Scientific Sessions

This session highlights integrative computational approaches that model plant complexity across scales — from genes to populations. Topics include multi-omics integration, digital twins, predictive phenomics, mathematical growth models, bioinformatics pipelines, and machine learning techniques enabling trait prediction, crop forecasting, and adaptive breeding design.