Claim · model-written summary
The YOLOv8n tree species identification model achieves 99.2% mAP.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
e0“a tree species identification model is established based on the YOLOv8n network, achieving 98.5% accuracy, 99.0% recall, and 99.2% mAP”
Title
Vision-Based System for Tree Species Recognition and DBH Estimation in Artificial Forests
Zhiheng Lu; Yu Li; Chong Li; et al. Forests 2025. doi:10.3390/f17010017
Other claims from this paper (5)
- Method / resource The YOLOv8n tree species identification model achieves 98.5% accuracy.
- Method / resource The YOLOv8n tree species identification model achieves 99.0% recall.
- Method / resource The improved YOLOv8n-seg model reaches an mIoU of 93.7%.
- Method / resource The average error for tree diameter ranges from 4.40 to 6.40 mm.
- Intervention effect The proposed error compensation method reduces tree diameter errors.