Automatic detection of oil palm fruits from UAV images using an improved YOLO model
Manual harvesting of loose fruits in the oil palm plantation is both time consuming and physically laborious. Automatic harvesting system is an alternative solution for precision agriculture which requires accurate visual information of the targets. Current state-of-the-art one-stage object detectio...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41829/ |
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