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An intelligent procedure for watermelon ripeness detection based on vibration signals

Journal of Food Science and Technology volume 52, pages 1075–1081 (2015)Cite this article

Abstract

In this paper, an efficient procedure for ripeness detection of watermelon was presented. A nondestructive method was used based on vibration response to determine the internal quality of watermelon. The responses of samples to vibration excitation were optically recorded by a Laser Doppler (LD) vibrometer. Vibration data was collected from watermelons of two qualities, namely, ripe and unripe. Vibration signals were transformed from time-domain to frequency-domain by fast Fourier transform (FFT). Twenty nine features were extracted from the FFT amplitude and phase angle of the vibration signals. K-nearest neighbor (KNN) analysis was applied as a classifier in decision-making stage. The experimental results showed that the usage of the FFT amplitude of the vibration signals gave the maximum classification accuracy. This method allowed identification at a 95.0 % level of efficiency. Hence, the proposed method can reliably detect watermelon ripeness.

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Affiliations

  1. Agricultural Research Institute, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran

    Rouzbeh Abbaszadeh

  2. Department of Mechanical Engineering of Agriculture Machinery, Tarbiat Modares University, P.O. Box: 14115–111, Tehran, Iran

    Ashkan Moosavian & Gholamhassan Najafi

  3. Department of Agricultural Machinery, Faculty of Agricultural Engineering & Technology, College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran

    Ali Rajabipour

Authors
  1. Rouzbeh Abbaszadeh
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  2. Ashkan Moosavian
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  3. Ali Rajabipour
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  4. Gholamhassan Najafi
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Correspondence to Ashkan Moosavian.

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Abbaszadeh, R., Moosavian, A., Rajabipour, A. et al. An intelligent procedure for watermelon ripeness detection based on vibration signals. J Food Sci Technol 52, 1075–1081 (2015). https://doi.org/10.1007/s13197-013-1068-x

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  • DOI: https://doi.org/10.1007/s13197-013-1068-x

Keywords

  • Watermelon
  • Ripeness detection
  • Laser Doppler vibrometry
  • Fast Fourier transform
  • Feature extraction
  • K-nearest neighbor