AI for technological innovation in agriculture? A revolution!

Didier Lebert ()
Additional contact information
Didier Lebert: CRG I3 - Centre de Recherche en Gestion I3 - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique, UEA - Unité d'Économie Appliquée - ENSTA - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris

Post-Print from HAL

Abstract: To what extent is Artificial Intelligence (AI) changing the way innovation takes place in its many applications? We propose an original method, based on network analysis, to identify the inflections in technological trajectories and paradigmatic shifts that innovations in this field are driving in agriculture. We apply it to the period 2013-2019 using patent data. We show that AI plays a driving role in the transformation of innovation processes in agriculture, in the context of the challenges that are now emerging in crop management.

Date: 2026-07-06
References: Add references at CitEc
Citations:

Published in Camille Aouinaït; Dimitri Uzunidis. Testing Innovation Digital Modes and Models, 10, ISTE; Wiley, pp.471-491, 2026, 9781836690825

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-05682246

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().