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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
http://eprints.uthm.edu.my/8752/
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spelling my.uthm.eprints.87522023-05-16T02:45:36Z http://eprints.uthm.edu.my/8752/ Pest activity prognosis in rice fields using fuzzy expert system approach 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 NonPeerReviewed text en http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf Arbaiy, Nureize (2004) Pest activity prognosis in rice fields using fuzzy expert system approach. Masters thesis, Universiti Utara Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
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
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
publishDate 2004
url http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf
http://eprints.uthm.edu.my/8752/
_version_ 1768009930120364032
score 13.211869

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