i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach

Expert System in identifying herbs, using Production Rules in the system will solve a problem of using conventional and manual procedures. By using physicals structure, defining herbs is tough. Identifying herbs by using collective intelligence from the public can lead to issues on trustworthiness....

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Main Authors:	Roslina, Abd Hamid, Rahmah, Mokhtar, Nor Azhar, Ahmad, Fauziah, Zainuddin, Azma, Abdullah
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software SB Plant culture
Online Access:	http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/1/79.%20i-Herbs_%20An%20Expert%20System%20for%20Malaysian%20Herbs%20Identification%20Using%20Production%20Rules%20Approach1.pdf

id	ump-20176
recordtype	eprints
spelling	ump-201762018-11-29T02:28:03Z http://umpir.ump.edu.my/id/eprint/20176/ i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach Roslina, Abd Hamid Rahmah, Mokhtar Nor Azhar, Ahmad Fauziah, Zainuddin Azma, Abdullah QA76 Computer software SB Plant culture Expert System in identifying herbs, using Production Rules in the system will solve a problem of using conventional and manual procedures. By using physicals structure, defining herbs is tough. Identifying herbs by using collective intelligence from the public can lead to issues on trustworthiness. Rule based is derived from the rules for herbs expert knowledge domain. Thus, the system can learn from its experience by using factual knowledge based. The system has the ability to give the herb’s family name, scientific name and common name. Therefore, this system will help public to identify herbs easier. The result yields 75% of system outputs are properly matched to human knowledge. This system also can be implemented in others knowledge domain. In fact, the system can provide a list of herb benefits focusing herbs in Malaysia. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20176/1/79.%20i-Herbs_%20An%20Expert%20System%20for%20Malaysian%20Herbs%20Identification%20Using%20Production%20Rules%20Approach1.pdf Roslina, Abd Hamid and Rahmah, Mokhtar and Nor Azhar, Ahmad and Fauziah, Zainuddin and Azma, Abdullah (2018) i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach. Advanced Science Letters, 24 (10). pp. 7815-7818. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13023 doi: 10.1166/asl.2018.13023
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software SB Plant culture
spellingShingle	QA76 Computer software SB Plant culture Roslina, Abd Hamid Rahmah, Mokhtar Nor Azhar, Ahmad Fauziah, Zainuddin Azma, Abdullah i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
description	Expert System in identifying herbs, using Production Rules in the system will solve a problem of using conventional and manual procedures. By using physicals structure, defining herbs is tough. Identifying herbs by using collective intelligence from the public can lead to issues on trustworthiness. Rule based is derived from the rules for herbs expert knowledge domain. Thus, the system can learn from its experience by using factual knowledge based. The system has the ability to give the herb’s family name, scientific name and common name. Therefore, this system will help public to identify herbs easier. The result yields 75% of system outputs are properly matched to human knowledge. This system also can be implemented in others knowledge domain. In fact, the system can provide a list of herb benefits focusing herbs in Malaysia.
format	Article
author	Roslina, Abd Hamid Rahmah, Mokhtar Nor Azhar, Ahmad Fauziah, Zainuddin Azma, Abdullah
author_facet	Roslina, Abd Hamid Rahmah, Mokhtar Nor Azhar, Ahmad Fauziah, Zainuddin Azma, Abdullah
author_sort	Roslina, Abd Hamid
title	i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
title_short	i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
title_full	i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
title_fullStr	i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
title_full_unstemmed	i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach
title_sort	i-herbs: an expert system for malaysian herbs identification using production rules approach
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/ http://umpir.ump.edu.my/id/eprint/20176/1/79.%20i-Herbs_%20An%20Expert%20System%20for%20Malaysian%20Herbs%20Identification%20Using%20Production%20Rules%20Approach1.pdf
first_indexed	2023-09-18T22:28:55Z
last_indexed	2023-09-18T22:28:55Z
_version_	1777416154228195328

i-Herbs: An Expert System for Malaysian Herbs Identification Using Production Rules Approach

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