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      Detection of insect damaged wheat kernels by impact acoustics

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      Author
      Pearson, T. C.
      Çetin, A. Enis
      Tewfik, A. H.
      Date
      2005-03
      Source Title
      Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      649 - 652
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      151
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      Abstract
      Insect damaged wheat kernels (IDK) are characterized by a small hole bored into the kernel by insect larvae. This damage decreases flour quality as insect proteins interfere with the bread-making biochemistry and insect fragments are very unsightly. A prototype system was set up to detect IDK by dropping them onto a steel plate and processing the acoustic signal generated when kernels impact the plate. The acoustic signal was processed by three different methods: 1) modeling of the signal in the time domain, 2) computing time domain signal variances in short time windows, and 3), analysis of the frequency spectra magnitudes. Linear discriminant analysis was used to select a subset of features and perform classification. 98% of un-damaged kernels and 84.4% of IDK were correctly classified.
      Keywords
      Acoustic signal processing
      Acoustic wave effects
      Proteins
      Signal detection
      Time domain analysis
      Frequency spectra
      Insect damaged wheat kernels (IDK)
      Un-damaged kernels
      Grain (agricultural product)
      Acoustics
      Grain
      Insects
      Permalink
      http://hdl.handle.net/11693/27394
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2005.1416387
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      • Department of Electrical and Electronics Engineering 3608
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