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Table 5 Correlations between predicted and field-measured biomass at individual plant level using simple regression methods

From: Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level

Variable

Simple linear regression

Log transformed simple regression

R2

RMSE, g

R2

RMSE, g

Height

0.93**

10.78

0.96**

9.13

Crown size

0.64**

23.24

0.72**

21.98

CHR

0.66**

22.87

0.65**

23.69

Canopy cover

0.06

37.47

0.06

41.27

PLA

0.71**

21.91

0.67**

22.42

Volume

0.83**

17.24

0.81**

18.12

PAI

0.43**

31.39

0.33**

37.72

3DPI

0.64**

23.24

0.78**

19.6

  1. Italic values indicate the most important variable and the corresponding prediction accuracy (i.e., R2 and RMSE) of simple regression models (i.e., SLR and LSR)
  2. * p < 0.05; ** p < 0.01