Study of Rubber Leaf Disease using Hyperspectral Reflectance

Masita Dwi Mandini Manessa, Rokhmatullah Supriatna, Iqbal Putut Ash Shidiq, Ryota Nagasawa, Farida Ayu, Anisya Feby Efriana, Retno Lestari, Alhadi Bustamam, Minami Matsui, Kiwamu Kase, Yuko Makita, Tri Rapani Febbiyanti, Fetrina Oktavia, Charlos Togi Stevanus

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

2 Citations (Scopus)


Leaf disease in rubber leaves causes a significant effect on latex production, especially Pestalotiopsis sp. This disease has caused a massive leaf fall in many plantations in Indonesia. Hyperspectral-based analysis can identify the difference in spectral leaf due to disease. The site location is Sembawa Rubber Research Institute in Sembawa, Palembang, Indonesia. Further, this study also compared other fungi leaf diseases, namely Oidium sp., Collectotrichum sp., and Corrynesspora sp. The leaf spectral reflectance was measured using Ocean Optics USB 2000+ UV-VIS Spectrometer, which measured the spectral response from 350-850 nm. This study aims at (a) defining the spectral signature of rubber leaf infected by leaf fall disease, b) analyzing whether the spectral response of infected leaf can be distinguished, and (c) defining the most useful wavelengths for discriminating spectral responses. The methodology used in this study is spectral response curve, principal components, and partial least square discriminant analyses. As a result, the average spectra indicated differences in color-infected leaves in the chlorophyll-associated wavelengths 490-589, 681–685, 718-752, and 839-875 nm. At the same time, the identification of disease type based on the spectral response found that it is not separable due to high similarity in the spectral curve.

Original languageEnglish
Title of host publicationSPIE Future Sensing Technologies 2023
EditorsOsamu Matoba, Joseph A. Shaw, Christopher R. Valenta
ISBN (Electronic)9781510657229
Publication statusPublished - 2023
EventSPIE Future Sensing Technologies 2023 - Yokohama, Japan
Duration: 18 Apr 202321 Apr 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceSPIE Future Sensing Technologies 2023


  • collectotrichum
  • corrynesspora
  • hyperspectral
  • indonesia
  • leaf fall disease
  • oidium
  • pestalotiopsis
  • rubber


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