Fully automatic extraction of morphological traits from the web: Utopia or reality?

• Published in: Applications in plant sciences Vol. 13; no. 3; pp. e70005 - n/a
• Main Authors: Marcos, Diego, van de Vlasakker, Robert, Athanasiadis, Ioannis N., Bonnet, Pierre, Goëau, Hervé, Joly, Alexis, Kissling, W. Daniel, Leblanc, César, van Proosdij, André S. J., Panousis, Konstantinos P.
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.05.2025; Wiley; John Wiley and Sons Inc
• Subjects: Application; automatic trait extraction; Automation; Collaboration; Computer Science; Datasets; Encyclopedias; Flowers & plants; Large language models; morphological trait matrices; Morphology; Natural language processing; Physical characteristics; Search engines; Species; Taxonomy; large language models; automatic trait extraction; morphological trait matrices; natural language processing; Natural language processing; Large language models; Automatic trait extraction; Morphological trait matrices

Premise Plant morphological traits, their observable characteristics, are fundamental to understanding the role played by each species within its ecosystem; however, compiling trait information for even a moderate number of species is a demanding task that may take experts years to accomplish. At th...