T. Berger, H. Gimpel, A. Stein, C. Troost, S. Asseng, M. Bichler, C. Bieling, R. Birner, I. Grass, J. Kollmann, S. D. Leonhardt, F. M. Schurr, W. Weisser
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Hybrid intelligence for reconciling biodiversity and productivity in agriculture
Hybrid intelligence — arising from the sensible, targeted fusion of human minds and cutting-edge computational systems — holds great potential for enhancing the sustainability of agriculture. Leveraging the combined strengths of both collective human and artificial intelligence helps identify and stress-test pathways towards the reconciliation of biodiversity and productivity.