@article{Tawfik_Mohd Shafri_Mohammed_2013, title={DISEASE DETECTION FROM FIELD SPECTROMETER DATA}, volume={14}, url={https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/409}, DOI={10.31436/iiumej.v14i2.409}, abstractNote={<p class="MsoNormal" style="margin-bottom: 12pt;"><strong><em><span style="font-size: 12pt; font-family: ’Times New Roman’, serif;" lang="DE">ABSTRACT</span></em></strong><strong><em><span style="font-size: 12pt; font-family: ’Times New Roman’, serif;" lang="DE">: </span></em></strong><span style="font-size: 11pt;">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 (MSR</span><sub>705</sub><span style="font-size: 11pt;">) 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 (MSR</span><sub>705</sub><span style="font-size: 11pt;">) 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).</span></p><p class="MsoNormal" style="margin-bottom: 12pt;"> </p><p class="MsoNormal" style="margin-bottom: 12pt;"><strong><em><span style="font-size: 12pt; font-family: ’Times New Roman’, serif;" lang="DE">ABSTRAK: </span></em></strong><span style="font-size: 12pt; font-family: ’Times New Roman’, serif;" lang="DE">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 </span><span class="Styleabstract11ptChar"><em><span style="font-size: 11pt;" lang="DE">Modified Red Edge Simple Ratio </span></em><span style="font-size: 11pt;" lang="DE">(MSR<sub>705</sub>) yang merupakan indeks tanaman dalam membezakan peringkat kesihatan kelapa sawit. Adalah didapati pengubahsuaian terhadap indeks <a name="_Hlk368593017"></a><em>Modified Red Edge Simple Ratio </em>(MSR<sub>705</sub>) 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).</span></span></p>}, number={2}, journal={IIUM Engineering Journal}, author={Tawfik, O. H. and Mohd Shafri, H. Z. and Mohammed, Ali A.}, year={2013}, month={Nov.} }