SGW-YOLOv8n: An Improved YOLOv8n-Based Model for Apple Detection and Segmentation in Complex Orchard Environments

This study addresses the problem of detecting occluded apples in complex unstructured environments in orchards and proposes an apple detection and segmentation model based on improved YOLOv8n-SGW-YOLOv8n. The model improves apple detection and segmentation by combining the SPD-Conv convolution modul...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Tao Wu, Zhonghua Miao, Wenlei Huang, Wenkai Han, Zhengwei Guo, Tao Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-10-01
Sarja:	Agriculture
Aiheet:	fruit detection fruit segmentation deep learning occluded targets attention mechanisms
Linkit:	https://www.mdpi.com/2077-0472/14/11/1958
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