RT-DETR-Tea: A Multi-Species Tea Bud Detection Model for Unstructured Environments

RT-DETR-Tea: A Multi-Species Tea Bud Detection Model for Unstructured Environments

Accurate bud detection is a prerequisite for automatic tea picking and yield statistics; however, current research suffers from missed detection due to the variety of singleness and false detection under complex backgrounds. Traditional target detection models are mainly based on CNN, but CNN can on...

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Bibliographic Details
Main Authors: Yiyong Chen, Yang Guo, Jianlong Li, Bo Zhou, Jiaming Chen, Man Zhang, Yingying Cui, Jinchi Tang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
multi-variety tea buds
deep learning
real-time detection Transformer (RT-DETR)
object recognition
feature fusion
Online Access:https://www.mdpi.com/2077-0472/14/12/2256
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