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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| Format: | Thesis |
| Language: | English |
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2006
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| Online Access: | http://ir.uitm.edu.my/id/eprint/1594/ http://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf |
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uitm-1594 |
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eprints |
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uitm-15942019-07-19T07:37:38Z http://ir.uitm.edu.my/id/eprint/1594/ Flower identification using fuzzy expert system / Mohd Amiruddin Awi 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 NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf Awi, Mohd Amiruddin (2006) Flower identification using fuzzy expert system / Mohd Amiruddin Awi. Degree thesis, Universiti Teknologi MARA. |
| 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 |
| 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 |
| 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 |
| publishDate |
2006 |
| url |
http://ir.uitm.edu.my/id/eprint/1594/ http://ir.uitm.edu.my/id/eprint/1594/1/TD_MOHD%20AMIRUDDIN%20AWI%20CS%2006_5%20P01.pdf |
| first_indexed |
2023-09-18T22:46:05Z |
| last_indexed |
2023-09-18T22:46:05Z |
| _version_ |
1777417233906008064 |