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Table 5 Comparison results for cassava dataset using 7-fold cross-validation

From: Pseudo high-frequency boosts the generalization of a convolutional neural network for cassava disease detection

Indicator

ArsenicNet

ArsenicNetPlus

Accuracy

\(95.82\%\)

\(96.27\%\)

Recall

\(95.80\%\)

\(96.25\%\)

Precision

\(95.87\%\)

\(96.30\%\)

Loss

1.721

1.360

F1-score

\(95.83\%\)

\(96.27\%\)

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Plant Methods

ISSN: 1746-4811