From: Soybean leaf estimation based on RGB images and machine learning methods
Dependent varfable | Independent variable | Model type | Model paramenters | MAE | R2 | ATPA (%) | ||
---|---|---|---|---|---|---|---|---|
a | b | c | ||||||
LN | SCA1 | A | 7.23 ± 0.38 | 0.10 ± 0.01 | −5.05 ± 0.73 | 30.12 | 0.77 | 49.92 |
SCA1 | B | 0.36 ± 0.01 | 0.82 ± 0.21 | – | 30.05 | 0.77 | 55.14 | |
SPA1 | A | 6.92 ± 0.39 | 0.09 ± 0.01 | −4.95 ± 0.76 | 30.01 | 0.77 | 51.02 | |
SPA1 | B | 0.35 ± 0.01 | 0.82 ± 0.12 | – | 30.04 | 0.77 | 55.01 | |
SSC | A | −11.38 ± 0.28 | 4.45 ± 0.08 | 0.03 ± 0.01 | 28.63 | 0.79 | 47.46 | |
SSC | B | 1.83 ± 0.12 | 1.29 ± 0.41 | – | 28.45 | 0.79 | 50.94 | |
LFW | SCA1 | A | −2.43 ± 0.30 | 0.05 ± 0.02 | 1.79 ± 0.31 | 9.17 | 0.88 | 43.21 |
SCA1 | B | 0.03 ± 0.00 | 1.07 ± 0.22 | – | 9.93 | 0.88 | 55.95 | |
SPA1 | A | −2.56 ± 0.30 | 0.05 ± 0.01 | 2.27 ± 0.39 | 10.23 | 0.88 | 43.57 | |
SPA1 | B | 0.03 ± 0.01 | 1.07 ± 0.03 | – | 9.93 | 0.88 | 55.57 | |
SSC | A | −4.50 ± 0.30 | 1.11 ± 0.05 | 0.04 ± 0.01 | 9.38 | 0.89 | 48.99 | |
SSC | B | 0.23 ± 0.04 | 1.67 ± 0.12 | – | 6.25 | 0.89 | 51.34 | |
LAI | SCA1 | A | −405.78 ± 1.40 | 10.46 ± 0.01 | 0.01 ± 0.00 | 2242.61 | 0.91 | 59.90 |
SCA1 | B | 4.57 ± 0.32 | 1.12 ± 0.04 | – | 2158.91 | 0.91 | 73.99 | |
SPA1 | A | −433.34 ± 1.60 | 10.38 ± 0.01 | 0.01 ± 0.00 | 2257.25 | 0.91 | 60.15 | |
SPA1 | B | 4.38 ± 0.26 | 1.12 ± 0.15 | – | 2161.84 | 0.91 | 73.95 | |
SSC | A | −556.15 ± 17.93 | 184.22 ± 2.23 | 13.10 ± 0.01 | 2063.22 | 0.91 | 57.03 | |
SSC | B | 43.68 ± 5.43 | 1.75 ± 0.13 | – | 2031.49 | 0.92 | 64.31 |