Tiffany
Vleesvervangers
Kameleon
eScience in Agrifood
Sesame 2 Client
Healthy components
CORAM application
Finding experts
Odin organic vegetables
Seedling inspection
ROC method
Beer filtration knowledge
Food Informatics
Emerging Risks
Octrooibeheersysteem
Experience Box
Consultancy Meneba
MixTainer
e-Learning -- statistics
Inplista
IM in Ghana
Projects PDF Print E-mail

The Information Management group of Wageningen UR has a track record consisting of many projects. Below and on the left, we present a selection of these.

 

Antimicrobials on-line (A/OL)A/OL filosofie

The purpose of this EU project was to present structured information on the properties and possible applications of preservatives in the food industry.

There are many publications on properties of preservatives in scientific literature. Most studies describe laboratory tests (in vito tests). The food industry needs to know about any experimental data about applying preservatives in real-life production processes that have been recorded and published. In the A/OL-project, we have summarised available scientific knowledge and offered it to various industrial users via a web application.

 

Kiemplant Automatic seedling inspection

In this project, the key goal was to develop a method for objective automated seedling sorting.

In horticulture, seedlings are assessed based on their proficiency to produce high quality fruit or vegetables. Usually, this quality assessment is done by sorting experts. These experts use detailed quality estimates, based on years of experience and acquired knowledge about the crop. However, the assessment of the seedlings between two experts may differ, which introduces a subjective component into the quality assessment. Horticultural companies have expressed a need for an objective and standardised quality assessment method. In this project, we have chosen for a transparent approach to the sorting method. The case study for this project was the inspection of tomato seedlings.

We have designed a method, using 3D-computer vision guided by the modelled sorting knowledge. This makes the sorting process robust and allows the decision of the inspection method to be verified in terms of the experts terminology.

  

TraceabilityPrestudy Traceability

This project aims to support an information and process analysis process to identify possible enhancements with respect to process design.

Our customer Meyn was interested in supporting its customers in enhancing traceability in the production process. We studied the production facilities of one of their customers which already had a paper-based traceability system in place to trace from chick to consumer product. However, much human effort was needed to maintain traceability. The customer was interested in replacing the paper-based traceability system with an IT-system and in focussing on other aspects of information usages as well: it wants to provide direct information to consumers via an internet site. We have developed a process and information model for traceability at this customer's facility.