![]() ![]() As more research datasets are added, it says more meaningful insights will be gained, generating potential improvements to the social, environmental and financial sustainability of cattle farming. “The SmartCow project allowed us to develop this capability and it also helped us to understand how we can make livestock data available beyond research projects.”Īlthough the SmartCow project has officially ended, Agrimetrics will continue to host the platform. A key facet of this is to enable better use to be made of data that is generated in research projects,” said Agrimetrics Chief Scientist Richard Tiffin. “Agrimetrics’ primary goal is to make it easier to find and use data so that that the food system is better able to meet the challenges it faces. SmartCow has therefore helped to develop and validate new predictors of feed efficiency, methane emissions and animal health status. For example, users were able to combine data from different methane emission sensors to improve understanding of how diet affects the release of this greenhouse gas from dairy farms. According to the UK ag-tech start-up Agrimetrics, which built the data platform which underpinned the project, using integrated datasets significantly increased the range of analyses that could be conducted. The project brought together datasets from 14 research groups in Europe and allowed greater access and linking of the data. Supported by Horizon 2020, the EU's research and innovation funding programme, SmartCow is a shared research data platform which aims to improve sustainability in the cattle industry. The data infrastructure needs to be in place to do this, however, and solutions are rapidly coming. Seen as key is the ability to access and share research data and use it to drive improvements. Emulsifiers, stabilisers, hydrocolloids.Chocolate and confectionery ingredients. ![]() ![]() Carbohydrates and fibres (sugar, starches). ![]()
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