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 |