Oil palm tree disease diagnosis using expert system / Norhaleda Idris
Treatment and care of oil palm tree at plantation field is important to ensure the oil palm tree is free from any disease. However, it is an uneasy task because the smallholder has a lack of knowledge and facing difficulty in order to obtain the accurate information of oil palm tree disease in an af...
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| Format: | Student Project |
| Language: | English |
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Faculty of Computer and Mathematical Sciences
2017
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/21374/ |
| _version_ | 1848805229316800512 |
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| author | Idris, Norhaleda |
| author_facet | Idris, Norhaleda |
| author_sort | Idris, Norhaleda |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | Treatment and care of oil palm tree at plantation field is important to ensure the oil palm tree is free from any disease. However, it is an uneasy task because the smallholder has a lack of knowledge and facing difficulty in order to obtain the accurate information of oil palm tree disease in an affordable way. Besides that, the process for diagnosing the disease is also timely. To overcome the problems, this study proposes a new system for diagnosing oil palm tree disease using the expert system. The objectives of this project are to analyse the symptoms of oil palm tree disease, to develop an expert system that diagnose oil palm tree disease and to test the functionality and usability of system. Expert system method will be applied in the project due to its characteristics of high quality performance and high speed in obtaining the result. An Agile methodology will be used as a software development life cycle in this study. The propose project is expected to help the user to diagnose the oil palm disease faster and more accurately compare to diagnose manually. Besides, it able to help the developer to learn how to develop the rule to diagnose the disease, what process involved to diagnose the disease and how to apply expert system method. Based on the functionality testing conducted, it is showed that all the function in the system is success and the usability testing showed that 94% of 17 respondents satisfied with this system. |
| first_indexed | 2025-11-14T22:07:43Z |
| format | Student Project |
| id | uitm-21374 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:07:43Z |
| publishDate | 2017 |
| publisher | Faculty of Computer and Mathematical Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-213742018-10-25T01:38:21Z https://ir.uitm.edu.my/id/eprint/21374/ Oil palm tree disease diagnosis using expert system / Norhaleda Idris Idris, Norhaleda Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems Treatment and care of oil palm tree at plantation field is important to ensure the oil palm tree is free from any disease. However, it is an uneasy task because the smallholder has a lack of knowledge and facing difficulty in order to obtain the accurate information of oil palm tree disease in an affordable way. Besides that, the process for diagnosing the disease is also timely. To overcome the problems, this study proposes a new system for diagnosing oil palm tree disease using the expert system. The objectives of this project are to analyse the symptoms of oil palm tree disease, to develop an expert system that diagnose oil palm tree disease and to test the functionality and usability of system. Expert system method will be applied in the project due to its characteristics of high quality performance and high speed in obtaining the result. An Agile methodology will be used as a software development life cycle in this study. The propose project is expected to help the user to diagnose the oil palm disease faster and more accurately compare to diagnose manually. Besides, it able to help the developer to learn how to develop the rule to diagnose the disease, what process involved to diagnose the disease and how to apply expert system method. Based on the functionality testing conducted, it is showed that all the function in the system is success and the usability testing showed that 94% of 17 respondents satisfied with this system. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/21374/1/TD_NORHALEDA%20IDRIS%20M%20CS%2017_5.pdf Idris, Norhaleda (2017) Oil palm tree disease diagnosis using expert system / Norhaleda Idris. (2017) [Student Project] <http://terminalib.uitm.edu.my/21374.pdf> (Unpublished) |
| spellingShingle | Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems Idris, Norhaleda Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title | Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title_full | Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title_fullStr | Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title_full_unstemmed | Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title_short | Oil palm tree disease diagnosis using expert system / Norhaleda Idris |
| title_sort | oil palm tree disease diagnosis using expert system / norhaleda idris |
| topic | Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems |
| url | https://ir.uitm.edu.my/id/eprint/21374/ |