@article{(Open Science Index):https://publications.waset.org/pdf/10001908,
	  title     = {Identification of Healthy and BSR-Infected Oil Palm Trees Using Color Indices},
	  author    = {Siti Khairunniza-Bejo and  Yusnida Yusoff and  Nik Salwani Nik Yusoff and  Idris Abu Seman and  Mohamad Izzuddin Anuar},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {876 - 879},
	  ee        = {https://publications.waset.org/pdf/10001908},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},