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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113876/ http://psasir.upm.edu.my/id/eprint/113876/1/113876.pdf |