Improving the identification and classification of Malaysian medicinal leaf images using ensemble method

Malaysia has abundant natural resources especially plants which can be used for medicinal or herbal purposes. However, there is less research to preserve the knowledge of these resources to be utilized by the community in identifying useful medicinal plants using computing tools. This paper presents...

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Main Authors: Sainin, Mohd Shamrie, Ahmad, Faudziah, Alfred, Rayner
Format: Article
Language:English
Published: 2016
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Online Access:http://repo.uum.edu.my/18027/1/ict4t-shamrie-leaf_CR.pdf
http://repo.uum.edu.my/18027/
http://www.ict4t.cms.net.my/ict4t2016/home.asp
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Institution: Universiti Utara Malaysia
Language: English
id my.uum.repo.18027
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spelling my.uum.repo.180272016-04-28T03:25:48Z http://repo.uum.edu.my/18027/ Improving the identification and classification of Malaysian medicinal leaf images using ensemble method Sainin, Mohd Shamrie Ahmad, Faudziah Alfred, Rayner QA75 Electronic computers. Computer science Malaysia has abundant natural resources especially plants which can be used for medicinal or herbal purposes. However, there is less research to preserve the knowledge of these resources to be utilized by the community in identifying useful medicinal plants using computing tools. This paper presents the implementation of digital opportunities for Malaysian medicinal plants via leaf image identification and classification. Of late, experts in traditional medicine and herbs have become few and the younger generation are mostly unknowledgeable about the medicinal and herbal properties of the plants. Therefore, this work is important in assisting the community (rural and urban) to identify and possibly share the knowledge of Malaysian medicinal plants with the future generation. The focus of this paper is to prepare the identification phase before the actual system is developed. Thus, the implementation of such a system is vital in order to enable the community to preserve these important resources. 2016 Article PeerReviewed application/pdf en http://repo.uum.edu.my/18027/1/ict4t-shamrie-leaf_CR.pdf Sainin, Mohd Shamrie and Ahmad, Faudziah and Alfred, Rayner (2016) Improving the identification and classification of Malaysian medicinal leaf images using ensemble method. Proceeding of the First International Conference on ICT for Transformation 2016. ISSN 978-967-0910-12-3 http://www.ict4t.cms.net.my/ict4t2016/home.asp
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sainin, Mohd Shamrie
Ahmad, Faudziah
Alfred, Rayner
Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
description Malaysia has abundant natural resources especially plants which can be used for medicinal or herbal purposes. However, there is less research to preserve the knowledge of these resources to be utilized by the community in identifying useful medicinal plants using computing tools. This paper presents the implementation of digital opportunities for Malaysian medicinal plants via leaf image identification and classification. Of late, experts in traditional medicine and herbs have become few and the younger generation are mostly unknowledgeable about the medicinal and herbal properties of the plants. Therefore, this work is important in assisting the community (rural and urban) to identify and possibly share the knowledge of Malaysian medicinal plants with the future generation. The focus of this paper is to prepare the identification phase before the actual system is developed. Thus, the implementation of such a system is vital in order to enable the community to preserve these important resources.
format Article
author Sainin, Mohd Shamrie
Ahmad, Faudziah
Alfred, Rayner
author_facet Sainin, Mohd Shamrie
Ahmad, Faudziah
Alfred, Rayner
author_sort Sainin, Mohd Shamrie
title Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
title_short Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
title_full Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
title_fullStr Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
title_full_unstemmed Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
title_sort improving the identification and classification of malaysian medicinal leaf images using ensemble method
publishDate 2016
url http://repo.uum.edu.my/18027/1/ict4t-shamrie-leaf_CR.pdf
http://repo.uum.edu.my/18027/
http://www.ict4t.cms.net.my/ict4t2016/home.asp
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