Fish classification using machine learning / Ahmad Syahmi Shahriman

Fish classification may be identified manually from its characteristics such as the scale of the fish, shape of the head of a fish, the size of tail, the size of the body and more, which can be confusing to non-professional people. The purpose of this project is to assist people that are non-expert,...

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Bibliographic Details
Main Author:	Shahriman, Ahmad Syahmi
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Electronic Computers Computer Science Mobile computing Android Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/59446/1/59446.pdf
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id	my-uitm-ir.59446
record_format	uketd_dc
spelling	my-uitm-ir.594462022-07-26T06:37:11Z Fish classification using machine learning / Ahmad Syahmi Shahriman 2021-07 Shahriman, Ahmad Syahmi Electronic Computers. Computer Science Mobile computing Android Neural networks (Computer science) Fish classification may be identified manually from its characteristics such as the scale of the fish, shape of the head of a fish, the size of tail, the size of the body and more, which can be confusing to non-professional people. The purpose of this project is to assist people that are non-expert, to identify the type of fish based on the image given to the project. The project will consist of a fish dataset of commonly sold fish in Malaysia. The user is able to use the application which is available for the Android operating system, and able to detect the type of fish the user has given to the application. The other purpose of the project is to educate people about fish, as most people in Malaysia lack of knowledge about fisheries. 2021-07 Thesis https://ir.uitm.edu.my/id/eprint/59446/ https://ir.uitm.edu.my/id/eprint/59446/1/59446.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Isawasan, Pradeep
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Isawasan, Pradeep
topic	Electronic Computers Computer Science Mobile computing Android Neural networks (Computer science)
spellingShingle	Electronic Computers Computer Science Mobile computing Android Neural networks (Computer science) Shahriman, Ahmad Syahmi Fish classification using machine learning / Ahmad Syahmi Shahriman
description	Fish classification may be identified manually from its characteristics such as the scale of the fish, shape of the head of a fish, the size of tail, the size of the body and more, which can be confusing to non-professional people. The purpose of this project is to assist people that are non-expert, to identify the type of fish based on the image given to the project. The project will consist of a fish dataset of commonly sold fish in Malaysia. The user is able to use the application which is available for the Android operating system, and able to detect the type of fish the user has given to the application. The other purpose of the project is to educate people about fish, as most people in Malaysia lack of knowledge about fisheries.
format	Thesis
qualification_level	Bachelor degree
author	Shahriman, Ahmad Syahmi
author_facet	Shahriman, Ahmad Syahmi
author_sort	Shahriman, Ahmad Syahmi
title	Fish classification using machine learning / Ahmad Syahmi Shahriman
title_short	Fish classification using machine learning / Ahmad Syahmi Shahriman
title_full	Fish classification using machine learning / Ahmad Syahmi Shahriman
title_fullStr	Fish classification using machine learning / Ahmad Syahmi Shahriman
title_full_unstemmed	Fish classification using machine learning / Ahmad Syahmi Shahriman
title_sort	fish classification using machine learning / ahmad syahmi shahriman
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/59446/1/59446.pdf
_version_	1783735032761810944

Fish classification using machine learning / Ahmad Syahmi Shahriman

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