Digitalisation and Artificial Intelligence for sustainable food systems

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.

Bibliographic Details

Main Authors:	Marvin, Hans J.P., Bouzembrak, Yamine, van der Fels-Klerx, H.J., Kempenaar, Corné, Veerkamp, Roel, Chauhan, Aneesh, Stroosnijder, Sanne, Top, Jan, Simsek-Senel, Görkem, Vrolijk, Hans, Knibbe, Willem Jan, Zhang, Lu, Boom, Remko, Tekinerdogan, Bedir
Format:	Article/Letter to editor biblioteca
Language:	English
Subjects:	Big Data, Digital twins, Internet of things, Machine learning, Systems approach,
Online Access:	https://research.wur.nl/en/publications/digitalisation-and-artificial-intelligence-for-sustainable-food-s
Tags:	Add Tag No Tags, Be the first to tag this record!