The aim of this project is to demonstrate the advantages of a generic data platform. By means of case studies, we will showcase how existing sensor prototypes can be combined with additional on farm (sensor) data, to build new applications and improve decision support systems. The first case study will focus on grassland based production systems. Grassland based production systems often offer a possibility to use marginal land in LFAs (Less Favoured Area) that could otherwise not be used. The second case study will focus on behavioural monitoring. The aim of the second case study is to evaluate the possibilities of combining different information streams in order to develop algorithms for health and welfare monitoring. Besides demonstrating the advantages of a generic data platform by building new applications on the platform in the two case studies, the project also aims to disseminate the ‘success stories’ to different stakeholders and collect their feedback and input.