YOLO-ALD: An Efficient and Robust Lightweight Model for Apple Leaf Disease Detection in Complex Orchard Environments
Real-time detection of apple leaf diseases in orchard environments faces ongoing challenges, particularly in preserving fine-grained disease features with limited computing resources. To address these issues, we propose a high-precision lightweight model based on YOLOv10n, called YOLO-ALD. First, we...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2026-04-01
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| Серія: | Horticulturae |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2311-7524/12/5/550 |
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