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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Bibliographic Details
Main Author:	Idris, Norhaleda
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Electronic computers. Computer science Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems
Online Access:	http://ir.uitm.edu.my/id/eprint/21374/ http://ir.uitm.edu.my/id/eprint/21374/1/TD_NORHALEDA%20IDRIS%20M%20CS%2017_5.pdf

id	uitm-21374
recordtype	eprints
spelling	uitm-213742018-10-25T01:38:21Z http://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 http://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. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science Programming. Rule-based programming. Backtrack programming Expert systems (Computer science). Fuzzy expert systems
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
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.
format	Student Project
author	Idris, Norhaleda
author_facet	Idris, Norhaleda
author_sort	Idris, Norhaleda
title	Oil palm tree disease diagnosis using expert system / Norhaleda Idris
title_short	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_sort	oil palm tree disease diagnosis using expert system / norhaleda idris
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21374/ http://ir.uitm.edu.my/id/eprint/21374/1/TD_NORHALEDA%20IDRIS%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:24Z
last_indexed	2023-09-18T23:06:24Z
_version_	1777418512617177088

Oil palm tree disease diagnosis using expert system / Norhaleda Idris

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