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Table 3 Estimations of aboveground biomass (AGB) and panicle biomass (PB)

From: Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

Regression methods AGB PB
r2 RMSEP (kg/m2) RRMSE (%) r2 RMSEP (kg/m2) RRMSE (%)
RF 0.90 0.21 13.56 0.64 0.11 14.14
ELM 0.87 0.22 15.42 0.64 0.11 14.16
BPNN 0.87 0.23 15.73 0.59 0.13 15.85
LS-SVM 0.89 0.21 14.64 0.64 0.11 14.14
  1. RF, ELM, BPNN and LS-SVM represent random forest, extreme learning machine, back propagation neural network and least square-support vector machine. The r2, RMSEP and RRMSE represent the coefficient of determination, the prediction of root mean square error and relative RMSE, respectively