Reimagining Trait Discovery with Agentic AI & Multi-Omics Integration
- Using proprietary diversity panels and applying machine learning to accelerate trait identification for disease resistance and quality improvement
- Comparing AI-driven predictions with conventional statistical methods to validate insights and enhance discovery accuracy
- Building domain-specific large language models to support plant scientists with multiomics data interpretation and faster decision-making