Corresponding author: Erick Mata-Montero (
Academic editor:
Costa Rica is one of the countries with highest species biodiversity density in the world. More than 2,000 tree species have already been identified, many of which are used in the building, furniture, and packaging industries (
The traditional system for tree species identification is based on macro and microscopic evaluations of the anatomy of the wood. It entails assesing anatomical features such as patterns of vessels, parenchymas, and fibers. Typically, 7.7 x 10 cm pieces of wood cuts are used to identify the tree species (
Deep learning techniques have recently been used to identify plant species (
This study has been developed in three forest permanent plots in Costa Rica, all of which are sites with historical growth data over the last 20 years. We have so far evaluated 40 species (10 individuals per species) with diameters greater than 20 cm. From each individual, a cylindrical sample of 12 mm diameter and 7.5 cm in length was extracted with a cordless drill. Each sample is then cut into five of 8 x 8 x 8 mm cubes and further processed to result in curated xylotheque samples, a dataset with all relevant metadata and original images, and a dataset with images obtained by performing data augmentation on the original images.
Erick Mata-Montero
Biodiversity Information Standards (TDWG) 2018, Dunedin, NZ
Proyecto 1370004, Vicerectoría de Investigación y Extensión, TEC
Proyecto 1370004, Vicerectoría de Investigación y Extensión, TEC