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 defined 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 intellige...

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Main Author:	Arbaiy, Nureize
Format:	Thesis
Language:	English
Published:	2004
Subjects:	SB Plant culture SB599 -990.5 Pests and diseases
Online Access:	http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf
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spelling	my-uthm-ep.87522023-05-16T02:45:36Z Pest activity prognosis in rice fields using fuzzy expert system approach 2004-06 Arbaiy, Nureize SB Plant culture SB599 -990.5 Pests and diseases Fuzzy Logic (FL) is a form of knowledge representation which is appropriate for notions that cannot be defined 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 fuzzyexpert 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 was 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 uncertainty 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 improve the quality and quantity of rice production. In this study, the forecasting process using more than one attributes was explored. From the findings, if 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 DO A particularly, and the farmers at large. 2004-06 Thesis http://eprints.uthm.edu.my/8752/ http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf text en public mphil masters Universiti Utara Malaysia Sekolah Pengajian Siswazah
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	SB Plant culture SB599 -990.5 Pests and diseases
spellingShingle	SB Plant culture SB599 -990.5 Pests and diseases Arbaiy, Nureize 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 defined 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 fuzzyexpert 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 was 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 uncertainty 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 improve the quality and quantity of rice production. In this study, the forecasting process using more than one attributes was explored. From the findings, if 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 DO A particularly, and the farmers at large.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Arbaiy, Nureize
author_facet	Arbaiy, Nureize
author_sort	Arbaiy, Nureize
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 Pengajian Siswazah
publishDate	2004
url	http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf
_version_	1776103398976782336

Pest activity prognosis in rice fields using fuzzy expert system approach

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