Hybrid Intelligence for Reconciling Biodiversity and Productivity in Agriculture

Titelangaben

Berger, Thomas ; Gimpel, Henner ; Stein, Anthony ; Troost, Christian ; Asseng, Senthold ; Bichler, Martin ; Bieling, Claudia ; Birner, Regina ; Grass, Ingo ; Kollmann, Johannes ; Leonhardt, Sara Diana ; Schurr, Frank M. ; Weisser, Wolfgang:
Hybrid Intelligence for Reconciling Biodiversity and Productivity in Agriculture.
In: Nature Food. Bd. 5 (2024) . - S. 270-272.
ISSN 2662-1355
DOI: https://doi.org/10.1038/s43016-024-00963-6

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Abstract

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.