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MINI REVIEW article

Front. Food. Sci. Technol.
Sec. Food Modeling
Volume 4 - 2024 | doi: 10.3389/frfst.2024.1473357
This article is part of the Research Topic Digital Twins in the Food Industry View all articles

Generative Artificial Intelligence in the Agri-Food Value Chain -Overview, Potential, and Research Challenges

Provisionally accepted
Christian Krupitzer Christian Krupitzer 1,2*
  • 1 University of Hohenheim, Dep. Food Informatics, Stuttgart, Baden-Württemberg, Germany
  • 2 Computational Science Hub, University of Hohenheim, Stuttgart, Germany

The final, formatted version of the article will be published soon.

    ChatGPT uses a so called Large Language Model (LLM) to provide textual output of analyzed data. Those LLMs are one example for Generative Artificial Intelligence (AI), which focuses on creating new content, e.g., text, images, or music, based on learned patterns. Recently, applications in the food industry and agriculture started to apply Generative AI. This mini review provides an overview about applications of Generative AI in the agri-food supply chain and discusses open research challenges, also in combination with digital twins.

    Keywords: Generative artificial intelligence, Generative AI, Agri-food value chain, Food Industry, Agriculture, nutrition

    Received: 30 Jul 2024; Accepted: 17 Sep 2024.

    Copyright: © 2024 Krupitzer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Christian Krupitzer, University of Hohenheim, Dep. Food Informatics, Stuttgart, Baden-Württemberg, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.