Table 7.

Comparing the classification efficiency of the proposed classifier with existing ones.

Methods	Accuracy (%)	Precision (%)	Recall (%)	F1 score (%)
C-GAN DenseNet (Abbas et al., 2021)	97.11	97	97	97
CNN with transfer learning (Ahmad et al., 2021)	99.69	DNA	99.40	99.62
DCGAN-GoogleNet (Wu et al., 2020)	94.33	DNA	DNA	DNA
IBSA-Net (Zhang et al., 2023)	99.4	98.9	99.3	99.1
BotanicX-AI (Bhandari et al., 2023)	98.28	DNA	DNA	DNA
T-LSTM with an attention mechanism	99.98	99.76	99.89	99.82

^*DNA, Data not available.