Fruit Classification and Defect Detection System Using Faster Region Convolutional Neural Network
Malaysia is still a net importer of both fresh and refined fruits and the fresh fruit export price is around USD 174 million. Various methods are presented to improve fruit and vegetable production. Using the latest technologies and knowledge-based production systems, conventional farms will b...
Saved in:
| Main Author: | Aziz, Amir Aizat |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.20890 / |
| Published: |
IRC
2019
|
| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/20890/1/AMIR%20AIZAT_23010.pdf http://utpedia.utp.edu.my/20890/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dragon Fruit Classification using Convolutional Neural Network
by: Tan, Ying Zhi
Published: (2020) -
Aedes Larvae Classification and Detection (ALCD) System by Using Deep Learning
by: Zainol Azman, Muhammad Izzul Azri
Published: (2020) -
Predictive Analytics for Clothing Store using Artificial Neural Network
by: Mohd Jafri, Nur Farah Jazlin
Published: (2019) -
Prediction of Student Academic Performance using Artificial Neural Network
by: SUBRAMANIAM, KAUSALIYA
Published: (2019) -
PREDICTIVE ANALYTICS FOR CRUDE OIL PRICE USING RNN�LSTM NEURAL NETWORK
by: Zaidi, Ahmad Naqib
Published: (2019)