Frontiers | Using Deep Learning to Identify Costa Rican Native Tree Species From Wood Cut Images
Tree species identification is critical to support their conservation, sustainable management and, particularly, the fight against illegal logging. Therefore, it is very important to develop fast and accurate identification systems even for non-experts. In this research we have achieved three main results. First, we developed -- from scratch and using new sample collecting and processing protocols -- an dataset called CRTreeCuts that comprises macroscopic cross-section images of 147 native tree species from Costa Rica. Secondly, we implemented a CNN for automated tree species identification ba...