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Use Cases

Examples of Our AI Applications in the Agrifood Sector

AI for Product Information Recognition

Max Rubner Institute (MRI)

As part of the German government's National Reduction and Innovation Strategy, MRI annually collects data on the contents of energy, sugar, fat, and salt in finished products available on the German market. Until now, this has been a lavish manual process. In the future, product information available online will be automatically captured and processed using AI.

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Analyzing Scientific Publications via AI

Julius Kühn Institute (JKI)

To capture the current state of research on a scientific question, researchers create systematic overviews. In these, primary data from previously studies are identified, evaluated, and summarized to answer the reaview question at hand.

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Computer Vision for Measuring Animal Welfare Parameters

Friedrich Loeffler Institute (FLI)

Animal health and welfare are becoming increasingly important in animal husbandry. Both the activity and behavior of animals are crucial indicators of their welfare and health status.

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AI for Classifying Relevant Research Content

German Biomass Research Center (DBFZ)

To support companies, organizations (or research institutions) in making complex decisions regarding development processes and strategic direction, the so-called PESTEL analysis is used.

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