Tan, Ying Zhi (2020) Dragon Fruit Classification using Convolutional Neural Network. [Final Year Project] (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 |
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Subjects: | Q Science > Q Science (General) |
Departments / MOR / COE: | Sciences and Information Technology > Computer and Information Sciences |
Depositing User: | Mr 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 |