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Hybrid Intelligence for Reconciling Biodiversity and Productivity in Agriculture

Title data

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. Vol. 5 (2024) . - pp. 270-272.
ISSN 2662-1355

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 May 2024 05:44
Last Modified: 14 May 2024 05:44