2023 Collaborations

We are developing image collections of pea plants and their root systems in order to apply machine learning to prairie crops and test the associations between Rhizobium inoculation and pea growth. Rapid phenotyping pipelines will allow pea breeders to select for increased resilience and higher yields faster than previously possible.

We are working with TheoryMesh to test farm data integration capabilities within their newly developed FarmCapture product. This product uses blockchain to track and document agronomic data, and leverages machine learning to analyze inputs in a comprehensive way to support sustainable agricultural practices.

EMILI is working with the TerraByte research team at the University of Winnipeg to develop a publicly accessible database of labelled images of plants and weeds which will be used to train machine learning models for Prairie-centric plant phenotyping, disease assessment, and weed management.

We are working with GrainFox to assess and authenticate the powerful capabilities of their Smart Advisor tool in generating personalized sales recommendations. They are able to access crop data within our Innovation Farms' AgExpert Field account to validate the robustness of their application programming interface (API).

We are working with Geco Engineering to assess the performance of their techniques for proactive weed management including predicting weed locations and detecting emerging herbicide resistance. We are using drone flights and satellites to collect imagery on kochia and wild oat.

AIRM's Crop Sentry systems collect daily multispectral point cloud and other sensor data throughout the season on soil conditions, weather, and plant health. Computer vision and machine learning models provide real-time information to predict crop yield and quality outcomes to optimize decisions and inform best practice standards.

Innovation Farms will be hosting field tours and demonstrations to showcase innovative on-farm 4R practices on August 9, 2023. This event is being hosted in collaboration with Canola Council of Canada, Fertilizer Canada, Enns Brothers, and 4R Nutrient Stewardship.

Using Agvise's multi-page soil health report analysis, we will be testing fields with a history of implementing 4R practices to analyze soil health indicators such as soil organic carbon. We will compare these results with soil from other fields.

We will be applying a Fusarium Head Blight (FHB) risk mapping model to validate the relation between current weather patterns and disease risk on Canadian cereal crops, such as winter wheat and barley.

Weather stations, soil sensors, crop cameras, and insect monitoring stations set up across Innovation Farms allow us to remotely monitor crops to inform sustainable and profitable crop production decisions from field to field.

We will use Macdon's high-performance harvesting equipment and related resources, technical knowledge, and strategic guidance to increase the integration of intelligent technologies

We are using AgExpert Field and Accounting software to provide valuable insights as part of our testing, research, and technology development.

With carbon sequestration data from Holos™ and crop health monitoring data from TCS's satellite data, AgExpert Field is a low-touch way to calculate soil organic carbon.

We are using InputsPro moblie application to retrieve information on rates, water volume, tank mix options and more for the safe and effective application of crop inputs.

Throughout 2023, EMILI will be using the hashtag #ThisisAgriculture to introduce you to the talented and diverse people and technologies that make up Canada's digital agriculture sector.

Soil samples collected from a canola nitrogen ramp trial will be analyzed with ATP’s NutriScan diagnostic tool to demonstrate how real-time monitoring of field conditions can provide more frequent insights into the nutrient status of your soil to inform decision-making.