Classification of agarwood grades using ANN

Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading tech...

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Main Authors:	M. S., Najib, Mohd Nasir, Taib, Nor Azah, Mohd Ali, Mohd Nasir, Mat Arip, Abd. Majid, Jalil
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26212/ http://umpir.ump.edu.my/id/eprint/26212/ http://umpir.ump.edu.my/id/eprint/26212/1/Classification%20of%20agarwood%20grades%20using%20ANN.pdf

id	ump-26212
recordtype	eprints
spelling	ump-262122020-02-10T02:46:33Z http://umpir.ump.edu.my/id/eprint/26212/ Classification of agarwood grades using ANN M. S., Najib Mohd Nasir, Taib Nor Azah, Mohd Ali Mohd Nasir, Mat Arip Abd. Majid, Jalil TK Electrical engineering. Electronics Nuclear engineering Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading technique for the wood using advanced signal processing of E-nose measurements. Agarwoods from Malaysia and Indonesia are classified into either high or low grade using artificial neural network. Thirty two sensor readings of the E-nose are used as the inputs of the artificial neural network. The experimental results show that the proposed technique, employing feed forward artificial neural network defined by 32-8-1 architecture and trained via Levenberg-Marquardt back propagation (LMBP) algorithm, successfully grade the Agarwood with a 100% classification rate. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26212/1/Classification%20of%20agarwood%20grades%20using%20ANN.pdf M. S., Najib and Mohd Nasir, Taib and Nor Azah, Mohd Ali and Mohd Nasir, Mat Arip and Abd. Majid, Jalil (2011) Classification of agarwood grades using ANN. In: International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011)., 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 367-372.. ISBN 978-1-61284-229-5 https://doi.org/10.1109/INECCE.2011.5953908
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering M. S., Najib Mohd Nasir, Taib Nor Azah, Mohd Ali Mohd Nasir, Mat Arip Abd. Majid, Jalil Classification of agarwood grades using ANN
description	Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading technique for the wood using advanced signal processing of E-nose measurements. Agarwoods from Malaysia and Indonesia are classified into either high or low grade using artificial neural network. Thirty two sensor readings of the E-nose are used as the inputs of the artificial neural network. The experimental results show that the proposed technique, employing feed forward artificial neural network defined by 32-8-1 architecture and trained via Levenberg-Marquardt back propagation (LMBP) algorithm, successfully grade the Agarwood with a 100% classification rate.
format	Conference or Workshop Item
author	M. S., Najib Mohd Nasir, Taib Nor Azah, Mohd Ali Mohd Nasir, Mat Arip Abd. Majid, Jalil
author_facet	M. S., Najib Mohd Nasir, Taib Nor Azah, Mohd Ali Mohd Nasir, Mat Arip Abd. Majid, Jalil
author_sort	M. S., Najib
title	Classification of agarwood grades using ANN
title_short	Classification of agarwood grades using ANN
title_full	Classification of agarwood grades using ANN
title_fullStr	Classification of agarwood grades using ANN
title_full_unstemmed	Classification of agarwood grades using ANN
title_sort	classification of agarwood grades using ann
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/26212/ http://umpir.ump.edu.my/id/eprint/26212/ http://umpir.ump.edu.my/id/eprint/26212/1/Classification%20of%20agarwood%20grades%20using%20ANN.pdf
first_indexed	2023-09-18T22:40:41Z
last_indexed	2023-09-18T22:40:41Z
_version_	1777416893901045760

Classification of agarwood grades using ANN

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