Chlorophylls content prediction of green amaranth (Amaranthus tricolor L.) leaves based on Vis-NIR image

Mardhiyatna, Adhi Harmoko Saputro, Cuk Imawan

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

4 Citations (Scopus)

Abstract

Hyperspectral imaging is a technology that combines the conventional imaging and spectroscopy to acquire both spectral and spatial information from the samples. In this study, a hyperspectral imaging in the spectral range of 400-1000 nm was used for chlorophyll content prediction of Green amaranth leaves based on reflectance profile. Spectral data in the region of interest (ROI) of each leaf were extracted from the hyperspectral images. The determination of total chlorophyll content was measured using spectrophotometer UV-Vis. The Partial least squares regression (PLSR) was used to create a model prediction between the measured chlorophyll content and the reflectance spectral. The correlation coefficients (r) in the full wavelength (400-1000 nm) for training and testing data is content is 0.9997 (r2 = 0.9994) and 0.9156 (r2 = 0.834), respectively. The result shows that the hyperspectral imaging could be used to predict chlorophyll content as a nondestructive test.

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.
Pages235-238
Number of pages4
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
Country/TerritoryIndonesia
CityBanda Aceh
Period18/10/1720/10/17

Keywords

  • Hyperspectral image
  • PLSR
  • chlorophyll content
  • green amaranth leaves

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