Oil palm loose fruit detection using YOLOv4 for an autonomous mobile robot collector

Oil palm loose fruit detection using YOLOv4 for an autonomous mobile robot collector

This study researches the usage of YOLOv4 for real-time loose fruit detection in oil palm plantations as the first step in implementing automation in the collection of loose fruits. Our system leverages high-resolution video data (4K and 1080p) from various plantation settings. To address the challe...

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Bibliographic Details
Main Authors: Japar, Ahmed Fareed, Ramli, Hafiz Rashidi, Norsahperi, Nor Mohd Haziq, Wan Hasan, Wan Zuha
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:http://psasir.upm.edu.my/id/eprint/113876/
http://psasir.upm.edu.my/id/eprint/113876/1/113876.pdf

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