  In general, object identification tends not to work well on ambiguous,
amorphous objects such as vegetation. In this study, we developed a simple but
effective approach to identify ambiguous objects and applied the method to
several moss species. As a result, the model correctly classified test images
with accuracy more than 90%. Using this approach will help progress in computer
vision studies.
