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

Speakers:

Sania Awan

Plant Data Scientist

Simplot Plant Sciences