Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network

This project presents palm oil bunch ripeness classification application based on RGB colour model using Artificial Neural Network (ANN) and developed by using MATLAB for data set training purpose using Backpropagation techniques which it is a part of ANN. An Android application is constructed...

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Bibliographic Details
Main Authors:	Sayyidatina Al Hurul Aina, Alzahati, Mohd Azwan, Mohamad
Format:	Conference or Workshop Item
Language:	English
Published:	2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/17317/ http://umpir.ump.edu.my/id/eprint/17317/1/292_298.pdf

id	ump-17317
recordtype	eprints
spelling	ump-173172018-03-20T04:24:25Z http://umpir.ump.edu.my/id/eprint/17317/ Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network Sayyidatina Al Hurul Aina, Alzahati Mohd Azwan, Mohamad QA75 Electronic computers. Computer science This project presents palm oil bunch ripeness classification application based on RGB colour model using Artificial Neural Network (ANN) and developed by using MATLAB for data set training purpose using Backpropagation techniques which it is a part of ANN. An Android application is constructed to test the capability of the trained ANN model in order to classify the ripeness of the palm oil bunch correctly. The captured image of the palm oil bunch is resized and its RGB colour components are extracted to get the individual mean of Red, Green and Blue value as the data set. Further, the data set is normalized and colour conversion techniques are applied. After the conversion, the data set then trained by using ANN. A graphical user interface system is developed in MATLAB for training and Android that classifies the ripeness of the palm oil bunch. The proposed model has an accuracy of 96%. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17317/1/292_298.pdf Sayyidatina Al Hurul Aina, Alzahati and Mohd Azwan, Mohamad (2016) Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 292-298.. ISBN 978-967-2054-04-7
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Sayyidatina Al Hurul Aina, Alzahati Mohd Azwan, Mohamad Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
description	This project presents palm oil bunch ripeness classification application based on RGB colour model using Artificial Neural Network (ANN) and developed by using MATLAB for data set training purpose using Backpropagation techniques which it is a part of ANN. An Android application is constructed to test the capability of the trained ANN model in order to classify the ripeness of the palm oil bunch correctly. The captured image of the palm oil bunch is resized and its RGB colour components are extracted to get the individual mean of Red, Green and Blue value as the data set. Further, the data set is normalized and colour conversion techniques are applied. After the conversion, the data set then trained by using ANN. A graphical user interface system is developed in MATLAB for training and Android that classifies the ripeness of the palm oil bunch. The proposed model has an accuracy of 96%.
format	Conference or Workshop Item
author	Sayyidatina Al Hurul Aina, Alzahati Mohd Azwan, Mohamad
author_facet	Sayyidatina Al Hurul Aina, Alzahati Mohd Azwan, Mohamad
author_sort	Sayyidatina Al Hurul Aina, Alzahati
title	Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
title_short	Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
title_full	Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
title_fullStr	Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
title_full_unstemmed	Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
title_sort	mobile application for classifying palm oil bunch using rgb and artificial neural network
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/17317/ http://umpir.ump.edu.my/id/eprint/17317/1/292_298.pdf
first_indexed	2023-09-18T22:23:49Z
last_indexed	2023-09-18T22:23:49Z
_version_	1777415833290539008

Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network

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