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Table 2 Performance results of the proposed identification of infection parts in the fruits and plants

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

Infection part identification results
Image no Accuracy (%) Jaccard Index (%) FNR (%)
1 93.10 91.73 6.90
2 94.28 92.66 5.72
3 91.17 93.63 8.83
4 95.63 92.73 4.37
5 91.63 95.80 8.37
6 90.93 90.00 9.07
7 92.79 95.20 7.21
8 89.93 99.26 10.07
9 94.97 95.79 5.03
10 90.99 92.94 9.01
11 90.44 91.58 9.56
12 88.38 92.45 11.2
13 90.36 93.52 9.64
14 88.20 90.74 11.8
15 91.76 93.80 8.24
16 92.19 94.12 7.81
17 92.71 93.73 7.29
18 93.69 94.97 6.31
19 94.90 95.16 5.10
20 94.96 95.92 6.04
Average 93.74 94.17 6.26
  1. The bold values indicate best results