Dragon Fruit Classification using Convolutional Neural Network

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 a...

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Main Author: Tan, Ying Zhi
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21805 /
Published: IRC 2020
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/21805/1/23302_Tan%20Ying%20Zhi.pdf
http://utpedia.utp.edu.my/21805/
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id utp-utpedia.21805
recordtype eprints
spelling utp-utpedia.218052021-09-24T09:56:40Z http://utpedia.utp.edu.my/21805/ Dragon Fruit Classification using Convolutional Neural Network Tan, Ying Zhi Q Science (General) 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. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21805/1/23302_Tan%20Ying%20Zhi.pdf Tan, Ying Zhi (2020) Dragon Fruit Classification using Convolutional Neural Network. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Tan, Ying Zhi
Dragon Fruit Classification using Convolutional Neural Network
description 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.
format Final Year Project
author Tan, Ying Zhi
author_sort Tan, Ying Zhi
title Dragon Fruit Classification using Convolutional Neural Network
title_short Dragon Fruit Classification using Convolutional Neural Network
title_full Dragon Fruit Classification using Convolutional Neural Network
title_fullStr Dragon Fruit Classification using Convolutional Neural Network
title_full_unstemmed Dragon Fruit Classification using Convolutional Neural Network
title_sort dragon fruit classification using convolutional neural network
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/21805/1/23302_Tan%20Ying%20Zhi.pdf
http://utpedia.utp.edu.my/21805/
_version_ 1741195788905611264
score 11.62408

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