ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION

HISYAM, MUHAMMAD DANISH (2022) ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION. [Final Year Project] (Submitted)

[thumbnail of ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION.pdf] Text
ANOMALY DETECTION IN PALM OIL TREE USING OBJECT DETECTION.pdf
Restricted to Registered users only

Download (2MB)

Abstract

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 greatest possible quality of the palm oil tree.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Depositing User: Ms Nurul Aidayana Mohammad Noordin
Date Deposited: 18 May 2023 04:03
Last Modified: 18 May 2023 04:03
URI: http://utpedia.utp.edu.my/id/eprint/24513

Actions (login required)

View Item
View Item