@article{(Open Science Index):https://publications.waset.org/pdf/11742,
	  title     = {Pineapple Maturity Recognition Using RGB Extraction},
	  author    = {J. I. Asnor and  S. Rosnah and  Z. W. H. Wan and  H. A. B. Badrul},
	  country	= {},
	  institution	= {},
	  abstract     = {Pineapples can be classified using an index with seven
levels of maturity based on the green and yellow color of the skin. As
the pineapple ripens, the skin will change from pale green to a golden
or yellowish color. The issues that occur in agriculture nowadays are
to do with farmers being unable to distinguish between the indexes of
pineapple maturity correctly and effectively. There are several
reasons for why farmers cannot properly follow the guideline provide
by Federal Agriculture Marketing Authority (FAMA) and one of
reason is that due to manual inspection done by experts, there are no
specific and universal guidelines to be adopted by farmers due to the
different points of view of the experts when sorting the pineapples
based on their knowledge and experience. Therefore, an automatic
system will help farmers to identify pineapple maturity effectively
and will become a universal indicator to farmers.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {7},
	  number    = {6},
	  year      = {2013},
	  pages     = {597 - 600},
	  ee        = {https://publications.waset.org/pdf/11742},
	  url   	= {https://publications.waset.org/vol/78},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 78, 2013},
	}