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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics

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      Author(s)
      Onaran, I.
      Pearson, T. C.
      Yardimci, Y.
      Çetin, A. Enis
      Date
      2006
      Source Title
      American Society of Agricultural and Biological Engineers. Transactions
      Print ISSN
      2151-0032
      Electronic ISSN
      2151-0040
      Publisher
      American Society of Agricultural and Biological Engineers
      Volume
      49
      Issue
      6
      Pages
      1971 - 1976
      Language
      English
      Type
      Article
      Item Usage Stats
      199
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      209
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      Abstract
      Shell-to-kernel weight ratio is a vital measurement of quality in hazelnuts as it helps to identify nuts that have underdeveloped kernels. Nuts containing underdeveloped kernels may contain mycotoxin-producing molds, which are linked to cancer and are heavily regulated in international trade. A prototype system was set up to detect underdeveloped hazelnuts by dropping them onto a steel plate and recording the acoustic signal that was generated when a kernel hit the plate. A feature vector comprising line spectral frequencies and time-domain maxima that describes both the time and frequency nature of the impact sound was extracted from each sound signal and used to classify each nut by a support-vector machine. Experimental studies demonstrated accuracies as high as 97% in classifying hazelnuts with underdeveloped kernels.
      Keywords
      Aflatoxin
      Classification
      Detection
      Nut
      Sound
      Permalink
      http://hdl.handle.net/11693/23683
      Published Version (Please cite this version)
      https://doi.org//10.13031/2013.22277
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      • Department of Electrical and Electronics Engineering 4011
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