Smart Agriculture ›› 2023, Vol. 5 ›› Issue (3): 110-120.doi: 10.12133/j.smartag.SA202304006
• Special Issue--Monitoring Technology of Crop Information • Previous Articles Next Articles
PAN Weiting(), SUN Mengli, YUN Yan, LIU Ping()
Received:
2023-04-11
Online:
2023-09-30
Supported by:
PAN Weiting, SUN Mengli, YUN Yan, LIU Ping. Identification Method of Wheat Grain Phenotype Based on Deep Learning of ImCascade R-CNN[J]. Smart Agriculture, 2023, 5(3): 110-120.
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URL: http://www.smartag.net.cn/EN/10.12133/j.smartag.SA202304006
Table 1
Results of grain recognition before and after the improvement of Cascade Mask R-CNN model
序号 | 籽粒数量/粒 | Cascade Mask R-CNN | ImCascade R-CNN | ||
---|---|---|---|---|---|
识别籽粒数量/粒 | 漏检率/% | 识别籽粒数量/粒 | 漏检率/% | ||
1 | 85 | 73 | 14.1 | 85 | 0.0 |
2 | 87 | 80 | 8.0 | 87 | 0.0 |
3 | 106 | 87 | 17.9 | 106 | 0.0 |
4 | 85 | 74 | 12.9 | 85 | 0.0 |
5 | 90 | 81 | 10.0 | 89 | 1.1 |
6 | 81 | 67 | 17.3 | 80 | 1.2 |
7 | 65 | 53 | 18.5 | 65 | 0.0 |
8 | 91 | 70 | 23.1 | 91 | 0.0 |
9 | 97 | 82 | 15.5 | 96 | 1.0 |
10 | 72 | 60 | 16.7 | 70 | 2.8 |
Table 2
The ablation results of Cascade Mask R-CNN model were improved
序号 | 模型 | 精确率 | 召回率 | mAP_50 |
---|---|---|---|---|
1 | Cascade Mask R-CNN | 0.768 | 0.680 | 0.757 |
2 | Cascade Mask R-CNN (ResNeXt) | 0.859 | 0.711 | 0.806 |
3 | Cascade Mask R-CNN (Mish) | 0.761 | 0.681 | 0.762 |
4 | Cascade Mask R-CNN (CONV) | 0.812 | 0.732 | 0.796 |
5 | Cascade Mask R-CNN (Soft-NMS) | 0.830 | 0.770 | 0.802 |
6 | ImCascade R-CNN | 0.931 | 0.854 | 0.902 |
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