Table 9. Numerical results obtained from models using the V2 plant seedling test dataset.

Model	Metric	AF						AFCS-CNN
		ReLU	ELU	SELU	Mish	SiLU	GELU
VGG16	Accuracy	0.9193	0.1287	0.1287	0.9193	0.9133	0.9157	0.9362
	Loss	0.2923	2.4259	2.4699	0.2602	0.2903	0.3782	0.2074
	Precision	0.9215	0.0167	0.0167	0.9213	0.9155	0.9201	0.9354
	Recall	0.9195	0.1288	0.1288	0.9194	0.9141	0.9154	0.9367
	F1-score	0.9205	0.0296	0.0296	0.9202	0.9090	0.9104	0.9368
VGG19	Accuracy	0.8916	0.1371	0.8676	0.9025	0.8977	0.9109	0.9253
	Loss	0.5742	2.4543	0.5411	0.3799	0.3579	0.2915	0.2368
	Precision	0.8934	0.0192	0.8652	0.9061	0.8987	0.9112	0.9259
	Recall	0.8917	0.1372	0.8668	0.9010	0.8989	0.9112	0.9256
	F1-score	0.8824	0.0329	0.8596	0.9030	0.8961	0.9096	0.9224
DenseNet121	Accuracy	0.9542	0.8868	0.7496	0.9386	0.9157	0.9590	0.9711
	Loss	0.1581	0.3422	0.7506	0.2014	0.2752	0.1367	0.0904
	Precision	0.9555	0.8919	0.8280	0.9431	0.9503	0.9598	0.9719
	Recall	0.9552	0.8881	0.7492	0.9385	0.9160	0.9590	0.9714
	F1-score	0.9539	0.8817	0.7423	0.9397	0.9186	0.9574	0.9721
DenseNet169	Accuracy	0.9446	0.7785	0.6594	0.9049	0.8880	0.9410	0.9675
	Loss	0.1971	0.6784	1.5014	0.2827	0.3053	0.1905	0.0955
	Precision	0.9437	0.8260	0.7670	0.9117	0.8981	0.9465	0.9682
	Recall	0.9454	0.7784	0.6599	0.9063	0.8883	0.9421	0.9688
	F1-score	0.9439	0.7701	0.6190	0.9044	0.8815	0.9416	0.9670
EfficientNetV2B0	Accuracy	0.9265	0.9217	0.6943	0.8543	0.7075	0.6401	0.9518
	Loss	0.3443	0.3035	1.1257	0.5348	1.0339	1.3997	0.1822
	Precision	0.9334	0.9254	0.7661	0.8815	0.7790	0.7297	0.9508
	Recall	0.9271	0.9223	0.6951	0.8550	0.7067	0.6410	0.9527
	F1-score	0.9264	0.9236	0.6833	0.8515	0.7007	0.6199	0.9517
EfficientNetV2B1	Accuracy	0.9265	0.7148	0.7352	0.9169	0.9121	0.8122	0.9530
	Loss	0.3025	0.9967	0.9698	0.3140	0.3973	0.6153	0.1796
	Precision	0.9273	0.7581	0.8119	0.9224	0.9258	0.8288	0.9531
	Recall	0.9278	0.7150	0.7360	0.9167	0.9124	0.8124	0.9526
	F1-score	0.9241	0.7041	0.7274	0.9192	0.9145	0.7987	0.9518