%0 Journal Article %A Siti Khairunniza-Bejo and Yusnida Yusoff and Nik Salwani Nik Yusoff and Idris Abu Seman and Mohamad Izzuddin Anuar %D 2015 %J International Journal of Agricultural and Biosystems Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 104, 2015 %T Identification of Healthy and BSR-Infected Oil Palm Trees Using Color Indices %U https://publications.waset.org/pdf/10001908 %V 104 %X Most of the oil palm plantations have been threatened by Basal Stem Rot (BSR) disease which causes serious economic impact. This study was conducted to identify the healthy and BSRinfected oil palm tree using thirteen color indices. Multispectral and thermal camera was used to capture 216 images of the leaves taken from frond number 1, 9 and 17. Indices of normalized difference vegetation index (NDVI), red (R), green (G), blue (B), near infrared (NIR), green – blue (GB), green/blue (G/B), green – red (GR), green/red (G/R), hue (H), saturation (S), intensity (I) and thermal index (T) were used. From this study, it can be concluded that G index taken from frond number 9 is the best index to differentiate between the healthy and BSR-infected oil palm trees. It not only gave high value of correlation coefficient (R=-0.962), but also high value of separation between healthy and BSR-infected oil palm tree. Furthermore, power and S model developed using G index gave the highest R2 value which is 0.985. %P 876 - 879