Classification of oil palm tree conditions from UAV imagery using the YOLO object detector
Oil palm tree monitoring is essential to track productivity and prevent diseases, but manual methods are labor-intensive, cost-prohibitive, and error-prone. While existing remote sensing data and deep learning methods offer efficient alternatives for monitoring, achieving a highly accurate tree cond...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-05-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/20964471.2025.2491881 |
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