Scientia Silvae Sinicae ›› 2020, Vol. 56 ›› Issue (3): 100-108.doi: 10.11707/j.1001-7488.20200311
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Yu Sun1,3,Xiaoqian Tuo1,Qi Jiang2,Haiyan Zhang1,*,Zhibo Chen1,Shixiang Zong2,Youqing Luo2
Received:
2019-06-04
Online:
2020-03-25
Published:
2020-04-08
Contact:
Haiyan Zhang
CLC Number:
Yu Sun,Xiaoqian Tuo,Qi Jiang,Haiyan Zhang,Zhibo Chen,Shixiang Zong,Youqing Luo. Drilling Vibration Identification Technique of Two Pest Based on Lightweight Neural Networks[J]. Scientia Silvae Sinicae, 2020, 56(3): 100-108.
Table 3
Identification results"
识别方法 Recognition methods | 平均识别准确率 Average accuracy(%) | 平均预处理时间 Average preprocessing time/s | CPU平均识别时间 Average recognition time of CPU/s |
InsectFrames_1 | 92.36 | 1.826 | 0.376 |
InsectFrames_2 | 95.83 | 1.819 | 1.334 |
InsectFrames_3 | 90.28 | 1.850 | 0.108 |
InsectFrames_4 | 93.75 | 1.899 | 0.421 |
ResNet18 | 88.89 | 1.843 | 229.612 |
GMM | 61.81 | 1.833 | 0.007 |
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