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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
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Plant Methods

ISSN: 1746-4811