Digital smart technologies & big food data analytics

  • Bent Egberg Mikkelsen (Lecturer)
  • Mukti Chapagain (Lecturer)

Activity: Talks and presentationsTalks and presentations in private or public companies

Description

Creating value for both research and enterprises out of big data in the food area has a soft as well as a hard part. The soft part of big food data analytics for instance rely on interconnectivity, artificial intelligence block chain to name a few, whereas the hard part involves also hardware components and smart sensors. This presentation takes as a point of departure the Richfields design study that are investing what kind of sense can be made from business and consumer generated data in the area of food, nutrition and health and that at the same time is doing an inventory of European behavioural food labs and their use of digital smart technologies. It present some recent inventions and innovations from the Foodscape Lab: the intelligent buffet, the virtual supermarket and the Dietary Intake Monitoring System (DIMS) to illustrate the idea of hard part of big food data collection. It finally present a sketch of the Big Food project that aims at capitalise on the benefits of proper big food data analytics in cooperation with retailers and manufacturers in the Danish food supply chain.
Period22 Nov 2017
Event titleFACCE-JPI Workshop on Big Data. A: griculture, Food Security and Climate Change
Event typeWorkshop
LocationCopenhagen, DenmarkShow on map
Degree of RecognitionInternational

Keywords

  • FoodScape Lab
  • FoodScape Lab Studies
  • integrated food studies
  • Intelligent Buffet
  • Virtual Supermarket
  • DIMS
  • Richfields program
  • big food data
  • big food data analytics
  • FACCE
  • JPI