This study was aimed at determining which of the leaf dimensional parameters, length (C), width (L) or the product of the length by width (CxL), are more appropriate to estimate area of anthurium (Anthurium andraeanum), cv. Apalai using a linear regression equation and to compare the performance of different regression functions obtained with machine learning (AM). The parameter that estimated the leaf area with the least error was the CxL product, with the equation proposed Af = 0.9672 *C x L and coefficient of determination (R²) equal to 0.99. It was also verified with AM that linear functions are more adequate to estimate the leaf area of this vegetal species.
ornamental plants; growth analysis; leaf dimensions
