ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION
Malaysia is now the world's leading exporter of palm oil, despite being the world's second largest producer, since it covers more than 18 percent of the country's area and employs roughly 400,000 people directly. To keep this agricultural economy alive, it is vital to sustain the grea...
Saved in:
Main Author: | HISYAM, MUHAMMAD DANISH |
---|---|
Format: | Final Year Project |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/id/eprint/24513/1/ANOMALY%20DETECTION%20IN%20PALM%20OIL%20TREE%20USING%20OBJECT%20DETECTION.pdf http://utpedia.utp.edu.my/id/eprint/24513/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cybersecurity Anomaly Detection using Power BI
by: Fairuz, Muhammad Irfan
Published: (2022) -
Anomaly detection with Attention-based deep autoencoder
by: Yong, Hong Long
Published: (2022) -
Anomaly Detection Using Deep Neural Network for
IoT Architecture
by: Zeeshan, Ahmad, et al.
Published: (2021) -
Image Based Oil Palm Tree Crowns Detection
by: Muhammad Afif Zakwan, Zaili
Published: (2020) -
Detection Oil Palm Tree Growth Variability using Field Spectroradiometer
by: Hashim, Mazlan, et al.
Published: (2001)