Table 9 Experimental results of three types of kidney bean leaf spot diseases.

Classes		Model	Accuracy (%)	Precision (%)	Recall (%)	F1-Score
LR	Bacterial disease	VGG16	80.14	82.1	78.5	0.8
		Resnet50	81.89	83.2	80.1	0.8
		MobileV3	78.6	79.8	77.3	0.78
		EfNet-B7	91.98	93.5	90.4	0.93
	Black spot disease	VGG16	80.16	81.3	79.2	0.8
		Resnet50	82.3	84.1	80.5	0.85
		MobileV3	79.51	80.9	78.1	0.78
		EfNet-B7	92.35	94.2	90.6	0.93
	Gray mold	VGG16	80.56	83	78.3	0.81
		Resnet50	81.83	82.7	81	0.82
		MobileV3	78.55	80.2	76.9	0.78
		EfNet-B7	92.01	93.8	90.2	0.92
RF	Bacterial disease	VGG16	82.93	84.2	81.6	0.83
		Resnet50	83.94	85	82.8	0.84
		MobileV3	80.26	81.5	79	0.8
		EfNet-B7	90.54	91.8	89.3	0.9
	Black spot disease	VGG16	82.5	83.8	81.2	0.83
		Resnet50	84.8	86.1	83.5	0.84
		MobileV3	79.7	80.9	78.3	0.8
		EfNet-B7	91.37	92.6	90.1	0.91
	Gray mold	VGG16	82.11	83.5	80.7	0.82
		Resnet50	85.24	86.3	84.2	0.86
		MobileV3	80.14	81.4	78.9	0.8
		EfNet-B7	91.39	92.7	90	0.92
ADB	Bacterial disease	VGG16	86.47	87.2	85.8	0.86
		Resnet50	88.03	89.5	86.6	0.88
		MobileV3	82.82	84	81.7	0.84
		EfNet-B7	94.8	95.6	94	0.95
	Black spot disease	VGG16	85.99	86.8	85.2	0.88
		Resnet50	88.02	88.9	87.1	0.86
		MobileV3	82	83.5	80.5	0.82
		EfNet-B7	93.7	94.3	93.1	0.93
	Gray mold	VGG16	85.79	86.5	85.1	0.85
		Resnet50	87.63	88.4	86.9	0.88
		MobileV3	82.93	84.2	81.7	0.85
		EfNet-B7	94.07	94.8	93.4	0.92
SGB	Bacterial disease	VGG16	87.77	88.5	87	0.87
		Resnet50	88.34	89.1	87.6	0.88
		MobileV3	85.62	86.7	84.6	0.85
		EfNet-B7	95.76	96.2	95.3	0.95
	Black spot disease	VGG16	87.28	88	86.5	0.87
		Resnet50	88.52	89.3	87.8	0.87
		MobileV3	86.83	87.9	85.8	0.85
		EfNet-B7	96.04	96.5	95.6	0.97
	Gray mold	VGG16	87.1	87.8	86.4	0.87
		Resnet50	87.89	88.6	87.2	0.87
		MobileV3	85.23	86.4	84.1	0.85
		EfNet-B7	96.26	96.8	95.7	0.97

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