Land O'Lakes trials 'Oz' AI to boost farm profits amid cost pressure.

By John KellContributing Writer and author of CIO Intelligence
John KellContributing Writer and author of CIO Intelligence

    John Kell is a contributing writer for Coins2Day and author of Coins2Day’s CIO Intelligence newsletter.

    Southeast US
    A farmer walks along his rows of seed corn during harvest in temperatures over 100 degree heat, (37 C) Tuesday, July 29, 2025 near Albany, Ga.
    AP Photo/Mike Stewart

    American farmers are facing intense business pressures from all sides. Crop prices have been plunging, while tariffs have pushed up the cost of fertilizer, machinery, and other farming equipment. And then there’s the issue of labor. The U.S. Agricultural workforce tumbled by 7% from March through July of this year.

    TL;DR

    • Land O’Lakes is piloting an AI tool named "Oz" to help farmers increase profitability.
    • Oz assists agronomists in creating ideal crop plans considering weather, soil, pests, and seeds.
    • The AI tool, developed with Microsoft, aims to improve yields and reduce agronomist workload.
    • Oz is designed to provide accurate recommendations, replacing an 800-page physical guide.

    “How can we help farmers be more profitable?” It was a critical question that Leah Anderson, president of Land O’Lakes’ crops insights division WinField United, and the dairy cooperative’s Chief Technology Officer Teddy Bekele, asked each other about a year ago, before economics on the farm became even more dire throughout 2025.

    Knowing that farmers are always angling to achieve the most profit per acre possible, Land O’Lakes developed and is currently piloting a new AI tool called “Oz,” which can help agronomists as they work with farmers to map out an ideal crop production plan that accounts for different weather variations, soil health, pest risks, and seed selection. All those decisions ultimately factor into a successful yield for the farmer.

    Oz relies on Land O’Lakes’ insights, including millions of data points compiled over a 20-year period by the Minnesota-based Coins2Day 500 company. Land O’Lakes worked with Microsoft to build the Oz mobile app, which is currently an internal pilot program and designed to replace a physical 800-page book that agronomists rely on to make recommendations to farmers.

    Anderson says she is “very confident” that Land O’Lakes will be able to prove the return on investment for Oz to justify a full deployment. “At the end of the day, a farmer is extremely pressured from a profitability perspective and so they need to know that what they’re using is actually going to have an impact,” says Anderson. “They cannot waste a dime right now.”

    Land O’Lakes is monitoring Oz’s ability to help improve farm yields with the right insights, the time saved in conversations between agronomists and farmers, and ease pressure on the workforce. Anderson says that one out of every four retail agronomists exit the organization each year and that with such high turnover, there’s a lot of pressure on the more senior staff to train newer employees. An AI tool like Oz could make onboarding easier.

    “The reality is it’s hard to recruit into rural America,” explains Anderson. “It’s hard to get folks to stay and develop their careers.”

    Oz is one component of a multiyear strategic partnership with Microsoft that Land O’Lakes announced on Wednesday, as the AI assistant is built on models within Azure AI Foundry. The companies say that Land O’Lakes has migrated more than two-thirds of its IT environment to Microsoft Azure and is piloting Microsoft Copilot licenses. Microsoft has also partnered with Land O’Lakes for generative AI training, including town halls and “data and AI days.” The pair vows to collaborate on additional AI-enabled solutions focused on the agriculture industry in the future.

    “This infrastructure is the foundation for innovating with AI,” says Lorraine Bardeen, corporate vice president of AI transformation at Microsoft, adding that the teams “collaborated on Oz’s architecture, model selection, data structure and indexing and system prompts,” which optimized the accuracy of responses.

    Some use cases that Land O’Lakes is deploying with Oz include helping an agronomist as they map out a farm plan before growing season, determining which biopesticides or biofertilizers are needed for pest control or to make nutrients more available in the soil for plants to use. Another way the tool can be used is during the growing season when adjustments may need to be made if weeds get out of control or an invasive insect species attacks.

    In both cases, there could be thousands of different product recommendations or formulations that could be utilized to address those issues. To quickly pull the right info, agronomists can either type in a prompt or use voice commands to ask a question and get a response from Oz.

    While Anderson declined to share a time horizon for how long the pilot phase would last, she said that Land O’Lakes is keeping an especially close eye on hallucinations. The co-op has a dedicated group of senior agronomists, from all across the U.S., who are able to pressure test the regionally relevant responses and ensure the outputs are valid.

    “Oz has to give accurate recommendations every time,” says Anderson. “The second Oz starts hallucinating or spitting out a bad recommendation is when we’ll lose any excitement or willingness to adopt and it’ll erode trust.”

    And while the name for Oz may evoke the rural Kansas farm that Dorothy called home in “The Wizard of Oz,” the development team was actually inspired by the abbreviation for ounce, which is oz.

    “When you’re making decisions about how to mix products or how much water goes with them, you’re worrying a lot about ounces and not screwing that up,” says Anderson.

    John Kell

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