DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments
Abstract Accurate and robust recognition of daylily flower buds at the pre-bloom stage is essential for timely harvesting and quality preservation, yet remains highly challenging under natural field conditions due to the buds’ slender morphology, diverse orientations, dense distribution, and frequen...
Furkejuvvon:
| Váldodahkkit: | , , , , , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Springer
2026-02-01
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| Ráidu: | Journal of King Saud University: Computer and Information Sciences |
| Fáttát: | |
| Liŋkkat: | https://doi.org/10.1007/s44443-026-00559-z |
| Fáddágilkorat: |
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