Improved AlexNet with Inception-V4 for Plant Disease Diagnosis

Table 5

The accuracy, precision, recall, and F1 score for the proposed model.

	Accuracy	Precision	Recall	F1 score
Corn_CercosporaGrayspot	0.970	0.940	0.937	0.938
Corn_Commonrust	0.955	0.907	0.913	0.910
Corn_healthy	0.964	0.927	0.930	0.928
Corn_NorthernBlight	0.960	0.927	0.900	0.917
Tomato_Bacterialspot	0.948	0.905	0.887	0.896
Tomato_healthy	0.949	0.907	0.887	0.897
Tomato_Lateblight	0.936	0.870	0.873	0.872
Tomato_Septorialspot	0.954	0.891	0.930	0.910
Grape_Blackrot	0.970	0.937	0.943	0.940
Grape_healthy	0.964	0.919	0.940	0.929
Grape_IsariopsisSpot	0.953	0.923	0.883	0.903
Grape_Measles	0.972	0.944	0.947	0.945
Apple_Blackrot	0.960	0.929	0.910	0.919
Apple_Cedarrust	0.950	0.880	0.927	0.903
Apple_healthy	0.963	0.941	0.907	0.924
Apple_scab	0.956	0.910	0.913	0.912