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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Hlavní autoři:	Lei Liu, Yinyin Li, Qingyu Liu, Huihui Sun, Yeguo Sun, Xiaobo Shen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Horticulturae
Témata:	object detection apple disease intelligent agriculture lightweight improvement YOLOv10
On-line přístup:	https://www.mdpi.com/2311-7524/12/5/550
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