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Hybrid intelligence for reconciling biodiversity and productivity in agriculture

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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.

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Fig. 1: Schematic diagram of the socio-technical system and processes for hybrid intelligence.
Fig. 2: Exemplary use cases of human–AI interaction for hybrid intelligence.

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Authors and Affiliations

  1. University of Hohenheim, Stuttgart, Germany

    T. Berger, H. Gimpel, A. Stein, C. Troost, C. Bieling, R. Birner, I. Grass & F. M. Schurr

  2. Fraunhofer FIT, Sankt Augustin, Germany

    H. Gimpel

  3. Technical University of Munich, München, Germany

    S. Asseng, M. Bichler, J. Kollmann, S. D. Leonhardt & W. Weisser

  4. HEF World Agricultural Systems Center, Freising, Germany

    S. Asseng & W. Weisser

Authors
  1. T. Berger
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  2. H. Gimpel
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  3. A. Stein
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  4. C. Troost
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  5. S. Asseng
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  6. M. Bichler
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  7. C. Bieling
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  8. R. Birner
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  9. I. Grass
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  11. S. D. Leonhardt
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  12. F. M. Schurr
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  13. W. Weisser
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Correspondence to T. Berger.

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Berger, T., Gimpel, H., Stein, A. et al. Hybrid intelligence for reconciling biodiversity and productivity in agriculture. Nat Food 5, 270–272 (2024). https://doi.org/10.1038/s43016-024-00963-6

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