Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring

Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring

Accurately detecting roses in UAV-captured greenhouse imagery presents significant challenges due to occlusions, scale variability, and complex environmental conditions. To address these issues, this study introduces ROSE-MAMBA-YOLO, a hybrid detection framework that combines the efficiency of YOLOv...

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Bibliographic Details
Main Authors: Sicheng You, Boheng Li, Yijia Chen, Zhiyan Ren, Yongying Liu, Qingyang Wu, Jianghan Tao, Zhijie Zhang, Chenyu Zhang, Feng Xue, Yulun Chen, Guochen Zhang, Jundong Chen, Jiaqi Wang, Fan Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Plant Science
Subjects:
YOLOv11
mamba
precision agriculture
rose detection
UAV-based monitoring
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1607582/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1607582/full

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