Application of the natural frequency estimation technique for mangosteen classification

P. Leekul, M. Krairiksh, Tapan K. Sarkar

Research output: Chapter in Book/Entry/PoemConference contribution

8 Scopus citations

Abstract

The problem of identifying unripe fruits using a non-destructive evaluation methodology is of great interest. In this paper the natural frequency estimation methodology described by the singularity expansion method (SEM) is used to evaluate the state of maturity of the mangosteen fruit using a non-destructive classification technique. The methodology is based on a RADAR identification technique based on the scattered field data is used to accomplish this goal. The classification is carried out using the SEM poles computed using the Cauchy method using the scattered field data for a mangosteen as it matures. Then, a pole library is constructed and is used in a classification scheme.

Original languageEnglish (US)
Title of host publicationProceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages928-930
Number of pages3
ISBN (Electronic)9781479943548
DOIs
StatePublished - Dec 18 2014
Event3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014 - Harbin, China
Duration: Jul 26 2014Jul 29 2014

Publication series

NameProceedings of 3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014

Other

Other3rd Asia-Pacific Conference on Antennas and Propagation, APCAP 2014
Country/TerritoryChina
CityHarbin
Period7/26/147/29/14

Keywords

  • Cauchy method
  • Radar cross-section
  • fruit classification
  • natural frequency

ASJC Scopus subject areas

  • Computer Networks and Communications

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