Environmental Monitoring Program data for aquaculture.

Historical Manitoba market crop prices, based on weekly surveys of grain buyers' pricing This table contains weekly and monthly prices for different crops, based on weekly surveys of grain buyers' pricing, as well as other publicly available market sources. The table contains prices for the current and nine previous years. Each weekly dataset contains prices on the sales that occurred from Friday to Thursday. The monthly price represents a simple average of the corresponding weekly prices. For more information on major crops in Manitoba please visit ARD Livestock Markets and Statistics. This table is used in the Manitoba Crop Prices Historical dashboard. Fields included [Alias (Field name): Field description] Year (Year): Year from the selection of last 10 years including current year Period (Period): Period of time to be presented on charts from the selection of Monthly and Weekly PeriodNo (PeriodNo): Serial number of period (1-12 for monthly presentation, 1-52 for weekly presentation). For weekly presentation, each week contains prices on sales that occurred from Friday to Thursday (e.g., Week 1 of 2021 represents sales between Friday, Jan. 1, 2021 and Thursday, Jan. 7, 2021, with the corresponding report published by the department on Friday, Jan. 8, 2021). For monthly presentation, each month contains simple average prices of weeks, which had more than two days of corresponding month in the period from Monday to Friday (e.g., if the first day of the month is Monday, Tuesday or Wednesday, monthly average includes this week; but if the first day of the month is Thursday or Friday, the weekly prices are included in monthly average prices of a previous month). Price (Price): Crop price for the corresponding period of time, in C$ per tonne Crop Category (Crop): Category of grains and oilseeds from the selection of: Wheat, Northern Hard Red;  Wheat, Western Red Spring; Wheat, Red Winter; Wheat, Special Purpose (Low Vomi); Barley, #1CW; Corn, #2; Oats, #2CW; Flaxseed, #1CW; Canola, #1CR; Canola Meal, 34%, Altona; Soybeans; Soymeal, 46%, Wpg; Peas, #2 Yellow.

In 2019, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Sentinel-2) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change and data collection supported by our regional AAFC Research and Development Centres in St. John’s, Kentville, Charlottetown, Fredericton, and Guelph.

The Agri-Environmental Spatial Data (AESD) product from the Census of Agriculture provides a large selection of farm-level variables from the Census of Agriculture and uses alternative data sources to improve the spatial distribution of the production activities. Therefore, the AESD database offers clients the possibility to better analyze the impact of agriculture activities on the environment and produce key indicators, or for any applications where accurate location of activities matters. Variables are offered using two types of physical boundaries: by Soil Landscape of Canada polygons and by Sub-sub-drainage areas (watersheds). The focus of the redistribution of the data is on the field crops and land use variables, but the database includes all census variables related to crops, livestock and management practices. This frame can also be used to extract Census of Agriculture data by custom geographic areas. Also, users interested in this version of the Census of Agriculture database using administrative types of regions can request it. In both cases, please contact Statistics Canada. This file was produced by Statistics Canada, Agriculture Division, Remote Sensing and Geospatial Analysis section, 2022, Ottawa.

A web application that shows the location of businesses in Manitoba that offer agri-food by-products or related services. This web application shows the geographic location of Manitoba businesses that offer agri-food by-products or related services. This list is not exhaustive and does not constitute a recommendation for services. For more information, visit the Manitoba Agriculture website. Contact Manitoba Agriculture at agindustrydev@gov.mb.ca if you want your business listed. This web application uses the point element layer from the Manitoba Agri-Food By-Product Directory and the Manitoba Agri-Food By-Product Map. **This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Grain Elevators in Canada - 2020 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 – 2016 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.

In 2024, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery for all Canadian provinces and the Yukon Territory, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Landsat-9, Sentinel-2), and radar (RCM) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Kentville, Fredericton, Guelph, Summerland and Whitehorse. Forest Fire Perimeter Estimate polygons from Natural Resources Canada’s Canadian Forest Service are used to show burned areas of landcover (Class - 60).

A series of relevant spatial datasets were compiled to construct an Agricultural Potential Index model which combines multiple criteria that influence agricultural suitability.  For more information on the Agriculutural Potential Index Model, please see the metadata link.

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.