Flower identification using fuzzy expert system / Mohd Amiruddin Awi

Awi, Mohd Amiruddin (2006) Flower identification using fuzzy expert system / Mohd Amiruddin Awi. Degree thesis, Universiti Teknologi MARA.


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.


Item Type: Thesis (Degree)
Email / ID Num.
Awi, Mohd Amiruddin
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/1594
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