One hundred important questions facing plant science derived using a large language model

Evgenios Agathokleous; Matthias C Rillig; Josep Peñuelas; Zhen Yu

doi:10.1016/j.tplants.2023.06.008

One hundred important questions facing plant science derived using a large language model

Trends Plant Sci. 2024 Feb;29(2):210-218. doi: 10.1016/j.tplants.2023.06.008. Epub 2023 Jun 30.

Authors

Evgenios Agathokleous¹, Matthias C Rillig², Josep Peñuelas³, Zhen Yu⁴

Affiliations

¹ Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China. Electronic address: evgenios@nuist.edu.cn.
² Freie Universität Berlin, Institut für Biologie, Altensteinstr. 6, D-14195, Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), D-14195, Berlin, Germany.
³ CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia 08193, Spain; CREAF, Cerdanyola del Vallès, Catalonia 08193, Spain.
⁴ Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China. Electronic address: zyu@nuist.edu.cn.

PMID: 37394309
DOI: 10.1016/j.tplants.2023.06.008

Abstract

Artificial intelligence (AI) is advancing rapidly and continually evolving in various fields. Recently, the release of ChatGPT has sparked significant public interest. In this study, we revisit the '100 Important Questions Facing Plant Science' by leveraging ChatGPT as a valuable tool for generating thought-provoking questions relevant to plant science. These questions primarily revolve around the utilization of plants in product development, understanding plant mechanisms, plant-environment interactions, and enhancing plant traits, with an emphasis on sustainable product development. While ChatGPT may not capture certain crucial aspects highlighted by scientists, it offers valuable insights into the questions generated by experts. Our analysis demonstrates that ChatGPT can be cautiously employed as a supportive tool to facilitate, streamline, and expedite specific tasks in plant science.

Keywords: ChatGPT; Generative Pre-trained Transformer; artificial intelligence; biology; large language model; plant science.

Publication types

Review

MeSH terms

Artificial Intelligence*
Language*
Phenotype