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Enhancing sustainability and efficiency from field to fork

ARTIFICIAL INTELLIGENCE PRIORITY

Accelerated Innovation

PROJECT TIMELINE
September 2024 to March 2026
PROJECT STATUS
Fund II: In progress
TOTAL INVESTMENT
$5,411,120

Consortium Contribution
$2,976,116

Cluster Contribution
$2,435,004

Partners

Croptimistic Technology

C-Merak Innovations

TheoryMesh

Goal

To improve the measurement and management of agricultural production practices at the sub-field scale, and subsequent traceability from the farm to the food processor

Project Summary

Croptimistic, TheoryMesh and C-Merak will develop and utilize AI-integrated technologies to consistently collect sub-field-level data and management practices from producers.

This data will then be used to predict process settings within the mill to generate high yields and less by-product or waste material, while at the same time, supplying ingredient processors and food manufacturers with the information necessary to support sustainability claims on food products.

This initiative seeks to enhance food production efficiency, improve food quality and support sustainability goals from farm to food processor by improving existing precision agriculture tools to enhance data collection and integration at the sub-field level. This will provide food manufacturers with verified data that complies with regulations and meets consumer expectations for transparency in the food they consume. The data collected will also help farmers and ingredient processors access sustainability incentive premiums and access to alternative markets.