Figure 2.

Results of fitting the Montgomery equation that assumes a proportional relationship between A and LW, which represent the leaf area, length, and width, respectively. Here RMSE represents the root-mean-square error; r represents the correlation coefficient; n represents the number of samples; $\widehat{k}$ represents the estimated value of the Montgomery parameter, i.e., the proportionality coefficient of the Montgomery equation; 95% CI represents 95% confidence intervals of the Montgomery parameter based on 3,000 bootstrap replicates.