Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli

The programming is a subject that are used by developer to provide the system. Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human pr...

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Bibliographic Details
Main Author:	Rosli, Mohamad Shafiq
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Electronic Computers Computer Science Android Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/58867/1/58867.pdf
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id	my-uitm-ir.58867
record_format	uketd_dc
spelling	my-uitm-ir.588672022-08-05T03:52:13Z Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli 2021-02 Rosli, Mohamad Shafiq Electronic Computers. Computer Science Android Neural networks (Computer science) The programming is a subject that are used by developer to provide the system. Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human problems. Many developers especially beginner student usually facing problem to find difficult. The value of deep learning has led to the inclusion of project development activities in computer science course. The project aimed to implement web-based banana species recognition system. The method of the project is convolutional neural network. Convolutional neural network is machine learning area that provide the system to training and testing datasets. There are many machines learning types and classification techniques have widely used nowadays such as Support Vector Machine, K-Nearest Neighbors, Neural Network and Naïve-Bayes Classifier are defined and studied. The design and implementation of web-based application will also be stated to state the working progress for the final year project. This include limitations and future improvements that could be added in the near futures. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/58867/ https://ir.uitm.edu.my/id/eprint/58867/1/58867.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Md Jelas, Imran
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md Jelas, Imran
topic	Electronic Computers Computer Science Android Neural networks (Computer science)
spellingShingle	Electronic Computers Computer Science Android Neural networks (Computer science) Rosli, Mohamad Shafiq Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
description	The programming is a subject that are used by developer to provide the system. Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human problems. Many developers especially beginner student usually facing problem to find difficult. The value of deep learning has led to the inclusion of project development activities in computer science course. The project aimed to implement web-based banana species recognition system. The method of the project is convolutional neural network. Convolutional neural network is machine learning area that provide the system to training and testing datasets. There are many machines learning types and classification techniques have widely used nowadays such as Support Vector Machine, K-Nearest Neighbors, Neural Network and Naïve-Bayes Classifier are defined and studied. The design and implementation of web-based application will also be stated to state the working progress for the final year project. This include limitations and future improvements that could be added in the near futures.
format	Thesis
qualification_level	Bachelor degree
author	Rosli, Mohamad Shafiq
author_facet	Rosli, Mohamad Shafiq
author_sort	Rosli, Mohamad Shafiq
title	Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
title_short	Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
title_full	Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
title_fullStr	Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
title_full_unstemmed	Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
title_sort	banana recognition system using convolutional neural network / mohamad shafiq rosli
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/58867/1/58867.pdf
_version_	1783735005128687616

Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli

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