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.
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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 |
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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 |