000			01855nam a2200265 a 4500
001			vtls000054812
003			KUKTEM
005			20251114204504.0
008			110718t2010 my a f m 000 0 eng d
020			_aTHE0005961(Local)
039		9	_a201905141608 _baida _c201704100939 _dida _y201107181437 _zida
040			_aUMP
090			_aTA1637 .E97 2010 rs Bc.
100	0		_aEzrin Tasnim Abdul Gani
245	1	0	_aPineapple distribution classification using RGB and fuzzy / _cEzrin Tasnim Abdul Gani
246	3		_aPineapple distribution classification using RGB and fuzzy _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2010
300			_axiv, 73 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010
504			_aBibliography : p. [77]-78
520	3		_aThe aim of this study is to classify pineapple distribution based on RGB technique and fuzzy logic as classifier. Nowadays, the grading of pineapple for export is using manual inspection is not very effective and will misjudgement due to mistake of classify the maturity index by labour workers. These applications of classifier pineapple maturity index are fully automated by using RGB technique and Fuzzy logic. The RGB color technique is utilized as the extracted features for the pineapple rind. Further, the extracted feature is classified using fuzzy logic system to determine the maturity level of the pineapple and the distribution mean. The result for this project is 89% accuracy in color identification process which can improve the grading pineapple system with this technique
650		0	_aImage processing _xDigital technique
650		0	_aFuzzy logic
999			_aVIRTUA40 _c2893 _d2899
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992