Data Sources

Agrimetrics combines data from various open and licensed data sources, including proprietary datasets created by Agrimetrics or our partners to address gaps in the agri-food data landscape. We collect data, but also connect it by using pioneering digital technologies that enable individual pieces of data to be linked to each other, across sources in a highly flexible and adaptable way. Traditional tabular databases are not able to do this, which has dramatically curtailed the sector's ability to exploit diverse sources of information.

Agrimetrics' current products include data from the following sources.

Historical weather (UK)UK Met Office - UKCP09 datasets
Recent weather (UK)UK Met Office - DataPoint datasets
Recent rainfall (UK)Environment Agency
Short-term forecast (UK)MET Norway - Weather API
Soil TextureSoilGrids (USDA definitions)
Soil Chemistry and Biological parameters (UK)Natural England - Countryside Survey datasets
Habitat Information (England)Natural England
Water Catchment (England)Environment Agency
Crops (England)Natural England - CROME datasets
Field boundaries (England&Wales)Proprietary dataset

The data as presented in our products may be the result of further aggregation or transformation by Agrimetrics, including deriving additional parameters from calculations or modelling using data from one or more source as input. Common transformations are described here.

Where the source has no data (for example, environmental sensor error at a location on a particular day, or limits to the geographic coverage), Agrimetrics will normally preserve this gap faithfully in the data we provide, rather than interpolating data ourselves to fill the gap. This is considered safer, in most cases, than adopting data interpolation methods that may be different to the original source's methods and may cause inconsistencies. It also ensures that users are clear about what data is real, rather than silently replacing missing actuals with synthetic values that may be less reliable.