Smart Agriculture ›› 2024, Vol. 6 ›› Issue (1): 147-157.doi: 10.12133/j.smartag.SA202309010
• Information Processing and Decision Making • Previous Articles
Received:
2023-09-09
Online:
2024-01-30
corresponding author:
Supported by:
YANG Feng, YAO Xiaotong. Lightweighted Wheat Leaf Diseases and Pests Detection Model Based on Improved YOLOv8[J]. Smart Agriculture, 2024, 6(1): 147-157.
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URL: http://www.smartag.net.cn/EN/10.12133/j.smartag.SA202309010
Table 5
Comparison of detection performance of wheat diseases and insect pests with different network models
对比模型名称 | 精确率/% | 召回率/% | mAP_0.5/% | F 1分数/% | 检测速度/s |
---|---|---|---|---|---|
Faster R-CNN | 66.40 | 60.30 | 63.40 | 61.22 | 0.49 |
MobileNetv2 | 74.28 | 74.13 | 74.8 | 74.08 | 0.63 |
SSD | 78.41 | 78.27 | 78.21 | 78.14 | 1.37 |
YOLOv5 | 64.80 | 61.28 | 65.24 | 61.67 | 0.82 |
YOLOX | 61.89 | 61.50 | 60.78 | 63.54 | 0.51 |
YOLOv8 | 79.30 | 79.11 | 79.56 | 78.20 | 0.77 |
YOLOv8-SS | 89.41 | 89.20 | 91.24 | 88.12 | 0.78 |
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