Wavelength selection of persimmon leafusing decision tree method in visible near-infrared imaging

Femilia Putri Mayranti, Adhi Harmoko Saputro, Windri Handayani

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

Abstract

Phenolic compounds are one of the secondary metabolites in vegetation. In general, total phenolic content can be measured using a biological approach that requires some preparation time and destructive. In this study, total phenolic content was predicted using Visible Near-Infrared (VNIR) Imaging approach. VNIR analysis in the spectral range of 400-1000 nm was used to predict the total phenolic content of velvet apple leaf non-destructively. Spectral features from samples are calculated based on the average reflectances area of leaves with a spatial dimension of 20×20 pixels in 224 spectral features. The optimal feature selection was performed using the Decision Tree (DT) method. Decision Tree Regression (DTR) algorithm was applied to predict measured values based on spectral features. Sample data evaluated with cross-validation to calculated system perform. The best performance of prediction system which has 30 optimal wavelength band with the determination coefficient (R2) of 0.92 and root mean square of the relative error (RMSE) of 3.48 in predicting the total phenolic content in a Velvet apple leaf.

Original languageEnglish
Title of host publication2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-118
Number of pages6
ISBN (Electronic)9781728152929
DOIs
Publication statusPublished - Oct 2019
Event11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019 - Bali, Indonesia
Duration: 12 Oct 201913 Oct 2019

Publication series

Name2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019

Conference

Conference11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
Country/TerritoryIndonesia
CityBali
Period12/10/1913/10/19

Keywords

  • Decision Tree
  • Hyperspectral
  • Phenolic
  • Velvet apple

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