Closing the loop: AI-driven integration of multi-omics and phenomics for systematic resilient crop engineering.

AI-driven multi-omics and phenomics integration enables the design of stress-resilient crops, advancing crop engineering toward a predictive, autonomous system.

• Why it matters: Addressing climate change's impact on agriculture requires innovative approaches to develop resilient crops rapidly, filling the gap between traditional breeding and advanced biotechnologies.
• What they did: The review synthesizes the evolution from statistical models to deep learning, emphasizing multimodal fusion, generative AI, and foundation models in a closed-loop framework for crop improvement.
• The result: This systemic approach facilitates proactive design and real-time adaptation, paving the way for autonomous laboratories and digital twins that enhance crop resilience in changing environments.