Expert systems

Scientific research tends to deliver a large amount of raw data. This makes it all the more important to present the data in a coherent way and make it suitable for different applications. Online data bases of measurement data with efficient searching facilities are an example. The RIKLIT researchers themselves are a major source of know-how in the form of experience, which it is equally crucial to record and document.

Expert systems

Identification of components

Where the identification of components is concerned, there is a great deal of know-how available in the field of microscopic research. This know-how is processed into decision-supporting computer systems for different types of products. RIKLIT, for example, currently uses computer systems for:
  • Identifying additives in milk powder. From microscopic images such as the image represented on this page we can deduct that the product consists of different types of powdered milk, which may be traded on the market as milk replacer feed. A computer system supports researchers in their study by helping them to make the right decisions.
  • Recognizing illegally admixed slaughterhouse waste in animal feed, thereby helping to prevent mad cow disease (BSE). 

Wageningen Systems

There are many ways to record know-how into structures and systems. A number of our activities in this field are clustered in the Wageningen Systems initiative. RIKILT has all the facilities available to develop knowledge systems, computer platforms and software to document expertise and make it more accessible.