Application of large language models (LLMs) for automating complex and data-intensive crop phenotype analysis remains unexplored. Here, the authors integrate LLM with curated toolkit for phenotype extraction, visualization, and model training and show its ability to reduce technical barriers and enhance accessibility.
- Feng Chen
- Ilias Stogiannidis
- Mario Valerio Giuffrida
