Decoding family-level features for modern and fossil leaves from computer-vision heat maps.
Edward J SpagnuoloPeter WilfThomas SerrePublished in: American journal of botany (2022)
Machine-derived heat maps that initially appear to be dominated by noise can be translated into human-interpretable knowledge, highlighting paths forward for botanists and paleobotanists to discover new diagnostic botanical characters.