Table 4.
Weed identification model training results using YOLO and Faster R-CNN networks with Weed25.
| Networks | Precision (%) | Recall (%) | F1 score | Mean average precision (%) |
|---|---|---|---|---|
| YOLOv3 | 89.0 | 99.0 | 0.88 | 91.80 |
| YOLOv5 | 88.0 | 99.0 | 0.89 | 92.40 |
| Faster R-CNN | 65.9 | 98.0 | 0.78 | 92.15 |