Classification of Siirt and long type pistachios (pistacia vera l.) by artificial neural networks

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dc.authorid0000-0003-0238-9606en_US
dc.contributor.authorSabancı, Kadir
dc.contributor.authorKöklü, Murat
dc.contributor.authorÜnlersen, Muhammed Fahri
dc.date.accessioned2019-12-06T18:54:04Z
dc.date.available2019-12-06T18:54:04Z
dc.date.issued2015
dc.departmentKMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractQuality is one of the important factors in agricultural products marketing. Grading machines have great role in quality control systems. The most efficient method used in grading machines today is image processing. This study aims to do the grading of high valued agricultural product of our land called pistachio that has two different types namely Siirt and Long type of pistachios by image processing methods and artificial neural networks. Photos of Siirt and long type of pistachios are taken by a Webcam with CCD sensor. These photos were converted to gray scale in Matlab. Afterwards, these photos were converted to binary photo format using Otsu’s Method. Then this data was used to train multi-layered neural network to complete grading. Matlab was used for both image processing and artificial neural networks. Successes of the grading with image processing and artificial neural networks for mixed type pistachios Siirt and Long were researched.en_US
dc.description.abstractQuality is one of the important factors in agricultural products marketing. Grading machines have great role in quality control systems. The most efficient method used in grading machines today is image processing. This study aims to do the grading of high valued agricultural product of our land called pistachio that has two different types namely Siirt and Long type of pistachios by image processing methods and artificial neural networks. Photos of Siirt and long type of pistachios are taken by a Webcam with CCD sensor. These photos were converted to gray scale in Matlab. Afterwards, these photos were converted to binary photo format using Otsu’s Method. Then this data was used to train multi-layered neural network to complete grading. Matlab was used for both image processing and artificial neural networks. Successes of the grading with image processing and artificial neural networks for mixed type pistachios Siirt and Long were researched.en_US
dc.identifier.citationSabancı, K., Köklü, M., Ünlersen, M. F. (2015). Classification of Siirt and long type pistachios (pistacia vera l.) by artificial neural networks. International Journal of Intelligent Systems and Applications in Engineering, 3, 2, 86.
dc.identifier.endpage89en_US
dc.identifier.issn2147-6799
dc.identifier.issue2en_US
dc.identifier.startpage86en_US
dc.identifier.trdizinid192960
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TVRreU9UWXdNQT09
dc.identifier.urihttps://hdl.handle.net/11492/1753
dc.identifier.volume3en_US
dc.indekslendigikaynakTR-Dizin
dc.institutionauthorSabancı, Kadir
dc.language.isoen
dc.relation.journalInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.subjectLong Type of Pistachiosen_US
dc.subjectSiirt Pistachiosen_US
dc.subjectClassificationen_US
dc.subjectImage Processingen_US
dc.subjectArtificial Neural Networksen_US
dc.titleClassification of Siirt and long type pistachios (pistacia vera l.) by artificial neural networksen_US
dc.typeArticle

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