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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