Hybrid intelligence for reconciling biodiversity and productivity in agriculture

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

Research output: Contribution to journalComment/debate

1 Scopus citations


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.

Original languageEnglish
Pages (from-to)270-272
Number of pages3
JournalNature Food
Issue number4
StatePublished - Apr 2024


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