| Title |
Digitalisation and Artificial Intelligence for sustainable food systems |
| ID_Doc |
64073 |
| Authors |
Marvin, HJP; Bouzembrak, Y; Van der Fels-Klerx, HJ; Kempenaar, C; Veerkamp, R; Chauhan, A; Stroosnijder, S; Top, J; Simsek-Senel, G; Vrolijk, H; Knibbe, WJ; Zhang, L; Boom, R; Tekinerdogan, B |
| Title |
Digitalisation and Artificial Intelligence for sustainable food systems |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.tifs.2022.01.020 |
| Abstract |
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. |
| Author Keywords |
Systems approach; Digital twins; Machine learning; Internet of things; Big Data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000792599400004 |
| WoS Category |
Food Science & Technology |
| Research Area |
Food Science & Technology |
| PDF |
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