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 …

Plant phenology shifts under climate warming: a systematic review of recent scientific literature

T Hassan, R Gulzar, M Hamid, R Ahmad… - Environmental …, 2024 - Springer
Climate warming-driven temporal shifts in phenology are widely recognised as the foremost
footprint of global environmental change. In this regard, concerted research efforts are being …

From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2

WN Weaver, SA Smith - Applications in Plant Sciences, 2023 - Wiley Online Library
Premise Quantitative plant traits play a crucial role in biological research. However,
traditional methods for measuring plant morphology are time consuming and have limited …

Botanical Collection Patterns and Conservation Categories of the Most Traded Timber Species from the Ecuadorian Amazon: The Role of Protected Areas

R López-Tobar, RJ Herrera-Feijoo, RG Mateo… - Plants, 2023 - mdpi.com
The Ecuadorian Amazon is home to a rich biodiversity of woody plant species. Nonetheless,
their conservation remains difficult, as some areas remain poorly explored and lack …

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 …

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 …

[PDF][PDF] Digitalisierung im Naturschutz: Potenziale, Risiken und Lösungsansätze

C Schneider, K Mrogenda, M Davis - 2023 - bfn.bsz-bw.de
Nur wenigen Menschen ist vermutlich auf Anhieb bewusst, was Digitalisierung mit
Naturschutz zu tun hat. Von Einigen werden beide Begriffe sogar als Gegensätze …

[HTML][HTML] Envisaging a global infrastructure to exploit the potential of digitised collections

Q Groom, M Dillen, W Addink, AHH Ariño… - Biodiversity Data …, 2023 - ncbi.nlm.nih.gov
Tens of millions of images from biological collections have become available online over the
last two decades. In parallel, there has been a dramatic increase in the capabilities of image …

[PDF][PDF] Integrative Organismal Biology

Y He, JM Mulqueeney, EC Watt, A Salili-James… - 2024 - researchgate.net
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 …