DISEASE DETECTION FROM FIELD SPECTROMETER DATA

Authors

  • O. H. Tawfik Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia UPM.
  • H. Z. Mohd Shafri Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia UPM.
  • Ali A. Mohammed Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, National University of Malaysia UKM.

DOI:

https://doi.org/10.31436/iiumej.v14i2.409

Abstract

ABSTRACT: Oil palm plants have been planted in large scale of areas. Ganoderma disease has been recognized and diagnosed in oil palm plants to infect almost half of the oil palm plants in Malaysia. To deal with this problem, the use of vegetation indices analysis on hyper spectral field data we will examine the ability of this data in discrimination between Ganoderma disease stages in oil palm plants which will be helpful in control the spread of the diseases. By using vegetation indices the oil palm plants could be classified into 1 (T1 healthy), 2 (T2 semi healthy) and 3 (T3 severe damage) plant classes accurately. The results showed that the best vegetation index is the Modified Red Edge Simple Ratio (MSR705) among the vegetation indices to discriminate between oil palm health stages. It was realized that the modification that was applied to the Modified Red Edge Simple Ratio (MSR705) index of Narrowband greenness VIs has been exhibited an acceptable results in differentiate between the oil palm plant stage 1 (T1 healthy) and stage 2 (T2 semi healthy).

 

ABSTRAK: Tanaman kelapa sawit ditanam secara meluas.  Penyakit ganoderma dikenali dan didiagnosikan menjangkiti hampir separuh tanaman kelapa sawit di Malaysia. Untuk mengawal penyakit ini daripada merebak, analisis indeks tanaman dijalankan ke atas data kawasan spektrum melampau di mana keupayaan data ini diuji dalam membezakan peringkat-peringkat penyakit Ganoderma terhadap tanaman kelapa sawit. Dengan menggunakan indeks tanaman, kelapa sawit dapat diklasifikasikan kepada 1 (T1 sihat), 2 (T2 separa sihat) dan 3 (T3 rosak); kelas tanaman dengan tepat. Keputusan menunjukkan indeks tanaman terbaik sebagai Modified Red Edge Simple Ratio (MSR705) yang merupakan indeks tanaman dalam membezakan peringkat kesihatan kelapa sawit. Adalah didapati pengubahsuaian terhadap indeks Modified Red Edge Simple Ratio (MSR705) yang juga indeks Jalur Sempit Hijau VI telah memberikan keputusan yang munasabah dalam membezakan peringkat tanaman kelapa sawit peringkat 1 (T1 sihat) dan peringkat 2 (T2 separa sihat).

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Author Biographies

O. H. Tawfik, Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia UPM.

--

H. Z. Mohd Shafri, Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia UPM.

--

Ali A. Mohammed, Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment, National University of Malaysia UKM.

Civil Eng

Downloads

Published

2013-11-19

How to Cite

Tawfik, O. H., Mohd Shafri, H. Z., & Mohammed, A. A. (2013). DISEASE DETECTION FROM FIELD SPECTROMETER DATA. IIUM Engineering Journal, 14(2). https://doi.org/10.31436/iiumej.v14i2.409

Issue

Section

Articles