ArticleFrontiers in plant science2025
Rose-Mamba-YOLO: an enhanced framework for efficient and accurate greenhouse rose monitoring.
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Occlusion-Robust Cattle Pose Estimation for Precision Livestock Monitoring Using Hierarchical Locality Refinement.Animals : an open access journal from MDPI · 2026Article
- A YOLOv8 deep learning model for detecting labral injury via hip magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
- Mamba-YOLO-SRC: An Automatic Deep Learning Framework for Respiratory Behavior Detection in the Chinese Giant Salamander.Animals : an open access journal from MDPI · 2026Article
- Remote Sensing Applications in Medicinal Plant Monitoring and Quality Assessment: A Review.Sensors (Basel, Switzerland) · 2026Review
- MSFE-YOLO: A Steel Surface Defect Detection Algorithm Integrating Multi-Scale Frequency Domain and Defect-Aware Attention.Sensors (Basel, Switzerland) · 2026Article
- Enhancing vision Mamba with two-dimensional position embedding and multiscale fusion for medical image segmentation.Quantitative imaging in medicine and surgery · 2026Article
- Fine-Grained Age-Class Identification of Moso Bamboo Using an Improved Lightweight YOLO11 Model.Journal of imaging · 2026Article
- CED-RTDETR: a contour-aware evidence-guided decoupled network for rice leaf disease detection.Frontiers in plant science · 2026Article
- Deep learning techniques for early detection and classification of leaf diseases in crops.Frontiers in plant science · 2026Article
- MFD-YOLO: an efficient instance segmentation model for precision monitoring of UAV-based lychee orchards.Frontiers in plant science · 2026Article
- Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images.Frontiers in plant science · 2026Article
- A lightweight YOLOv11-based model for rice false smut detection under complex field conditions.Frontiers in plant science · 2026Article
- CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments.Frontiers in plant science · 2026Article
- Lightweight pear detection in unstructured orchards via selective information propagation.Frontiers in plant science · 2026Article
- YOLO11-ALi: an improved YOLO11-based model for blueberry target detection from full flowering to fruit expansion in greenhouse environments.Frontiers in plant science · 2026Article
- Flora-YOLO: A lightweight framework for real-time rose grading on edge devices via structural optimization and feature refinement.PloS one · 2026Article
- ALSDet: a global context-enhanced network for detecting small-target diseases on apple leaves.Frontiers in plant science · 2026Article
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15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 YOLOv11 with Mamba-inspired state-space modeling to enhance feature extraction, multi-scale fusion, and contextual representation. The model achieves a mAP@50 of 87.5%, precision of 90.4%, and recall of 83.1%, surpassing state-of-the-art object detection models. Extensive evaluations validate its robustness against degraded input data and adaptability across diverse datasets. These results demonstrate the applicability of ROSE-MAMBA-YOLO in complex agricultural scenarios. With its lightweight design and real-time capability, the framework provides a scalable and efficient solution for UAV-based rose monitoring, and offers a practical approach for precision floriculture. It sets the stage for integrating advanced detection technologies into real-time crop monitoring systems, advancing intelligent, data-driven agriculture.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.