Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning

Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning

To facilitate the realization of automated tea picking and enhance the speed and accuracy of tea leaf grading detection, this study proposes an improved YOLOv8 network for fresh tea leaf grading recognition. This approach integrates a Hierarchical Vision Transformer using Shifted Windows to replace...

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Bibliographic Details
Main Authors: Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Horticulturae
Subjects:
grading recognition
improved YOLOv8
Hierarchical Vision Transformer using Shifted Windows
Efficient Multi-Scale Attention Module with Cross-Spatial Learning
SIoU
Online Access:https://www.mdpi.com/2311-7524/10/12/1347
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