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Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform

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Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform

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Cubero García, S.; Aleixos Borrás, MN.; Albert Gil, FE.; Torregrosa, A.; Ortiz Sánchez, MC.; García Navarrete, OL.; Blasco Ivars, J. (2014). Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform. Precision Agriculture. 15(1):80-94. doi:10.1007/s11119-013-9324-7

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/77668

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Title: Optimised computer vision system for automatic pre-grading of citrus fruit in the field using a mobile platform
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
Issued date:
Abstract:
The mechanisation and automation of citrus harvesting is considered to be one of the best options to reduce production costs. Computer vision technology has been shown to be a useful tool for fresh fruit and vegetable ...[+]
Subjects: Assisted harvesting , Mobile platform , Machine vision , Smart camera , Fruit pre-grading , Citrus fruits
Copyrigths: Reserva de todos los derechos
Source:
Precision Agriculture. (issn: 1385-2256 ) (eissn: 1573-1618 )
DOI: 10.1007/s11119-013-9324-7
Publisher:
Springer Verlag
Publisher version: http://dx.doi. org/10.1007/s11119-013-9324-7
Thanks:
This research work has been funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA) and the European FEDER funds (projects RTA2009-00118-C02-01 and RTA2009-00118-C02-02). The ...[+]
Type: Artículo

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