Page 184 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications
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Chapter 6 Plant leaf disease classification based on feature selection  173




                 (A)              Training vs Valida on Loss

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                   Loss
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                     50

                     0
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                                              Epoch

                                     Training loss  Valida on loss


                 (B)            Training vs Valida on Accuracy
                    80%
                    70%
                    60%
                    50%
                   Accuracy  40%
                    30%
                    20%
                    10%
                     0%
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                                     Training acc  Valida on acc

                      Figure 6.15 Training and validation result of ResNet-50 model.

                  The features considered in this study include the following:
               • Statistical features: mean, standard deviation, skewness, and
                  kurtosis of color channels (R, G, B, H, S, V).
               • Geometric features:
                  •  Defect area
                  •  Defect perimeter: measured by the length of defected
                     region boundary
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