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

Hohenheim University
Fraunhofer Institute for Applied Information Technology FIT
HEF World Agricultural Systems Center

Research output: Contribution to journal › Comment/debate

10 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

Access to Document

10.1038/s43016-024-00963-6

Cite this

@article{1e81e5a1bfeb4a97854ff9f131c870a5,

title = "Hybrid intelligence for reconciling biodiversity and productivity in agriculture",

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",

note = "Publisher Copyright: {\textcopyright} Springer Nature Limited 2024.",

year = "2024",

month = apr,

doi = "10.1038/s43016-024-00963-6",

language = "English",

volume = "5",

pages = "270--272",

journal = "Nature Food",

issn = "2662-1355",

publisher = "Springer Nature",

number = "4",

}

TY - JOUR

T1 - Hybrid intelligence for reconciling biodiversity and productivity in agriculture

AU - Berger, T.

AU - Gimpel, H.

AU - Stein, A.

AU - Troost, C.

AU - Asseng, S.

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.

PY - 2024/4

Y1 - 2024/4

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85190304829

U2 - 10.1038/s43016-024-00963-6

DO - 10.1038/s43016-024-00963-6

M3 - Comment/debate

C2 - 38605130

AN - SCOPUS:85190304829

SN - 2662-1355

VL - 5

SP - 270

EP - 272

JO - Nature Food

JF - Nature Food

IS - 4

ER -

Hybrid intelligence for reconciling biodiversity and productivity in agriculture

Abstract

Access to Document

Other files and links

Fingerprint

Cite this