Table 3.

Performance metrics of the models on Sugarcane dataset.

Model	Accuracy	Precision	Recall	F1-Score	Model	Accuracy	Precision	Recall	F1-Score
ResNet5025	84.00	84.67	83.76	83.74	GoogLeNet21	82.00	81.94	82.06	81.95
DenseNet20125	89.80	89.91	89.73	89.82	ViT-L3229	87.60	87.54	87.59	87.50
ConvNeXt-base26	90.60	89.67	90.35	89.78	ViT-B3229	88.80	88.90	88.71	88.67
ShuffleNetV2 x2.027	89.60	90.80	89.47	90.13	Swin V2B12	88.40	88.48	88.32	88.35
SqueezeNet 1.027	86.00	86.28	85.91	85.88	Swin V2S12	87.60	87.92	87.61	87.66
MobileNetV225	87.70	88.92	87.88	88.12	Mob-Res (no finetune)	88.00	89.96	87.87	87.90
MobileNetV3Large25	87.68	88.85	86.51	87.76	Mob-Res (finetune)	85.60	85.76	85.50	85.53
ResNeXt50 32x4d26	86.40	86.33	86.34	86.30