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

doi:10.1038/s43016-024-00963-6

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 journal › Comment/debate

2 Scopus citations

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.

Original language	English
Pages (from-to)	270-272
Number of pages	3
Journal	Nature Food
Volume	5
Issue number	4
DOIs	https://doi.org/10.1038/s43016-024-00963-6
State	Published - Apr 2024

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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.",

author = "T. Berger and H. Gimpel and A. Stein and C. Troost and S. Asseng and M. Bichler and C. Bieling and R. Birner and I. Grass and J. Kollmann and Leonhardt, {S. D.} and Schurr, {F. M.} and W. Weisser",

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AU - Bichler, M.

AU - Bieling, C.

AU - Birner, R.

AU - Grass, I.

AU - Kollmann, J.

AU - Leonhardt, S. D.

AU - Schurr, F. M.

AU - Weisser, W.

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Hybrid intelligence for reconciling biodiversity and productivity in agriculture

Abstract

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