This dataset highlights the network of Research and Development farms associated with Agriculture and Agri-Food Canada that conduct research and collaborate with partners and stakeholders.

This dataset series highlights the locations of research centres where scientists, technicians and staff work to create better opportunities for farmers and all Canadians through agricultural research and innovation.

The ‘Land use allocation to Soils and Landforms by year’ dataset links agricultural land use activities to soils and landscapes within Soil Landscapes of Canada (SLC) polygons. The land use allocations to soils area datasets were generated on an annual time step (1971-2015). Agricultural land use is categorized and allocated based on the following general land use types: Annual cropland, Perennial cropland, Specialty Crops, Improved pasture and Unimproved Pasture.

This data shows spatial density of lentil cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Lentils lentils are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Lentils lentils based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

This data shows spatial density of oilseed cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which oilseeds are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have oilseeds based on analysis of the 2009 to 2021 AAFC annual crop inventory data. Oilseeds consists of all types of oilseeds including borage, camelina, canola, flax, mustard, safflower, soybeans, sunflower and others (code 150) from the AAFC annual crop inventory.

This data shows spatial density of Soybean cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Soybeans are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have Soybeans based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

This data shows spatial density of forage crops in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which forage crops are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have forage crops based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

These datasets show the areas where major crops can be expected within the agricultural regions of Canada. Results are provided as rasters with numerical values for each pixel indicating the level of spatial density calculated for a specific crop type in that location. Regions with higher spatial density for a certain crop have higher likelihood to have the same crop based on the previous years mapped crop inventories.

This data shows spatial density of spring wheat cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which spring wheat is more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have spring wheat based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

This data shows spatial density of potatos cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which potatoes are more expected. Results are provided as rasters with numerical values for each pixel indicating the spatial density calculated for that location. Higher spatial density values represent higher likelihood to have potatoes based on analysis of the 2009 to 2021 AAFC annual crop inventory data.