From: Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
 | Parameter | Mean | Std. | Median | NMAD | BwMv | P 2.5% | Q 25% | Q 75% | P 97.5% | IQR | IPR 90% | IPR 99% |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7/23/2018 (DAP 61) | CV (dm3) | 1282.78 | 218.37 | 1253.85 | 199.04 | 215.52 | 917.37 | 1135.57 | 1413.23 | 1754.78 | 277.66 | 729.35 | 1119.80 |
Hmax (cm) | 92.33 | 16.64 | 87.58 | 10.89 | 12.36 | 73.02 | 81.70 | 97.16 | 139.61 | 15.46 | 56.37 | 84.95 | |
CV (% dm3) | 19.65 | 4.98 | 19.18 | 4.96 | 4.77 | 11.78 | 15.91 | 22.57 | 31.18 | 6.66 | 16.03 | 27.06 | |
Hmax (% cm) | 19.14 | 4.84 | 18.66 | 4.63 | 4.61 | 11.44 | 15.54 | 21.73 | 30.78 | 6.20 | 15.66 | 25.57 | |
8/01/2018 (DAP 70) | CV (dm3) | 1496.79 | 242.17 | 1487.83 | 219.58 | 233.32 | 1065.43 | 1327.34 | 1630.02 | 2079.86 | 302.69 | 819.91 | 1388.60 |
Hmax (cm) | 107.57 | 16.95 | 104.02 | 11.76 | 13.62 | 84.53 | 96.76 | 113.45 | 154.90 | 16.70 | 55.02 | 88.09 | |
CV (% dm3) | 21.28 | 5.95 | 20.92 | 6.18 | 5.95 | 11.65 | 16.74 | 25.03 | 34.52 | 8.29 | 19.13 | 29.36 | |
Hmax (% cm) | 20.84 | 5.74 | 20.49 | 5.95 | 5.68 | 11.55 | 16.48 | 24.54 | 33.87 | 8.06 | 18.92 | 30.03 |