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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2020
|
| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/21805/1/23302_Tan%20Ying%20Zhi.pdf http://utpedia.utp.edu.my/21805/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-utp-utpedia.21805 |
|---|---|
| record_format |
eprints |
| spelling |
my-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 |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
| url_provider |
http://utpedia.utp.edu.my/ |
| 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_facet |
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_ |
1739832915018121216 |
| score |
13.18916 |