Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review

BR Hussein, OA Malik, WH Ong, JWF Slik - Ecological Informatics, 2022 - Elsevier
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …

Opportunities and challenges in applying AI to evolutionary morphology

Y He, JM Mulqueeney, EC Watt… - Integrative …, 2024 - academic.oup.com
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …

Fossil image identification using deep learning ensembles of data augmented multiviews

C Hou, X Lin, H Huang, S Xu, J Fan… - Methods in Ecology …, 2023 - Wiley Online Library
Identification of fossil species is crucial to evolutionary studies. Recent advances from deep
learning have shown promising prospects in fossil image identification. However, the …

An image dataset of fusulinid foraminifera generated with the aid of deep learning

H Huang, Y Shi, Q Chen, H Xu, S Song… - Geoscience Data …, 2024 - Wiley Online Library
Fusulinid foraminifera are among the most common microfossils of the Late Palaeozoic and
act as key fossils for stratigraphic correlation, paleogeographic and paleoenvironmental …

The first Gondwanan Euphorbiaceae fossils reset the biogeographic history of the Macaranga‐Mallotus clade

P Wilf, A Iglesias, MA Gandolfo - American journal of botany, 2023 - Wiley Online Library
Abstract Premise The spurge family Euphorbiaceae is prominent in tropical rainforests
worldwide, particularly in Asia. There is little consensus on the biogeographic origins of the …

[HTML][HTML] First fossil-leaf floras from Brunei Darussalam show dipterocarp dominance in Borneo by the Pliocene

P Wilf, X Zou, MP Donovan, L Kocsis, A Briguglio… - PeerJ, 2022 - peerj.com
Abstract The Malay Archipelago is one of the most biodiverse regions on Earth, but it suffers
high extinction risks due to severe anthropogenic pressures. Paleobotanical knowledge …

[HTML][HTML] Megafossils of Betulaceae from the Oligocene of Qaidam Basin and their paleoenvironmental and phytogeographic implications

T Yang, JH Cai, YZ Dai, HY Chen, L Han, L Zhang… - Plant Diversity, 2024 - Elsevier
Understanding the paleoenvironment and phytogeographical history of the Tibetan Plateau,
China relies on discovering new plant fossils. The Qaidam Basin has long been regarded as …

[HTML][HTML] Paleobotany to understand evolution and biodiversity in Mexico

SRS Cevallos-Ferriz, AL Hernández-Damián… - Botanical …, 2022 - scielo.org.mx
Paleobotany bears an invaluable source of knowledge for understanding the history of the
biodiversity that we protect and care for today. This discipline is recognized as a source of …

Implications of lack of morphological information in fossil leaves related to Lauraceae: a statistical evaluation

MA Rubalcava-Knoth… - Journal of Systematic …, 2025 - Taylor & Francis
Fossil leaves serve as crucial repositories of palaeobiological information on angiosperms,
with the Lauraceae family standing out as a highly represented group across geological …

Challenges and opportunities in applying AI to evolutionary morphology

Y He, JM Mulqueeney, EC Watt, A Salili-James… - 2024 - ecoevorxiv.org
Artificial intelligence (AI) is poised to transform many aspects of society, and the study of
evolutionary morphology is no exception. Classical AI methods such as Principal …