4.7 Article

Digitalisation and Artificial Intelligence for sustainable food systems

Journal

TRENDS IN FOOD SCIENCE & TECHNOLOGY
Volume 120, Issue -, Pages 344-348

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tifs.2022.01.020

Keywords

Systems approach; Digital twins; Machine learning; Internet of things; Big Data

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This article introduces the concept of a systems approach to food production and explores the application of digitalization and artificial intelligence (AI) in sustainable food systems. The research findings suggest that AI and digitalization have great potential to support the transition towards a sustainable food system, and policy recommendations are made for successful implementation.
Background: The European Commission (EC) has launched the European Green Deal communication, setting out the path for a fundamental transformation of Europe. Key element in this policy is a fully sustainable food system outlined in the farm-to-fork strategy. Such strategy requires a systems approach in which all aspects related to the production and consumption of sufficient and healthy food are considered, including economic, environmental (climate, ecosystems) and social aspects. Scope and approach: Here, we present the systems approach concept for food production, following the farm-to fork principle as embraced by the EC, and elaborate on how digitalisation and Artificial Intelligence (AI) can solve the challenges that a sustainable food system imposes. Key findings and conclusions: We present a number of research and innovation challenges and illustrate these by some specific examples. It is concluded that AI and digitalisation show great potential to support the transition towards a sustainable food system. This development will impact the roles and interactions of the actors in the entire value chain from farmers to consumers. Policy recommendations are made for a successful future implementation of AI in sustainable food production.

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