000			03016ntm a2200277 a 4500
001			vtls000099170
003			KUKTEM
005			20251117113335.0
008			170419t2016 my a f am 000 0 eng d
020			_aTHE0001256(Local)
039		9	_a201905271458 _batie _c201704191501 _dsaini _y201704191243 _zsaini
040			_aUMP
090			_aFSKKP .S29 2016 r Bc.
100	0		_aSayyidatina Al Hurul Aina Alzahari
245	1	0	_aMobile application for classifying palm oil bunch using RGB and artificial neural network / _cSayyidatina Al Hurul Aina Alzahari
260			_aKuantan, Pahang : _bUMP, _c2016
300			_axvi, 99 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
500			_aFaculty of Computer Systems and Software Engineering
502			_aProject paper (Bachelor of Computer Science (Software Engineering) With Honours) -- Universiti Malaysia Pahang – 2016
504			_aBibliography : p. 88-91
520	3		_aMalaysia is known as the second largest producer of palm oil in the world. The current procedure in palm oil mills and in palm plantation, grading the palm oil ripeness is done manually by human graders. This conventional method is subjective, inefficient and inconsistence because human graders has their own techniques, expertise and experience which may vary from each other. Hence, this method affects the quality of palm oil production and also takes longer time for grading. This method must be replaced with technology-based because nowadays technology can reduce human effort, to increase productivity, and more reliable compared to conventional method. In this project, a new method was introduced by developing Android mobile application which comprises with Artificial Neural Network (ANN) engine to classify the palm oil bunch based on RGB colour model. This project aim is to get the accuracy of the ripeness of palm oil bunch with mobile technology. The purpose of this mobile application is to distinguish between the four different classes of palm oil bunch which are unripe, half-ripe, ripe, and overripe. The ripeness palm oil bunch is based on different colour intensity. Hence, this mobile application will use the image of palm oil bunch that has been captured from user's mobile telephone and analyze the images correspondent to human eye and mind. The mobile application is developed for the image processing to make calculation of the mean colour based on RGB colour model and use ANN to decision making to test the data and make the classification for the palm oil bunch. The program that has been developed is expected to distinguish the four different classes of palm oil bunch automatically. This project provides a very reliable technique to standardize the palm oil bunch grading system.
610	2	0	_aFaculty of Computer Systems and Software Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
999			_aVIRTUA40 _c7020 _d7026
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992