System for removing shell pieces hazelnut kernels using impact vibration analysis

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage16en_US
dc.citation.spage11en_US
dc.citation.volumeNumber101en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorPearson, T. C.en_US
dc.contributor.authorSevimli, R. A.en_US
dc.date.accessioned2015-07-28T12:03:54Z
dc.date.available2015-07-28T12:03:54Z
dc.date.issued2014-02en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractA system for removing shell pieces from hazelnut kernels using impact vibration analysis was developed in which nuts are dropped onto a steel plate and the vibration signals are captured and analyzed. The mel-cepstral feature parameters, line spectral frequency values, and Fourier-domain Lebesgue features were extracted from the vibration signals. The best experimental results were obtained using the melcepstral feature parameters. The feature parameters were classified using a support vector machine (SVM), which was trained a priori using a manually classified dataset. An average recognition rate of 98.2% was achieved. An important feature of the method is that it is easily trainable, enabling it to be applicable to other nuts, including walnuts and pistachio nuts. In addition, the system can be implemented in real time. 2013 Elsevier B.V. All rights reserveden_US
dc.identifier.doi10.1016/j.compag.2013.11.010en_US
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/11693/12924
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.compag.2013.11.010en_US
dc.source.titleComputers and Electronics in Agricultureen_US
dc.subjectHazelnutsen_US
dc.subjectImpact vibration analysisen_US
dc.subjectLine spectral frequenciesen_US
dc.subjectMel-cepstral featureen_US
dc.titleSystem for removing shell pieces hazelnut kernels using impact vibration analysisen_US
dc.typeArticleen_US
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