From: Segmentation and counting of wheat spike grains based on deep learning and textural feature
Wheat varieties | Counting accuracy of method I | Counting accuracy of method II | ||||||
---|---|---|---|---|---|---|---|---|
Mean absolute error | Mean relative error/% | RMSE | R2 | Mean absolute error | Mean relative error/% | RMSE | R2 | |
Bainong 4199 | 2.90 | 2.78 | 3.27 | 0.83 | 2.10 | 2.56 | 2.51 | 0.90 |
Kexing 3302 | 1.60 | 2.41 | 2.14 | 0.85 | 1.40 | 2.32 | 1.67 | 0.91 |
Yangmai 15 | 3.60 | 3.04 | 4.56 | 0.81 | 1.90 | 2.56 | 2.02 | 0.92 |
Yunong 904 | 4.10 | 3.28 | 4.44 | 0.82 | 2.60 | 2.81 | 3.52 | 0.89 |
Zhengmai 136 | 1.60 | 2.37 | 2.14 | 0.86 | 1.90 | 2.47 | 2.88 | 0.87 |
All cultivars | 3.74 | 4.23 | 3.74 | 0.81 | 1.98 | 2.75 | 2.60 | 0.91 |