The subsequent ANOVA analysis revealed that the performance differences among the models were statistically highly significant (with p-values far below 0.05) across all five core evaluation metrics: Accuracy, F1-score, Recall, Precision, and Specificity.
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A sorghum seed variety identification method based on image-hyperspectral fusion and an improved deep residual convolutional network.
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