The Canadian Crop Metrics application allows users to look at specific regions and generate reports, graphs and tables to compare current conditions to historical conditions for 11 different crop types. Weather data is updated regularly and yield estimates are updated monthly from July to October.
The Agribusiness Site Explorer is an interactive map-based tool that provides potential investors with information and data on different geographical sites across Canada. The application allows you to compare locations across Canada to help make an informed decision when investing in Canada’s agriculture and agri-food sector.
You can use the tool to gather information on:
The Predicted Bertha Armyworm Development storymap provides weekly predicted stages of development of bertha armyworm (Mamestra configurata) for locations across Western Canada. The bertha armyworm is one of the most significant insect pests of canola in Canada. It occurs throughout Manitoba, Saskatchewan, Alberta and the interior of British Columbia. Severe infestations can occur throughout most of this area but are usually limited to the parkland area of the prairies and the Peace River region of British Columbia and Alberta.
The Predicted Grasshopper Development storymap provides weekly predicted stages of development of the migratory grasshopper (Melanoplus sanguinipes) across Western Canada. The migratory grasshopper is one of the most destructive insect pests in western Canada. Outbreaks can lead to costly losses for grain growers. This species attacks both field and garden crops, especially cereals, tomato, celery, onion and carrot.
The Predicted Wheat Midge Development storymap provides weekly predicted stages of development of the wheat midge (Sitodiplosis mosellana), across Western Canada. The wheat midge is found in most areas around the world wherever wheat is grown. In recent years, significant damage to wheat crops due to wheat midge has been reported in Alberta, Saskatchewan, Manitoba, and southern British Columbia.
The Predicted Diamondback Moth Development storymap provides an estimate of the number of potential generations of diamondback moth (Plutella xylostella) expected to occur based on a) the first detection of adult moths in pheromone traps, and b) abiotic conditions. Although the diamondback moth occurs each year throughout the Canadian prairies and north central United States, the severity of the infestation varies considerably from between years and by location.
This data represents the dryness of the land surface based on vegetation conditions. The data is created weekly and uses weekly information on precipitation anomalies (namely the Standardized Precipitation Index or SPI) and satellite vegetation condition derived from Normalized Difference Vegetation Index (NDVI) from the MODIS Satellite. These dynamic data sets along with static data sets on land cover, soil water holding capacity, irrigation, ecozones and land surface elevation are used to model the drought severity, based on the Palmer Drought Severity Index (PDSI).
These interactive maps present a series of agroclimate-themed datasets for precipitation, temperature, growing degree days, and other variables. These datasets are key to understanding the conditions, risks and potential impacts of weather and climate on agriculture in Canada.
The Canadian major and minor crop field trial regions were developed following extensive stakeholder consultation and have been harmonized between the Pest Management Regulatory Agency (PMRA) and the Environmental Protection Agency of the USA.
The Cereal Aphid Manager is an easy-to-use mobile app that helps farmers and crop advisors control aphid populations in wheat, barley, oat or rye. The app predicts what the aphid population will be in seven days and the best time to apply insecticide.
Canada's Census of Agriculture mapping application displays the Census of Agriculture data using the geographic boundary of the Census Consolidated Sub-division (CCS).
This data provide a comprehensive picture of the agriculture industry across Canada every five years at the national, provincial and sub-provincial levels.
In the “Weekly Best-Quality Maximum-NDVI anomalies” dataset series, each pixel value corresponds to the difference (anomaly) between the mean n-year “Best-Quality” Max-NDVI of the week specified (e.g. Week 18, 2000-2014) and the “Best-Quality” Max-NDVI of the same week in a specific year (e.g. Week 18, 2014). Max-NDVI anomalies < 0 indicate where weekly Max-NDVI is lower than normal. Anomalies > 0 indicate where weekly Max-NDVI is higher than normal. Anomalies close to 0 indicate where weekly Max-NDVI is similar to normal.
Weather dashboard for more than 800 locations across Canada. Consolidates current conditions, forecast, and historical climate data all in one view. Customizable. Up to 360 different charts available per location with data going back as early as 1866. Live twitter feeds are available for many locations.
Description: Agriculture and Agri-Food Canada’s Agroclimate Map Selector is an online interactive tool on the Drought Watch website which allows users to select and view a large and ever-growing collection of agroclimate map products by specifying a region, product-type and timeframe of interest. AAFC’s current collection of near-real-time (NRT) agroclimate maps consists of more than 300 distinct products; more than half of these are updated daily; the rest are updated on longer time frames including weekly, monthly, seasonal and up to annual.
Agriculture and Agri-Food Canada’s Agroclimate Map Selector is an online interactive tool on the Drought Watch website which allows users to select and view a large and ever-growing collection of agroclimate map products by specifying a region, product-type and timeframe of interest. AAFC’s current collection of near-real-time (NRT) agroclimate maps consists of more than 300 distinct products; more than half of these are updated daily; the rest are updated on longer time frames including weekly, monthly, seasonal and up to annual.