Wavelength selection in hyperspectral imaging for prediction banana fruit quality

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Wavelength selection is one of the most problems in hyperspectral image analysis due to an immense amount of hypercube data. In this paper, a method to find the optimal wavelength selection in predicting the quality of the banana fruit (Musa sp.) was presented. Reduction of the dimension of wavelength was performed in two stages. The peak and valley detection of reflectance profile from sample data was conducted to find a candidate of the optimal band. The modified of CARS method was then used to select the best wavelength using the Standard deviation information. The PLS registration then used to compute the predicted value based on the transfer model that created using training data. The squared relative errors and correlation coefficient was selected to compare the performance of selected wavelength. The best performance is provided by modified CARS method which has 15 optimal wavelength band with the square of the relative error of 0.09 and the correlation coefficient R2 of 0.97 in predicting the total soluble solid content in banana.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Electrical Engineering and Informatics
Subtitle of host publicationAdvancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-230
Number of pages5
ISBN (Electronic)9781538629345
DOIs
Publication statusPublished - 9 Jan 2018
Event2017 International Conference on Electrical Engineering and Informatics, ICELTICs 2017 - Banda Aceh, Indonesia
Duration: 18 Oct 201720 Oct 2017

Publication series

NameProceedings - 2017 International Conference on Electrical Engineering and Informatics: Advancing Knowledge, Research, and Technology for Humanity, ICELTICs 2017
Volume2018-January

Conference

Conference2017 International Conference on Electrical Engineering and Informatics, ICELTICs 2017
CountryIndonesia
CityBanda Aceh
Period18/10/1720/10/17

Keywords

  • banana
  • cars
  • hyperspectral
  • partial least square
  • random frog
  • wavelength selection

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