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Dragon Fruit Classification using Convolutional Neural Network

Tan, Ying Zhi (2020) Dragon Fruit Classification using Convolutional Neural Network. IRC, Universiti Teknologi PETRONAS. (Submitted)

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Abstract

The dragon fruit ripeness classification is typically the process for identify and classify dragon fruit based on ripening stages. The main objective of this project is to develop a classification system of ripeness stages for dragon fruit. The project will make use of Deep Learning approach and algorithm with Python programming language for the ripeness classification.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 24 Sep 2021 09:56
Last Modified: 24 Sep 2021 09:56
URI: http://utpedia.utp.edu.my/id/eprint/21805

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