Bananas moisture content prediction system using Visual-NIR imaging

Septi Tri Wahyuni Siregar, Windri Handayani, Adhi Harmoko Saputro

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

4 Citations (Scopus)

Abstract

Commonly, the fruit moisture content could be measured by comparing the mass decrement of an object through the oven drying method. Bananas moisture content prediction system was introduced using the Visual-NIR imaging technique. The hardware of the proposed system consists of a set of the workbench, controllable slider, two halogen light sources and a hyperspectral camera that connected to PC via Camera Link. The software of system consists of reflectance image profile measurement, feature extraction on spectral and spatial data, and moisture prediction model. The reflectance image profile was extracted from the banana surface based on current image, white and dark image reference. The feature sets were computed using a principal component analysis (PCA) and partial least square regression (PLSR) on the full wavelength range of HSI spectra. The purpose of using two regression methods in this research is for comparing the result of moisture content prediction. The proposed system was evaluated using 45 Raja bananas (Musa textilla) samples which consist of 15 samples for each maturity stage. The prediction error between predicted and measured data with PCR is 0.58 % and produce correlation coefficient R2 of 0.79. The PLSR model of banana content prediction system has RMSE 0.25% and R2 0.96. The results show that the proposed system can predict the banana moisture content and suitable in an industrial sorting system for banana fruit quality.

Original languageEnglish
Title of host publicationProceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-92
Number of pages4
ISBN (Electronic)9781538603499
DOIs
Publication statusPublished - 13 Oct 2017
Event5th International Conference on Instrumentation, Control, and Automation, ICA 2017 - Yogyakarta, Indonesia
Duration: 9 Aug 201711 Aug 2017

Publication series

NameProceedings of the 2017 5th International Conference on Instrumentation, Control, and Automation, ICA 2017

Conference

Conference5th International Conference on Instrumentation, Control, and Automation, ICA 2017
CountryIndonesia
CityYogyakarta
Period9/08/1711/08/17

Keywords

  • bananas
  • moisture content
  • partial least square regression
  • principle component analysis
  • principle component regression
  • visual-NIR

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