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

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...

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Bibliographic Details
Main Authors: Tao Wu, Zhonghua Miao, Wenlei Huang, Wenkai Han, Zhengwei Guo, Tao Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agriculture
Subjects:
fruit detection
fruit segmentation
deep learning
occluded targets
attention mechanisms
Online Access:https://www.mdpi.com/2077-0472/14/11/1958
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https://www.mdpi.com/2077-0472/14/11/1958

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