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New in-field artificial intelligence technology will enhance sustainability and efficiency from field to fork

Today, Protein Industries Canada announced an innovative new project in collaboration with Croptimistic Technology, TheoryMesh and C-Merak Innovations aimed at transforming the agri-food value chain through the integration of artificial intelligence (AI) technologies. 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.

“With this project, Protein Industries Canada is supporting greater transparency and traceability throughout the supply chain,” said the Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry. “By leveraging artificial intelligence to enhance precision agriculture practices and increase the adoption of technologies in farming, these project partners are increasing sustainability in the agri-food sector and contributing to a cleaner and healthier environment for Canadians.”

Together, Croptimistic Technology, TheoryMesh and C-Merak Innovations 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 project will provide Canada with a unique selling advantage, helping us to fully understand our environmental impact from the field to the dinner table. Investments like this will help Canada achieve its sustainability goals and establish itself as a global leader in the sector,” said Lisa Campbell, Senior Director of Programs at Protein Industries Canada.

The project will see $5.4 million co-invested into innovative and scalable AI technologies that will enhance the sustainability, competitiveness and profitability of Canada’s agriculture and food production sector. Protein Industries Canada will invest $2.4 million, with the partners investing the remainder.

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Winter Canola Trial in Mississippi | Can It Work for Double Cropping? | Pioneer Agronomy

Video: Winter Canola Trial in Mississippi | Can It Work for Double Cropping? | Pioneer Agronomy

Can winter canola open new opportunities for growers in the Mid-South? In this agronomy update from Noxubee County, Mississippi, Pioneer agronomist Gus Eifling shares an early look at a first-year winter canola trial and what farmers are learning from the field.

Planted in late October on 30-inch rows, the crop is now entering the bloom stage and progressing quickly. In this video, we walk through current field conditions, fertility management, and how timing could make this crop a valuable option for double-cropping soybeans or cotton.

If harvest timing lines up with early May, growers may be able to transition directly into another crop during ideal planting windows. Ongoing field trials will help determine whether canola could become a viable rotational option for the region.

Watch for:

How winter canola is performing in its first season in this Mississippi field

Why growers chose 30-inch rows for this trial

What the crop looks like as it moves from bolting into bloom

Fertility strategy, including nitrogen and sulfur applications

How canola harvest timing could enable double-cropping with soybeans or cotton

Upcoming trials comparing soybeans after canola vs. traditional planting

As more growers look for ways to maximize acres and diversify rotations, experiments like this help determine what new crops might fit into existing systems.