Titre : AI for agricultural, technological innovations? A revolution! 

Auteurs : Didier Lebert,  

Revue : Technology and Innovation 

Numéro : Issue 4 

Volume : 8 

Date : 2023/09/13 

DOI : 10.21494/ISTE.OP.2023.1006 

ISSN : 2399-8571 

Résumé : To what extent is artificial intelligence (AI), in its many applicable fields, transforming the ways to innovate? In order to identify the technological trajectory inflections and paradigmatic shifts that innovations in this field generate in agriculture, we propose an original method based on network analysis. Using patent date, we apply this method to the 2013–2019 period. We show that AI plays a driving role in the transformation of innovation processes in agriculture, in connection with the challenges that now arise in crop management. 

Éditeur : ISTE OpenScience