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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| Format: | Thesis |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8752/1/24p%20NUREIZE%20ARBAIY.pdf http://eprints.uthm.edu.my/8752/ |
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| Summary: | 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. |
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