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Detection of oil palm fronds using vision system

Sabang, Diana Sabryna Sirah (2019) Detection of oil palm fronds using vision system. [Project Paper] (Submitted)

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Abstract

Oil palm plantations in Malaysia still use traditional method to prune the fronds. Even with innovation in mechanization and automation, the created oil palm fronds cutter still relies on human vision. As the country’s technology is growing, this creates the idea of vision system in line with human vision. This image recognition system has relation to image processing. Edge detection algorithm is useful because it helps to create the object’s perimeter. This paper emphasize on analyzing RGB image using edge detection and some other morphological parameters. Developed algorithm is analyzed for its performance and will be enhance in future.

Item Type: Project Paper
Faculty: Faculty of Engineering
Depositing User: Ms Siti Mariam Giman
Date Deposited: 17 Nov 2022 06:46
Last Modified: 17 Nov 2022 06:46
URI: http://psaspb.upm.edu.my/id/eprint/535

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