Research on Apple Detection and Tracking Count in Complex Scenes Based on the Improved YOLOv7-Tiny-PDE

Accurately detecting apple fruit can crucially assist in estimating the fruit yield in apple orchards in complex scenarios. In such environments, the factors of density, leaf occlusion, and fruit overlap can affect the detection and counting accuracy. This paper proposes an improved YOLOv7-Tiny-PDE...

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Hlavní autoři:	Dongxuan Cao, Wei Luo, Ruiyin Tang, Yuyan Liu, Jiasen Zhao, Xuqing Li, Lihua Yuan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-02-01
Edice:	Agriculture
Témata:	smart orchard improved YOLOv7-Tiny occlusion DyHead EIoU DeepSort
On-line přístup:	https://www.mdpi.com/2077-0472/15/5/483
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