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Table 3 Quantitative comparison of the classification accuracy for different classes using the test data

From: Wheat ear counting using K-means clustering segmentation and convolutional neural network

Class Precision (%) Recall (%) F1-score (%) Macro F1-score (%) Micro F1-score (%)
Non-wheat ear 99.80 98.42 99.11 98.47 98.47
1 wheat ear 97.50 97.70 97.60
2 wheat ears 98.07 97.98 98.03
3 wheat ears 98.50 99.80 99.14
  1. The recognition accuracy of non-wheat ear, one wheat ear, two wheat ears, and three wheat ears all have higher precision