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Table 1 Synthesis by species of the number and DBH range of the trees used to train Random Forest classifier (with the number of the measured defects) and to validate the method

From: An innovative and automated method for characterizing wood defects on trunk surfaces using high-density 3D terrestrial LiDAR data

Species

Number of trees used to validate the measurement (defects number)

Number of trees used to train the classifier (defects number)

Diameter at breast height (cm)

Oak (Quercus petraea (Matt.) Liebl.)

3 (57)

7 (232)

35ā€“76

Beech (Fagus sylvatica L.)

3 (84)

5 (131)

30ā€“57

Wild cherry(Prunus avium (L.) L.)

Ā 

2 (20)

20ā€“26

Pine (Pinus Sylvestris L.)

Ā 

1 (4)

34

Fir (Abies alba Mill.)

Ā 

2 (48)

23ā€“42

Total

6 (141)

17 (401)

Ā