A Long-Range Detection Method for Blueberries Based on an Improved YOLOv11n Model
In recent years, China’s blueberry cultivation area has continued to expand. Accurate identification of ripe blueberries is essential for intelligent harvesting, as it enables the determination of optimal harvest timing by quantifying the maturity distribution in images. To address the issue...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11540149/ |
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