The Ruder Lab developed an automated robotic system integrated with deep learning to accelerate the study of complex multicellular organisms by simultaneously imaging and delivering chemicals with minimal human intervention. By applying this AI-driven framework to plants, the study identifies growth strategies that maximize biomass while reducing nutrient use and characterizes responses to environmental stressors like high salinity. This methodology provides a high-throughput roadmap for engineering climate-resilient crops and optimizing food security in changing environments.
Read more: Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience