Table 1 Comparison of the classification accuracies of the different models on the sweet cherry dataset

From: MFCIS: an automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology

Method

Accuracy (%)

IDSC + DP

10.91

HSC

16.47

PH

42.08

Customized DCNN for apple cultivar classification

32.55

Fine-tuned Xception

66.52

MFCIS (Our model)

83.52

  1. Only the Top-1 accuracy is shown. The accuracies in bold are the results of the proposed method.
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