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Classification of piper nigrum samples using machine learning techniques: A comparison

Pepper is a key export of the state of Sarawak (Malaysian Borneo). At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose an automated Peppe...

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Main Authors: D.N.F, Awang Iskandar, Nuraya, Abdullah, Alvin Wee, Yeo, Shapiee, Abdul Rahman, Ahmad Hadinata, Fauzi, Rubiyah, Baini
Format: Proceeding
Language:English
Published: 2013
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://ir.unimas.my/id/eprint/16511/1/Classification%20of%20piper%20nigrum%20samples%20using%20machine%20learning%20techniques%20%28abstrak%29.pdf
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spelling my.unimas.ir.165112023-08-21T07:04:49Z http://ir.unimas.my/id/eprint/16511/ Classification of piper nigrum samples using machine learning techniques: A comparison D.N.F, Awang Iskandar Nuraya, Abdullah Alvin Wee, Yeo Shapiee, Abdul Rahman Ahmad Hadinata, Fauzi Rubiyah, Baini TJ Mechanical engineering and machinery Pepper is a key export of the state of Sarawak (Malaysian Borneo). At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose an automated Pepper Grading System which employs image processing and machine learning using image features and moisture content data of the pepper berries. In this paper, we present our findings of using twenty machine learning algorithms to classify the pepper berries into its respective grades based on image features, which is part of our research work towards an automated Pepper Grading System. We found that Rotation Forest was the best classifier 2013 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/16511/1/Classification%20of%20piper%20nigrum%20samples%20using%20machine%20learning%20techniques%20%28abstrak%29.pdf D.N.F, Awang Iskandar and Nuraya, Abdullah and Alvin Wee, Yeo and Shapiee, Abdul Rahman and Ahmad Hadinata, Fauzi and Rubiyah, Baini (2013) Classification of piper nigrum samples using machine learning techniques: A comparison. In: 3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013, 30 January 2013 through 1 February 2013, Islamic Azad UniversityDubai; United Arab Emirates.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
D.N.F, Awang Iskandar
Nuraya, Abdullah
Alvin Wee, Yeo
Shapiee, Abdul Rahman
Ahmad Hadinata, Fauzi
Rubiyah, Baini
Classification of piper nigrum samples using machine learning techniques: A comparison
description Pepper is a key export of the state of Sarawak (Malaysian Borneo). At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose an automated Pepper Grading System which employs image processing and machine learning using image features and moisture content data of the pepper berries. In this paper, we present our findings of using twenty machine learning algorithms to classify the pepper berries into its respective grades based on image features, which is part of our research work towards an automated Pepper Grading System. We found that Rotation Forest was the best classifier
format Proceeding
author D.N.F, Awang Iskandar
Nuraya, Abdullah
Alvin Wee, Yeo
Shapiee, Abdul Rahman
Ahmad Hadinata, Fauzi
Rubiyah, Baini
author_facet D.N.F, Awang Iskandar
Nuraya, Abdullah
Alvin Wee, Yeo
Shapiee, Abdul Rahman
Ahmad Hadinata, Fauzi
Rubiyah, Baini
author_sort D.N.F, Awang Iskandar
title Classification of piper nigrum samples using machine learning techniques: A comparison
title_short Classification of piper nigrum samples using machine learning techniques: A comparison
title_full Classification of piper nigrum samples using machine learning techniques: A comparison
title_fullStr Classification of piper nigrum samples using machine learning techniques: A comparison
title_full_unstemmed Classification of piper nigrum samples using machine learning techniques: A comparison
title_sort classification of piper nigrum samples using machine learning techniques: a comparison
publishDate 2013
url http://ir.unimas.my/id/eprint/16511/1/Classification%20of%20piper%20nigrum%20samples%20using%20machine%20learning%20techniques%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/16511/
_version_ 1775627202229960704
score 13.211869

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