Chemical cues and cognitive models: Integrating metabolomics and AI for plant stress resilience
Plants make thousands of different chemicals that reveal how they cope with changing climates. This view explains how evolving artificial intelligence approaches can combine these chemical fingerprints with genetics and environment to build a digital twin of a plant, helping breeders predict performance and develop climate-resilient crops much faster.
Authors
- Veda Krishnan (ORCID: https://orcid.org/0000-0001-6439-3593)
- Aiswarya Girija (ORCID: https://orcid.org/0000-0002-7802-7145)
- Alisdair Robert Fernie (ORCID: https://orcid.org/0000-0001-9000-335X)
- Julia von Steimker (ORCID: https://orcid.org/0009-0003-2725-9151)
Institutions
- Indian Council of Agricultural Research (IN)
- Max Planck Institute of Molecular Plant Physiology (DE)
- Institute of Biological, Environmental and Rural Sciences (GB)
- Indian Agricultural Research Institute (IN)
Publication Details
- Journal
- Journal of Integrative Plant Biology
- Published
- 2026-11-03
- DOI
- https://doi.org/10.1111/jipb.70434
- Primary Topic
- Plant Stress Responses and Tolerance
- Type
- article
- Field-Weighted Citation Impact
- 0.00