Improved YOLOv7-Tiny Complex Environment Citrus Detection Based on Lightweighting

Improved YOLOv7-Tiny Complex Environment Citrus Detection Based on Lightweighting

In complex citrus orchard environments, light changes, branch shading, and fruit overlapping impact citrus detection accuracy. This paper proposes the citrus detection model YOLO-DCA in complex environments based on the YOLOv7-tiny model. We used depth-separable convolution (DWConv) to replace the o...

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Bibliographic Details
Main Authors: Bo Gu, Changji Wen, Xuanzhi Liu, Yingjian Hou, Yuanhui Hu, Hengqiang Su
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Agronomy
Subjects:
computer vision
deep learning
attention mechanism
citrus detection
YOLOv7-tiny
Online Access:https://www.mdpi.com/2073-4395/13/11/2667

Internet

https://www.mdpi.com/2073-4395/13/11/2667

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