Lightweight tea bud detection method based on improved YOLOv5

Abstract Tea bud detection technology is of great significance in realizing automated and intelligent plucking of tea buds. This study proposes a lightweight tea bud identification model based on modified Yolov5 to increase the picking accuracy and labor efficiency of intelligent tea bud picking whi...

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Bibliographic Details
Main Authors: Kun Zhang, Bohan Yuan, Jingying Cui, Yuyang Liu, Long Zhao, Hua Zhao, Shuangchen Chen
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-82529-x
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