Digitalisation and Artificial Intelligence for sustainable food systems

被引:61
作者
Marvin, Hans J. P. [1 ]
Bouzembrak, Yamine [1 ]
Van der Fels-Klerx, H. J. [1 ]
Kempenaar, Corne [1 ]
Veerkamp, Roel [1 ]
Chauhan, Aneesh [1 ]
Stroosnijder, Sanne [1 ]
Top, Jan [1 ]
Simsek-Senel, Gorkem [1 ]
Vrolijk, Hans [1 ]
Knibbe, Willem Jan [1 ]
Zhang, Lu [1 ]
Boom, Remko [1 ]
Tekinerdogan, Bedir [1 ]
机构
[1] Wageningen Univ & Res WUR, Droevendaalsesteeg 4,Bldg 104,Wageningen Campus, NL-6708 PB Wageningen, Netherlands
关键词
Systems approach; Digital twins; Machine learning; Internet of things; Big Data; BIG DATA; SAFETY;
D O I
10.1016/j.tifs.2022.01.020
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页码:344 / 348
页数:5
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