Table 4 Performance of the CNN-LSTM models on classification of Chinese fir seedlings under drought and heat stress

From: A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata)

Stress	CNN-LSTM Model	Acc (%)	Pr (%)	Re (%)	F1-score (%)
Heat	AlxNet-LSTM	82.72	83.33	82.61	82.95
	VGG16-LSTM	83.74	84.16	83.64	83.90
	Resnet18-LSTM	85.80	86.17	85.69	85.93
	Resnet50-LSTM	92.18	92.14	92.06	92.10
Drought	AlxNet-LSTM	81.92	82.60	81.78	82.19
	VGG16-LSTM	83.61	84.31	83.47	83.89
	Resnet18-LSTM	87.28	87.62	87.14	87.38
	Resnet50-LSTM	91.80	91.83	91.65	91.74

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ISSN: 1746-4811

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