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USDA to test satellites, AI to improve crop estimates amid farmer criticism

Created at 1 Sep · 6:49 PM1 source↑ Market-relevant
IN SHORT

The U.S. Department of Agriculture is launching a pilot project using satellite imagery, AI, and crop models to improve its crop acreage and yield estimates. This initiative comes amid criticism from farmers and traders regarding the reliability of the agency's agricultural data.

Key Numbers

2025year of planting and harvesting estimates facing criticism

Who's Involved

Brooke Rollins
Secretary of Agriculture, discussed data modernization plan
USDA
U.S. Department of Agriculture, launching pilot project
NASA
Federal agency collaborating on satellite imagery
Harry Fones
USDA spokesman
Donald Trump
President whose administration policies affect farm economy
USDA to test satellites, AI to improve crop estimates amid farmer criticism

↳ Why This Matters

The USDA's efforts to improve agricultural data accuracy are crucial for market stability, farmer profitability, and the effectiveness of federal farm programs, especially as farmers face economic challenges from tariffs and rising costs.

Key facts

  • The USDA will pilot a project to enhance crop acreage and yield estimates.
  • The initiative will incorporate satellite imagery, AI, and crop modeling.
  • This effort addresses farmer and trader criticism over the reliability of USDA agricultural data.
  • The USDA aims to improve data accuracy and timeliness while reducing farmer reporting burdens.

    • The U.S. Department of Agriculture is initiating a pilot program to enhance its crop acreage and yield estimates by leveraging advanced technologies, including satellite imagery and artificial intelligence. Secretary Brooke Rollins announced the plan on Tuesday at the Farm Progress Show in Boone, Iowa, acknowledging mounting criticism from farmers and traders concerning the accuracy and reliability of the agency's agricultural data.

    The project will integrate geospatial tools and crop models with farmer surveys, with the USDA also exploring the use of AI and machine learning. This move follows complaints about the department's data, particularly after significant increases between initial and final estimates for corn acreage and harvests in 2025, which have impacted commodity markets and farmer profitability.

    Rollins stated that the data collection changes are designed to decrease the frequency of farmer data requests while improving the timeliness and precision of statistics. The USDA also committed to providing greater transparency regarding its methodologies, survey response rates, and data limitations. Much of the recent criticism has targeted the National Agricultural Statistics Service, whose reports significantly influence commodity prices and federal farm programs.

    The announcement comes as the USDA conducts listening sessions with farmers across the country. These sessions have revealed deep-seated frustration over data reliability and staffing cuts, with Rollins acknowledging the need to rebuild farmer trust. Farmers have also used these forums to voice broader concerns, such as dissatisfaction with President Donald Trump's decision to increase imports of Argentine beef, which producers fear will depress cattle prices.

    Frequently asked questions

    The agency is responding to criticism from farmers and traders about the reliability of its crop estimates and aims to improve accuracy and timeliness while reducing the burden on farmers.

    The pilot project will utilize improved satellite imagery, geospatial tools, crop models, and explore artificial intelligence and machine learning.

    Unreliable estimates have led to market volatility, with grain prices falling significantly after the release of final estimates, impacting farmer revenues.

    What Happens Next

    01USDA will conduct more listening sessions through the fall.
    02The pilot project will evaluate the use of improved satellite imagery and AI.

    How It Developed

    The USDA is launching a pilot project to improve crop estimates.
    The project will use satellite imagery, AI, and crop models.
    The agency faces criticism over data reliability from farmers and traders.
    Secretary Brooke Rollins discussed the plan at the Farm Progress Show.
    The USDA aims to reduce farmer data requests while improving accuracy and timeliness.
    Rollins acknowledged the need to rebuild farmer trust in USDA data.

    Sources

    T1
    USDA to test satellites, AI to try to improve crop estimates amid farmer criticismReuters

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