Detecting herbicide-resistant weeds

Process Augmentation
Consortium Contribution
$3,390,528
Cluster Contribution
$2,769,523
Precision AI
Geco Strategic Weed Management
Global Institute for Food Security (GIFS) at the University of Saskatchewan
SureGrowth Solution
Goal
To address the spread of herbicide-resistant weeds in Canada, particularly those affecting protein-rich crops
Project Summary
The project will see the development of an AI-powered early detection system that will help farmers and agronomists identify and treat herbicide-resistant weeds.
Building off of technology developed in a project led by Precision AI under Protein Industries Canada’s first round of funding, the partners will add to it a new software application that utilizes drone and satellite imagery to examine each weed in the field with plant-level precision, leveraging advanced AI techniques to deliver timely alerts to farmers about potential resistance issues.
By identifying and targeting specific weeds using prescribed herbicides, farmers can reduce their crop inputs and field passes, while increasing yields and improving crop quality. The benefits of the new technology are expected to affect the full value chain, improving the ingredient supply chain and leading to a more consistent, high-quality supply of products for ingredient processors and food manufacturers.