Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach

Fuzzy Logic (FL) is a form of knowledge representation which is appropriate for notions that cannot be define precisely, but depends upon its context. An Expert System (ES) is a computer program that uses human knowledge to solve problems in typical tasks, which normally requires human intelligence....

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Main Author:	Nureize, Arbaiy
Format:	Thesis
Language:	eng eng
Published:	2004
Subjects:	QA76.76 Fuzzy System.
Online Access:	https://etd.uum.edu.my/1398/1/NUREIZE_ARBAIY.pdf https://etd.uum.edu.my/1398/2/1.NUREIZE_ARBAIY.pdf
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id	my-uum-etd.1398
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76.76 Fuzzy System.
spellingShingle	QA76.76 Fuzzy System. Nureize, Arbaiy Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
description	Fuzzy Logic (FL) is a form of knowledge representation which is appropriate for notions that cannot be define precisely, but depends upon its context. An Expert System (ES) is a computer program that uses human knowledge to solve problems in typical tasks, which normally requires human intelligence. As knowledge involved in pest management is imperfect, vague and not completely reliable, fuzzy logic is integrated in this expert system to deal with the approximate reasoning. Expert system and fuzzy logic have their own significant capabilities the combination of both technologies that forms a fuzzy-expert system or a hybrid system could increase the systems performance (Herrmann, 1996). Due to the capability of fuzzy logic and expert system, pest activity prognosis in rice field using fuzzy expert approach developed to provide information to the farmers and researchers through the internet. Since rice is the main staple food of the Malaysian and Kedah is known as 'rice bowl' Malaysia, therefore this study focuses on the pest's activity in the rice fields. In MyPEST, the type of pest that causes damage to the rice plant is determined by the expert system. On the other hand, Fuzzy Logic approach is used to forecast the pest activity level. This is important so that early treatment or action can be applied before damage to the plant becomes worst. The system helps the user by managing the consultation which is performed by the expert system and fuzzy logic to make prediction and dealing with the natural and uncertainly data using linguistic variables. This web based application system also helps the farmers as well as agriculture institution representatives to manage farm successfully and to using more than one attributes involved, the less rigid 3 dimensional decision graph was produced. The identification for the type of pest is also involved in the first phase of this system which followed by the activity forecasting based on the identified pest. The system has been verified by MARDI entomologist and the system is confirmed to benefit the researchers at MARDI, MADA and DOA particularly, and the farmers at large.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Nureize, Arbaiy
author_facet	Nureize, Arbaiy
author_sort	Nureize, Arbaiy
title	Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
title_short	Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
title_full	Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
title_fullStr	Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
title_full_unstemmed	Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach
title_sort	pest activity prognosis in rice fields using fuzzy expert system approach
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2004
url	https://etd.uum.edu.my/1398/1/NUREIZE_ARBAIY.pdf https://etd.uum.edu.my/1398/2/1.NUREIZE_ARBAIY.pdf
_version_	1747827138594078720
spelling	my-uum-etd.13982013-07-24T12:11:47Z Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach 2004 Nureize, Arbaiy Sekolah Siswazah Sekolah Siswazah QA76.76 Fuzzy System. Fuzzy Logic (FL) is a form of knowledge representation which is appropriate for notions that cannot be define precisely, but depends upon its context. An Expert System (ES) is a computer program that uses human knowledge to solve problems in typical tasks, which normally requires human intelligence. As knowledge involved in pest management is imperfect, vague and not completely reliable, fuzzy logic is integrated in this expert system to deal with the approximate reasoning. Expert system and fuzzy logic have their own significant capabilities the combination of both technologies that forms a fuzzy-expert system or a hybrid system could increase the systems performance (Herrmann, 1996). Due to the capability of fuzzy logic and expert system, pest activity prognosis in rice field using fuzzy expert approach developed to provide information to the farmers and researchers through the internet. Since rice is the main staple food of the Malaysian and Kedah is known as 'rice bowl' Malaysia, therefore this study focuses on the pest's activity in the rice fields. In MyPEST, the type of pest that causes damage to the rice plant is determined by the expert system. On the other hand, Fuzzy Logic approach is used to forecast the pest activity level. This is important so that early treatment or action can be applied before damage to the plant becomes worst. The system helps the user by managing the consultation which is performed by the expert system and fuzzy logic to make prediction and dealing with the natural and uncertainly data using linguistic variables. This web based application system also helps the farmers as well as agriculture institution representatives to manage farm successfully and to using more than one attributes involved, the less rigid 3 dimensional decision graph was produced. The identification for the type of pest is also involved in the first phase of this system which followed by the activity forecasting based on the identified pest. The system has been verified by MARDI entomologist and the system is confirmed to benefit the researchers at MARDI, MADA and DOA particularly, and the farmers at large. 2004 Thesis https://etd.uum.edu.my/1398/ https://etd.uum.edu.my/1398/1/NUREIZE_ARBAIY.pdf application/pdf eng validuser https://etd.uum.edu.my/1398/2/1.NUREIZE_ARBAIY.pdf application/pdf eng public masters masters Universiti Utara Malaysia ASP, ADO and XML Complete, Sybex Inc 2001 Abraham, A., and Nath, B. (2001). Hybrid Intelligent Systems Design - A Review of a Decade of Research Adlassnig, K.P and Kolarz, G. (1982). 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Pest Activity Prognosis in Rice Fields Using Fuzzy Expert System Approach

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