ES
dc.description.upvformatpinicio 62 es_ES
dc.description.upvformatpfin 72 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 117 es_ES
dc.relation.senia 246262
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
dc.contributor.funder Universitat Politècnica de València
dc.contributor.funder Institut Valencià d'Investigacions Agràries


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