Cultivating Data in Farming with Semantic Standards and Interoperability Support
Summary
To improve organisational information systems and operations across the agri-food value chain, adopting reference architectures like rmAgro becomes crucial for optimising data flows. Wageningen Economic Research actively implements data modelling with reference models across multiple projects to drive efficiency and innovation in data-sharing.
S00142
Version: 1.7
- arable farming
- livestock farming
- test design
- collection of test data
- provision of datasets
- AI model training
- business modelling
- design/documentation
- Location: in the Netherlands
- Offered by: WUR
Description
To improve organisational information systems and operations across the agri-food value chain, adopting reference architectures like rmAgro becomes crucial for optimising data flows. Wageningen Economic Research actively implements data modelling with reference models across multiple projects to drive efficiency and innovation in data-sharing.