Review: computer vision applied to the inspection and quality control of fruits and vegetables
This is a review of the current existing literature concerning the inspection of fruits and vegetables with the application of computer vision, where the techniques most used to estimate various properties related to quality are analyzed. The objectives of the typical applications of such systems include the classification, quality estimation according to the internal and external characteristics, supervision of fruit processes during storage or the evaluation of experimental treatments. In general, computer vision systems do not only replace manual inspection, but can also improve their skills. In conclusion, computer vision systems are powerful tools for the automatic inspection of fruits and vegetables. In addition, the development of such systems adapted to the food industry is fundamental to achieve competitive advantages.
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Format: | Digital revista |
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Instituto de Tecnologia de Alimentos - ITAL
2013
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oai:scielo:S1981-672320130004000022014-01-08Review: computer vision applied to the inspection and quality control of fruits and vegetablesSaldaña,ErickSiche,RaúlLuján,MarianoQuevedo,Roberto Computer vision Image analysis Automatic inspection Quality control Real time This is a review of the current existing literature concerning the inspection of fruits and vegetables with the application of computer vision, where the techniques most used to estimate various properties related to quality are analyzed. The objectives of the typical applications of such systems include the classification, quality estimation according to the internal and external characteristics, supervision of fruit processes during storage or the evaluation of experimental treatments. In general, computer vision systems do not only replace manual inspection, but can also improve their skills. In conclusion, computer vision systems are powerful tools for the automatic inspection of fruits and vegetables. In addition, the development of such systems adapted to the food industry is fundamental to achieve competitive advantages.info:eu-repo/semantics/openAccessInstituto de Tecnologia de Alimentos - ITALBrazilian Journal of Food Technology v.16 n.4 20132013-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1981-67232013000400002en10.1590/S1981-67232013005000031 |
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Saldaña,Erick Siche,Raúl Luján,Mariano Quevedo,Roberto |
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Saldaña,Erick Siche,Raúl Luján,Mariano Quevedo,Roberto Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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Saldaña,Erick Siche,Raúl Luján,Mariano Quevedo,Roberto |
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Saldaña,Erick |
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Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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Review: computer vision applied to the inspection and quality control of fruits and vegetables |
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review: computer vision applied to the inspection and quality control of fruits and vegetables |
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This is a review of the current existing literature concerning the inspection of fruits and vegetables with the application of computer vision, where the techniques most used to estimate various properties related to quality are analyzed. The objectives of the typical applications of such systems include the classification, quality estimation according to the internal and external characteristics, supervision of fruit processes during storage or the evaluation of experimental treatments. In general, computer vision systems do not only replace manual inspection, but can also improve their skills. In conclusion, computer vision systems are powerful tools for the automatic inspection of fruits and vegetables. In addition, the development of such systems adapted to the food industry is fundamental to achieve competitive advantages. |
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Instituto de Tecnologia de Alimentos - ITAL |
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2013 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1981-67232013000400002 |
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