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Table 7 Comparison with existing methods

From: A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Method

Year

Comparison measures

  

Sen %

Spec %

Prec %

Accuracy %

Apple scab comparison

Samajpati et al. [2]

2016

–

–

–

80

Dubey et al. [35]

2012

–

–

–

96.96

Shiv et al. [5]

2016

–

–

–

93.75

Lucas et al. [53]

2016

86.6

–

92.8

96.6

Proposed

2017

97.0

96.4

96.70

97.1

Apple rust comparison

Zhang et al. [29]

2017

–

–

–

94.28

Proposed

2017

95.05

92.7

94.3

94.70

Grapes rot leave comparison

Kharde et al. [36]

2016

–

–

–

95.23

Proposed

2017

96.25

92.50

97.10

96.60

Grapes leaf blight

Kharde et al. [36]

2016

–

–

–

92.85

Padol et al. [37]

2016

–

–

–

83.33

Proposed

2017

96.30

97.0

96.3

96.30

Final classification

2017

97.05

–

97.60

97.70

  1. The bold values indicate best results