You are here:

Future scenarios for consumer protection based on food quality and safety information, innovative measurement methods and artificial intelligence (Zukunftslabor2030)


Funding programme / funding institution: Bundesministerium für Ernährung und Landwirtschaft

Grant number: 28DK126F20

Project homepage:

Project description:

Scenarios of a sustainable and healthy consumer protection of the future through exchange and quantitative evaluation of quality and safety information of food along the supply chain up to the consumer thanks to innovative measurement methods and continuously updating artificial intellgence (AI).

Within the framework of the project, scenarios are being developed as to how the consistent use of the "Internet of Things" and AI along the food supply chain from production to the consumer can achieve significant improvements in the areas of consumer protection and information, in the monitoring of food quality and safety, and with regard to a possible reduction in food waste. The project achieves these goals on the one hand through the intelligent, self-learning linking of classical quality and safety data; on the other hand through the use of innovative measurement methods: mass spectrometry, next generation gene sequencing, Raman, infrared and fluorescence spectroscopy as well as micro gas sensors. These methods will be investigated in the project with regard to their practical suitability in the meat sector. The possible added value of linking the methods within the framework of an intelligent, multivariate evaluation will be explored. Also related questions in the field of food law will be investigated. The future scenarios developed in the project will be designed together with a panel of experts from the food sector. Selected scenarios will be exemplarily implemented in practice within the framework of a FutureLab2030 and evaluated with regard to their practicality, legal implications, costs and added value. The scenarios and the results of the FutureLab2030 will be published as a white paper at a project conference.

Project partners

  • Max Rubner-Institut, Bundesforschungsinstitut für Ernährung und Lebensmittel
  • Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit
  • Universität Bayreuth
  • Fraunhofer-Institut für Verfahrenstechnik und Verpackung
  • tsenso GmbH
  • benelog GmbH & Co. KG
  • Technische Hochschule Deggendorf




nach oben

Cookie Notice

This site only uses cookies to offer you a better browsing experience. Find out more on how we use cookies in our Data Protection Declaration.