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interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model trained
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)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
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enhancement, manipulate ocean carbonate chemistry via electrochemical methods or alkalinity addition (enhanced rock weathering or via alkaline fluids), respectively. Both methods are beginning early pilot
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