Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1074
Full metadata record
DC FieldValueLanguage
dc.contributor.authorÖrnek, Mustafa Nevzat-
dc.contributor.authorHacıseferoğullari, H.-
dc.date.accessioned2021-12-13T10:34:39Z-
dc.date.available2021-12-13T10:34:39Z-
dc.date.issued2020-
dc.identifier.issn1308-7576-
dc.identifier.urihttps://doi.org/10.29133/yyutbd.685425-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/1074-
dc.description.abstractKasınhanı district of Konya province has the greatest carrot production in Turkey. By the year 2017, Konya Province has approximately 46.5% of carrot production areas and 59.7% of total production. There are several washing and packing facilities in the region. These facilities show totally similar features and fully satisfy the needs of the region. Carrots coming from the washing pools come firstly to the mechanical grading machines and then to the packing department or directly to the packing department in some facilities. Grading and packing processes are carried out manually in these facilities. The classification efficiency of mechanical classification machines is known to be insufficient. In this study, mechanical, electronic and software sections of the real-time image processing machine are explained. The system was composed of a belt conveyor, cameras and closed chamber to receive images, image processing and control computer and routing covers attached to servo motors. As a result of the experiments, carrot classification rates ranged from 80.14 to 100% in real-time image processing machine. © 2020, Centenary University. All rights reserved.en_US
dc.description.sponsorship1110123en_US
dc.description.sponsorshipThis study was supported by Selcuk University Scientific Research Projects Department (Project ID: 1110123).en_US
dc.language.isoenen_US
dc.publisherCentenary Universityen_US
dc.relation.ispartofYuzuncu Yil University Journal of Agricultural Sciencesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAgricultural automationen_US
dc.subjectCarroten_US
dc.subjectFruit classificationen_US
dc.subjectImage processingen_US
dc.subjectReal-timeen_US
dc.titleDesign of real time image processing machine for carrot classificationen_US
dc.title.alternativeHavuç sınıflandırması için gerçek zamanlı görüntü işleme makinesi tasarımıen_US
dc.typeArticleen_US
dc.identifier.doi10.29133/yyutbd.685425-
dc.identifier.scopus2-s2.0-85086660646en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.identifier.volume30en_US
dc.identifier.issue2en_US
dc.identifier.startpage355en_US
dc.identifier.endpage366en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid56031369800-
dc.authorscopusid6603190190-
dc.identifier.scopusqualityQ3-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept07. 16. Department of Machinery and Metal Technologies-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
Files in This Item:
File SizeFormat 
10.29133-yyutbd.685425-1156992.pdf1.31 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

1
checked on Mar 23, 2024

Page view(s)

94
checked on Mar 25, 2024

Download(s)

46
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.