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Development and evaluation of a small-scale apple sorting machine equipped with a smart vision system

2023Journal article Open access
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dc.contributor.authorBaneh, Nesar Mohammadi
dc.contributor.authorNavid, Hossein
dc.contributor.authorKafashan, Jalal
dc.contributor.authorFouladi, Hatef
dc.contributor.authorGonzales-Barron, Ursula
dc.date.accessioned2014-09-25T16:25:38Z
dc.date.available2014-09-25T16:25:38Z
dc.date.issued2023
dc.description.abstractOne of the most important matters in international trades for many local apple industries and auctions is accurate fruit quality classification. Defect recognition is a key in online computer-assisted apple sorting machines. Because of the cavity structure of the stem and calyx regions, the system tends to mistakenly treat them as true defects. Furthermore, there is no small-scale sorting machine with a smart vision system for apple quality classification where it is needed. Thus, the current study focuses on a highly accurate and feasible methodology for stem and calyx recognition based on Niblack thresholding and a machine learning technique using k-nearest neighbor (k-NN) classifiers associated with a locally designed small-scale apple sorting machine. To find an appropriate mode, the effects of different numbers of k and metric distances on stem and calyx region detection were evaluated. Results showed the effectiveness of the value of k and Euclidean distances in recognition accuracy. It is found that the 5-nearest neighbor classifier and the Euclidean distance using 80 training samples produced the best accuracy rates, at 100% for stem and 97.5% for calyx. The significance of the result is very promising in fabricating an advanced small-scale and low-cost sorting machine with a high accuracy for the horticultural industry.por
dc.identifier.citationBaneh, Nesar Mohammadi; Navid, Hossein; Kafashan, Jalal; Fouladi, Hatef; Gonzales-Barron, Ursula (2023). Development and evaluation of a small-scale apple sorting machine equipped with a smart vision system. AgriEngineering. eISSN 2624-7402. 5:1, p. 1-15por
dc.identifier.doi10.3390/agriengineering5010031
dc.identifier.eissn2624-7402
dc.identifier.urihttp://hdl.handle.net/10198/10608
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherMDPI
dc.subjectApple sorting
dc.subjectBruise
dc.subjectClassification
dc.subjectComputer vision
dc.subjectk-NN classifier
dc.titleDevelopment and evaluation of a small-scale apple sorting machine equipped with a smart vision systempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleAgriEngineeringpor
person.familyNameGonzales-Barron
person.givenNameUrsula
person.identifier.ciencia-id0813-C319-B62A
person.identifier.orcid0000-0002-8462-9775
person.identifier.scopus-author-id9435483700
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication17c6b98f-4fb5-41d3-839a-6f77ec70021a
relation.isAuthorOfPublication.latestForDiscovery17c6b98f-4fb5-41d3-839a-6f77ec70021a

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