Flower identification using fuzzy expert system / Mohd Amiruddin Awi

Nowadays, people like to do everything within the computer. With this technology, help many people in doing their job easier and faster or even cheaper. In identifying the flower name, many of us use manually by finding the flower in books because difficult to find any system that can help people...

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Main Author: Awi, Mohd Amiruddin
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf
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id my-uitm-ir.1594
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spelling my-uitm-ir.15942019-07-19T07:37:38Z Flower identification using fuzzy expert system / Mohd Amiruddin Awi 2006 Awi, Mohd Amiruddin Electronic Computers. Computer Science Nowadays, people like to do everything within the computer. With this technology, help many people in doing their job easier and faster or even cheaper. In identifying the flower name, many of us use manually by finding the flower in books because difficult to find any system that can help people in identify the flower. For the solution, this prototype is being developed. A Flower Identification using Fuzzy Expert System is a web-based prototype developed to identify and recognize the flower name and extra information. This prototype recognizes the flower from the input data from user. The valuable input data includes color of flower petals, number of petals and calculation on one flower petal. The prototype process the input and identify the flower have similarity with the input. The final results from prototype are flower image and information about that flower. At the end of the development, project objectives accomplished. The project should be developed using fuzzy logic expert system. The prototype output which is flower image is same as the unknown flower image. The methods used are fuzzy logic for the color determination and expert system. As a conclusion, this prototype achieved the objectives and succeed in doing their task for identify the unknown flower. 2006 Thesis https://ir.uitm.edu.my/id/eprint/1594/ https://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Electronic Computers
Computer Science
spellingShingle Electronic Computers
Computer Science
Awi, Mohd Amiruddin
Flower identification using fuzzy expert system / Mohd Amiruddin Awi
description Nowadays, people like to do everything within the computer. With this technology, help many people in doing their job easier and faster or even cheaper. In identifying the flower name, many of us use manually by finding the flower in books because difficult to find any system that can help people in identify the flower. For the solution, this prototype is being developed. A Flower Identification using Fuzzy Expert System is a web-based prototype developed to identify and recognize the flower name and extra information. This prototype recognizes the flower from the input data from user. The valuable input data includes color of flower petals, number of petals and calculation on one flower petal. The prototype process the input and identify the flower have similarity with the input. The final results from prototype are flower image and information about that flower. At the end of the development, project objectives accomplished. The project should be developed using fuzzy logic expert system. The prototype output which is flower image is same as the unknown flower image. The methods used are fuzzy logic for the color determination and expert system. As a conclusion, this prototype achieved the objectives and succeed in doing their task for identify the unknown flower.
format Thesis
qualification_level Bachelor degree
author Awi, Mohd Amiruddin
author_facet Awi, Mohd Amiruddin
author_sort Awi, Mohd Amiruddin
title Flower identification using fuzzy expert system / Mohd Amiruddin Awi
title_short Flower identification using fuzzy expert system / Mohd Amiruddin Awi
title_full Flower identification using fuzzy expert system / Mohd Amiruddin Awi
title_fullStr Flower identification using fuzzy expert system / Mohd Amiruddin Awi
title_full_unstemmed Flower identification using fuzzy expert system / Mohd Amiruddin Awi
title_sort flower identification using fuzzy expert system / mohd amiruddin awi
granting_institution Universiti Teknologi MARA
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2006
url https://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf
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