Automated conservation assessment of the orchid family using deep learning
A. Zizka, D. Silvestro, P. L. Vitt, T. M. Knight
This study uses a deep learning model to automate conservation assessments for 13,910 orchid species, identifying 31.2% as Possibly Threatened and highlighting priority conservation areas.
bioRxiv · Jun 11, 2020Ecology