This data shows spatial density of flax cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which flax 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 flax based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

This data shows spatial density of Canola cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Canola 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 Canola based on analysis of the 2009 to 2021 AAFC annual crop inventory data.

Web app showing locations of Manitoba Agri-product businesses that offer bioproducts and/or services. This application shows the geographical locations of Manitoba Agri-product businesses that offer bioproducts and/or services. This list is not inclusive nor an endorsement for services. For more information, visit Manitoba Agriculture. Contact Manitoba Agriculture at mbagrifood@gov.mb.ca to have your business added to the listing. This app uses the Bioproduct and Service Finder Data feature layer and the Bioproduct and Service Finder Map.

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.

Crop rotation is an agricultural production and land management practice beneficial to sustainable agriculture in Canada. Agriculture and Agri-Food Canada (AAFC) produces crop rotation data annually showing the crop rotations used within the agricultural extent of Canada for the last four complete growing seasons (based on available data). This data can be used by producers, land managers, and policy makers to assess current rotations to assist in future land management decisions.Crop rotation data is derirved from AAFC's publicly-available annual crop inventory data.

The Grain Elevators in Canada - 2021 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

The Grain Elevators in Canada – 2017 dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.

This data shows spatial density of Cereals cultivation in Canada. Regions with higher calculated spatial densities represent agricultural regions of Canada in which Cereals 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 Cereals based on analysis of the 2009 to 2021 AAFC annual crop inventory data. Cereals consist of the following specific crop types from the AAFC annual crop inventory; Cereals, Barley (including Spring and Winter), Greenfeed / Mixed Cereals, Millet, Oats, Rye (including Spring and Winter), Spelt, Triticale (including Spring and Winter), Wheat (including Spring and Winter), and Other Cereal

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.

The Estimated Historical Crop Yields in Canada by SLC (kg\hectare) dataset is produced by combining three complementary sources of yield information at the Soil Landscapes of Canada (SLC) level. First, provincial-level yields for seven major crops are allocated down to SLC polygons using area-based adjustments and statistical scaling. Second, forage yields (alfalfa, improved pasture, unimproved pasture) are taken directly from the EPIC model, which already outputs data at the SLC level. Third, insurance yield datasets (for the Prairies) are linked to SLC polygons and incorporated where available. These three sources are harmonized, ensuring consistency across crops and regions, resulting in a comprehensive SLC-level crop yield dataset for national-scale modeling and reporting. This dataset was created primarily in support of Statistics Canada’s Census of Environment. This data can also be used for national scale modelling, calibration of agricultural models, and reporting for the agri-environmental indicators.