DETECTING RUMEX OBTUSIFOLIUS WEED PLANTS IN GRASSLANDS FROM UAV RGB IMAGERY USING DEEP LEARNING

22 citations as recorded by crossref.

1. RumexWeeds: A grassland dataset for agricultural robotics R. Güldenring et al. 10.1002/rob.22196
2. Hybrid CNN Model for Classification of Rumex Obtusifolius in Grassland A. Al-Badri et al. 10.1109/ACCESS.2022.3200603
3. Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning J. Valente et al. 10.1016/j.jag.2022.102864
4. Convolutional Neural Network Maps Plant Communities in Semi-Natural Grasslands Using Multispectral Unmanned Aerial Vehicle Imagery M. Pöttker et al. 10.3390/rs15071945
5. UAV-g 2019: Unmanned Aerial Vehicles in Geomatics F. Nex 10.3390/drones3030074
6. Cherry Tree Crown Extraction from Natural Orchard Images with Complex Backgrounds Z. Cheng et al. 10.3390/agriculture11050431
7. Detection of Colchicum autumnale in drone images, using a machine-learning approach L. Petrich et al. 10.1007/s11119-020-09721-7
8. Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey J. Liu et al. 10.3390/rs13214387
9. A survey of deep learning techniques for weed detection from images A. Hasan et al. 10.1016/j.compag.2021.106067
10. A guide to assess and value ecosystem services of grasslands F. Richter et al. 10.1016/j.ecoser.2021.101376
11. Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning R. Ding et al. 10.1186/s13007-023-01015-z
12. Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands D. Basavegowda et al. 10.1016/j.ese.2024.100419
13. CTFuseNet: A Multi-Scale CNN-Transformer Feature Fused Network for Crop Type Segmentation on UAV Remote Sensing Imagery J. Xiang et al. 10.3390/rs15041151
14. Weed detection based on deep learning from UAV imagery: A review L. Sandoval-Pillajo et al. 10.1016/j.atech.2025.101147
15. Cognitive Computing Advancements: Improving Precision Crop Protection through UAV Imagery for Targeted Weed Monitoring G. Mesías-Ruiz et al. 10.3390/rs16163026
16. Weed Management Using UAV and Remote Sensing in Malaysia Paddy Field: A Review Z. Ramli et al. 10.47836/pjst.32.3.13
17. Individual tree species identification using Dense Convolutional Network (DenseNet) on multitemporal RGB images from UAV S. Natesan et al. 10.1139/juvs-2020-0014
18. Real-time recognition of spraying area for UAV sprayers using a deep learning approach S. Khan et al. 10.1371/journal.pone.0249436
19. Crop type mapping by using transfer learning A. Nowakowski et al. 10.1016/j.jag.2021.102313
20. Adaptive Non-Maximum Suppression for improving performance of Rumex detection A. Husham Al-Badri et al. 10.1016/j.eswa.2023.119634
21. Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications F. Mena et al. 10.1109/JSTARS.2024.3361556
22. Generation of maps to localized herbicide application using aerial imaging aerial imaging R. Sacomani et al. 10.1007/s13762-024-05848-6