Table 7. Success accuracy and loss values on the V2 plant seedling validation dataset.

Model	Metric	AF						AFCS-CNN
		ReLU	ELU	SELU	Mish	SiLU	GELU
VGG16	Accuracy (%)	92.30	12.88	12.88	92.90	91.46	92.42	93.98
	Loss	0.2619	2.4264	2.4710	0.2255	0.2894	0.3810	0.1839
VGG19	Accuracy (%)	87.48	13.72	88.33	89.89	90.85	92.06	93.50
	Loss	0.3778	2.4549	0.5133	0.3912	0.3053	0.2999	0.2084
DenseNet121	Accuracy (%)	96.39	89.65	77.26	93.02	91.34	96.27	96.63
	Loss	0.1526	0.3514	0.7537	0.2808	0.3059	0.1605	0.1149
DenseNet169	Accuracy (%)	96.03	80.02	68.83	92.78	90.25	93.62	96.39
	Loss	0.1559	0.5913	1.5005	0.2246	0.3579	0.2236	0.1296
EfficientNetV2B0	Accuracy (%)	94.58	91.58	70.04	87.24	73.16	64.74	95.07
	Loss	0.2692	0.3450	1.1031	0.4215	1.0297	1.4183	0.2192
EfficientNetV2B1	Accuracy (%)	93.86	71.72	74.01	91.34	91.70	82.79	95.07
	Loss	0.3060	0.9812	0.9816	0.3751	0.3325	0.5350	0.2225
ConvNeXtTiny	Accuracy (%)	No learning occurred in any of the trainings
	Loss
ConvNeXtSmall	Accuracy (%)	No learning occurred in any of the trainings
	Loss