The impact of artificial intelligence in the evolution of innovation trajectories in agriculture

Sana Elouaer-Mrizak () and Didier Lebert ()
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Sana Elouaer-Mrizak: ISI - Centre de recherche sur l’Innovation et les Stratégies Industrielles - ULCO - Université du Littoral Côte d'Opale
Didier Lebert: UEA - Unité d'Économie Appliquée - ENSTA Paris - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris, 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

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Abstract: To what extent is Artificial Intelligence (AI) transforming ways of innovating in the agricultural sector and shaping the agricultural technological trajectory to reach Sustainable Development Goals (SDGs)? We propose a method based on network analysis to identify the technological trajectory inflections and paradigmatic shifts that innovations in AI generate in agriculture. Based on the patents' technological contents over the period 2013-2019 and using network analysis tools, we show that AI has a driving function in the transformation of innovation processes in agriculture, in connection with the actual challenges that arise in crop management. This new General Purpose Technology is playing an increasingly active role in the technical progress of agriculture and is disrupting its invention processes and even more, help to achieve certain SDGs. For example, the technical guidance system for agricultural machinery, which involves technologies linked to control and regulation, often associated with automation and control systems, which can be crucial for optimizing industrial processes and efficient resource management, is directly impacting SDGs such as industry, innovation and infrastructure (SDG 9). Moreover, automated control systems with agricultural technologies can contribute to SDG 2 (Zero Hunger) through smart and sustainable agriculture.

Date: 2024-05-23
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Published in 2nd International Conference of the Digital Transformation Society - DTS 2024, Dipartimento di Studi Aziendali e Quantitativi, Parthenope University, Naples; Paris School of Business, May 2024, Naples, Italy

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