Digitization for smart decisions

Digitization for smart decisions

From a healthy, sustainable food choice to determining an optimal cooling regime: smart software facilitates the making of complex decisions. Wageningen Food & Biobased Research provides insight into which knowledge sources can be used for such systems. These might include food choices made by, for example, the Dutch Health Council, the Dutch Voedingscentrum and in scientific research. This knowledge is combined and translated into smart algorithms.

Smart software

Which knowledge sources and data sets should be consolidated to help consumers choose sustainable and healthy food? What new insight does a process manager gain if he can combine two product-quality data sets on his screen? With the rise of big data and new IT solutions, increasing numbers of agrifood companies are moving towards digital processes, supporting and enabling complex decision making. But finding and using the right data and knowledge is often also very complex. Which experts or documents provide the required knowledge rules, is the quality of available data sufficient, and who do we help with it?

Evidence-based agrifood software

Wageningen Food & Biobased Research provides insight into which knowledge and sources can ‘feed’ into digital systems. Agrifood companies can thus automate these iterative processes to constantly make their software smarter and more effective.
Wageningen experts in the fields of information science, artificial intelligence and data science have been working together, for decades, with agri-technology and nutrition specialists. As a result, Wageningen has become a leader in developing innovative, scientifically-based solutions in this domain. We find new possibilities to link algorithms to data and to define practical applications for our clients. Our "evidence-based smart engines", can be built into web applications and apps. We also help organizations to unlock existing data sets and knowledge rules and to connect them - essential for those committed to a multidisciplinary approach. For this we use semantic technologies, based on in-house developed and internationally-available vocabularies.

Personalised Nutrition and Health

One application example is an app prototype that gives consumers personalized advice on how to eat more fiber. This emerged from the Personalized Nutrition and Health project (2016-2019), in which Wageningen Food & Biobased Research is collaborating with TNO and circa twenty companies in the agrifood chain.

Changing supplier or production process can create new food safety risks. These can be identified at a very early stage via a ‘dashboard’ we developed, together with an IT company, for the European Food Safety Authority (EFSA) and for the Chinese dairy company Yili.

Use a cooling regime suitable for individual apple shipments. This is now possible thanks to smart use of data from the chain. For a fruit trader, we mapped out the data needed and how to use it to significantly improve decision-making.