Research Article
Prediction of Soil Organic Carbon for Ethiopian Highlands Using Soil Spectroscopy
Table 3
Summary of model results.
| ā | Model | Number of samples | | RMSE (%) | RPD |
| Anjeni | Calibration | 145 | 90 | 0.46 | 3.1 | Validation | 96 | 88 | 0.44 | 3.1 | Bale | Calibration | 59 | 93 | 0.42 | 3.7 | Validation | 59 | 86 | 0.52 | 2.7 | Basketo | Calibration | 81 | 93 | 0.46 | 3.9 | Validation | 81 | 89 | 0.57 | 3.0 | Benishangul | Calibration | 64 | 97 | 0.18 | 6.0 | Validation | 64 | 91 | 0.30 | 3.4 | Kersa | Calibration | 135 | 90 | 0.35 | 3.2 | Validation | 135 | 82 | 0.44 | 2.4 | Kolatembien | Calibration | 51 | 88 | 0.33 | 2.3 | Validation | 51 | 75 | 0.44 | 1.9 | Maybar | Calibration | 115 | 87 | 0.53 | 2.8 | Validation | 115 | 84 | 0.57 | 2.5 | Megech | Calibration | 118 | 94 | 0.11 | 4.0 | Validation | 118 | 85 | 0.15 | 2.6 | Wondogenet | Calibration | 57 | 90 | 0.46 | 3.2 | Validation | 57 | 86 | 0.52 | 2.7 |
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: the coefficient of determination, RMSE: root mean square error, RPD: ratio of performance deviation.
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