Yee, Mun Jun (2022) Correlation between Palm Oil Fruitlet Colour and Oil Yield with a Deep Neural Network. Final Year Project (Bachelor), Tunku Abdul Rahman University College.
|
Text
YEE MUN JUN_Thesis.pdf Restricted to Registered users only Download (51MB) |
Abstract
This study carried out is to determine if there is a correlation between palm oil fruitlets color and oil yield with a deep neural network. The correlation is look at through the similarities between the results from the ripeness classification of the oil palm fruitlets from a convolution neural network with the color of the fruits and the oil yield based on ripeness based on the mass, volume and density of the fruitlets using fuzzy inference system. A total of 169 fruitlet samples was used to conduct this study which are provided by Genting plantations. the CNN was trained with images generated by augmenting the original samples.
| Item Type: | Final Year Project |
|---|---|
| Subjects: | Technology > Mechanical engineering and machinery Technology > Electrical engineering. Electronics engineering |
| Faculties: | Faculty of Engineering and Technology > Bachelor of Mechatronics Engineering with Honours |
| Depositing User: | Library Staff |
| Date Deposited: | 04 Mar 2022 07:44 |
| Last Modified: | 04 Mar 2022 07:44 |
| URI: | https://eprints.tarc.edu.my/id/eprint/20397 |