Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images


  • Abd Wahid Rasib UTM
  • Nurmi-Rohayu Abd Hamid Malaysian Rubber Board
  • Muhammad Latifi Mohd Yaacob Universiti Teknologi Malaysia
  • Zarawi Abd Ghani Malaysian Rubber Board
  • Nurul Hawani Idris
  • L M S Alvin
  • Muhammad Imzan Hassan
  • Khairulnizam M Idris
  • Rozilawati Dollah
  • Anuar Mohd Salleh
  • Mustaffa Bin Anjang Ahmad UTHM


Rubber-Tree Leaf, Diseases Mapping, Close Range Remote Sensing


 Currently, close-range remote sensing method using drone-based platform which payload compact sensor has been used for monitoring and mapping in the agriculture sector at large area. Thus, this study is deployed drone with a compact sensor to identify the rubber tree leaf diseases based on two groups of a spectral wavelength which are visible (RGB: 0.4 µm – 0.7 µm) and near infrared (NIR: 0.7µm – 2.0 µm), respectively. Spectral obtained from drone-based platform will be validated using ground observation handheld spectroradiometer. Eight types of rubber tree clones leaf at three different conditions (healthy, unhealthy and severe) were randomly selected within the 9.4-hectare Experimental Rubber Plot, Rubber Research Institute of Malaysia (RRIM), Kota Tinggi, Johor whereby consist RRIM 2000 series, RRIM 3000 series, and PB series, respectively. Based on the result, quantitative analysis shows that the f-value is smaller than Critical-one tail for healthy, unhealthy while for severe the f-value is larger than Critical-one tail. The f-value is 2.887 < 4.283 (healthy), 0.002 < 0.264 (unhealthy) and 1.008 > 0.0526, respectively. Thus, this can be concluded that spectral and estimate is equal at the 0.05 significant levels. For qualitative analysis, it shows that each rubber clone tree diseases can be distinguished at the near infrared band for healthy, unhealthy and severe respectively.


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Author Biographies

  • Abd Wahid Rasib, UTM

    Tropical Map Research Group, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

  • Mustaffa Bin Anjang Ahmad, UTHM

    Head of Geomatic Panel, Department of Insfrastructure and Geomatic Engineering, Faculty of Civil and Environmental Engineering, UTHM




How to Cite

Rasib, A. W., Abd Hamid, N.-R., Mohd Yaacob, M. L. ., Abd Ghani, Z., Idris, N. H., Alvin, L. M. S., Hassan, M. I., M Idris, K., Dollah, R., Mohd Salleh, A., & Anjang Ahmad, M. B. (2022). Rubber-Tree Leaf Diseases Mapping Using Close Range Remote Sensing Images. International Journal of Integrated Engineering, 14(5), 1-12.