[Retracted] Application of Convolution Neural Network Algorithm Based on Intelligent Sensor Network in Target Recognition of Corn Weeder at Seedling Stage

Table 1

Comparison of accuracy and recall results of different models.

Model	Accuracy (%)	Recall (%)	Time (ms)
CNN (ResNet-50)	61.77	65.42	216
CNN (ResNet-101)	62.08	70.17	234
CNN (VGG-16)	73.49	79.59	197
Fast-CNN (ResNet-50)	82.35	77.19	268
Fast-CNN (ResNet-101)	81.34	80.01	254
Fast-CNN (VGG-16)	87.64	80.23	271