A method of identification and localization of tea buds based on lightweight improved YOLOV5

A method of identification and localization of tea buds based on lightweight improved YOLOV5

The low degree of intelligence and standardization of tea bud picking, as well as laborious and time-consuming manual harvesting, bring significant challenges to the sustainable development of the high-quality tea industry. There is an urgent need to investigate the critical technologies of intellig...

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Bibliographic Details
Main Authors: Yuanhong Wang, Jinzhu Lu, Qi Wang, Zongmei Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Plant Science
Subjects:
tea buds
target detection
YOLOV5M-SBSD
lightweight modeling
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1488185/full
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