Digital Innovation

Digital Twin

Timely decision-making in agrifood systems

The Digital Twin approach involves creating a virtual replica of physical food, land, and water systems using real-time monitoring data and decision-support modeling tools. We are building Digital Twins for timely decision-making in agrifood systems.

A suite of five case studies will be developed to incorporate real-time monitoring data into decision-support systems. Each Digital Twin case study will leverage CGIAR’s systems modeling expertise across the Initiative portfolio.

Our Digital Twin systems are co-developed with our stakeholders and partnering Initiatives to test what-if scenarios and facilitate informed decision-making in a complementary way.


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