Measurement system based on visible near infrared imaging for predicting honey electrical conductivity

Adhi Harmoko Saputro, Irfan Sriyono Putro

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

Abstract

The honey quality could be predicted based on the electrical conductivity that dissolves in honey. Currently, dissolved electrical conductivity could be measured only using a traditional instrument, namely a conductivity meter. A measurement system based on visual near-infrared imaging was developed to predict the electrical conductivity value of the honey. The reference of the electrical conductivity was standardized using a conductivity meter, namely HI 98311 that produced by Hanna Instrument, Rhode Island, USA. The measurement benchwork was build using 40×40 aluminum profiles to handle a hyperspectral camera, a slider system to move the object that put-on the Teflon sheet. The honey sample was captured in transmittance mode using a hyperspectral camera with a wavelength range of 400-1000 nm. The sample was captured in 448 bands of wavelength with a 1.3 nm step. The illumination box was developed to transmit light from a halogen lamp to a honey sample in transmittance mode. The data processing consists of image correction, feature extraction, wavelength selection, and prediction model. The wavelength selection and prediction model are built using a combination of Partial Least Square and Artificial Neural Network (PLS-ANN). Hypercube images were prepared from 28 honey typed to evaluate the performance of the proposed system. The performance of PLS-ANN model represented by a linear correlation coefficient is 0.98, whereas the root means square error (RMSE) is 12.6%. Finally, the proposed method based on visible near-infrared imaging could be used to determine the electrical conductivity containing in honey non-destructively.

Original languageEnglish
Title of host publication4th Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices
Subtitle of host publicationProceedings of the International Symposium of Biomedical Engineering, ISBE 2019
EditorsKenny Lischer, Tomy Abuzairi, Siti Fauziyah Rahman, Misri Gozan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419445
DOIs
Publication statusPublished - 10 Dec 2019
Event4th International Symposium of Biomedical Engineering�s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices, ISBE 2019 - Padang, West Sumatera, Indonesia
Duration: 22 Jul 201924 Jul 2019

Publication series

NameAIP Conference Proceedings
Volume2193
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Symposium of Biomedical Engineering�s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices, ISBE 2019
Country/TerritoryIndonesia
CityPadang, West Sumatera
Period22/07/1924/07/19

Keywords

  • Conductivity
  • Electrical
  • Honey
  • Imaging
  • Visual Near Infrared

Fingerprint

Dive into the research topics of 'Measurement system based on visible near infrared imaging for predicting honey electrical conductivity'. Together they form a unique fingerprint.

Cite this