Table 5 Estimation results of the constructed models for the three growth-related traits
From: Growth monitoring of greenhouse lettuce based on a convolutional neural network
Models | LFW | LDW | LA | |||
|---|---|---|---|---|---|---|
R2 | NRMSE | R2 | NRMSE | R2 | NRMSE | |
CNN | 0.8983 | 26.00% | 0.8910 | 22.07% | 0.9156 | 19.94% |
SVM | 0.8842 | 31.07% | 0.8456 | 27.63% | 0.8627 | 27.40% |
RF | 0.8772 | 33.42% | 0.8959 | 25.52% | 0.8778 | 27.40% |
LR-V | 0.8492 | 33.53% | 0.7669 | 32.73% | 0.7561 | 34.78% |
LR-PA | 0.8454 | 34.26% | 0.8281 | 28.49% | 0.8062 | 31.38% |
LR-H | 0.6193 | 53.85% | 0.7074 | 36.83% | 0.6846 | 39.84% |
