Big food data meeting in Lund attracts 30 experts from around the Nordics
A good insight and understanding of big food data might help us get on the road to world class insight in consumer food practices. This was the pitch for the meeting held at Lunds University, [...]
RICHFIELDS paper: NutriNet: A deep learning food and drink image recognition system for dietary assessment
RICHFIELDS partners have published a new scientific paper. Automatic food image recognition systems are alleviating the process of food-intake estimation and dietary assessment. However, due to the nature of food images, their recognition is a [...]
RICHFIELDS paper: A new semi-automatic system for classifying and describing foods according to FoodEx2
RICHFIELDS partners have published a new scientific paper. The paper introduces a new semi-automatic system for classifying and describing foods according to FoodEx2 (the European Food Safety Authority's standardized food classification and description system). Read [...]
Blog post 4: Building with bits and bytes: in search of the core offering of a digital research infrastructure
Lan Ge, Senior Scientist on risk and resilience of agrifood systems, at Wageningen Economic Research Why a digital research infrastructure? The term ‘research infrastructure’ readily conjures up the image of large-scale research facilities [...]
Blog post 3: A common platform for policy research as a solution to the obesity crisis in Europe
Krijn Poppe, Research Manager at Wageningen Economic Research Europe is struggling with an obesity crisis. We have created a society in which consumers are surrounded on nearly all sides by sweet, salty, fatty [...]
Blog post 2: European platform for nutrition and health: a crucial tool for retail and food industry
Karin Zimmermann, Programme leader Research Infrastructures Food, Nutrition and Health, and Senior Researcher at Wageningen Economic Research Most people living in Europe consume too much salt, fat and sugar. This is leading to [...]