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Table 3 Results of classification models for healthy and diseased leaves using feature band data

From: Intelligent identification on cotton verticillium wilt based on spectral and image feature fusion

Feature band extraction algorithm

Preprocessing method

SVM classification accuracy (%)

BPNN classification accuracy (%)

Training set

Test set

Training set

Test set

PCA

Original data

91.78

89.16

94.19

91.17

SG-MSC

90.58

89.36

94.19

92.37

SG-DT

87.58

86.15

92.39

91.57

SG-MN

93.79

90.96

93.19

92.97

SPA

Original data

94.59

92.77

94.00

91.77

SG-MSC

92.79

91.57

92.18

90.56

SG-DT

88.38

85.74

91.18

89.96

SG-MN

95.79

93.37

95.60

93.78