From Precision to Decisions: Farming’s AI Shift

USDA forum highlights a shift toward AI systems that guide real-time farming decisions, not just monitor crops

21 Feb 2026

The US Department of Agriculture’s annual Outlook Forum placed artificial intelligence at the centre of discussions on how American farming can maintain competitiveness, marking a shift in how the technology is framed within policy and research.

Held in Arlington, Virginia on February 19-20, the 102nd forum brought together more than 80 experts across 30 sessions. A dedicated track examined how AI is being applied to seed development and production, with an emphasis on raising yields and lowering costs. The discussions indicated that AI is moving from a peripheral topic to a more central role in USDA-linked programmes.

Jaye Hamby, director of the USDA’s National Institute of Food and Agriculture, described a transition beyond traditional precision agriculture. She outlined a model she termed “decision agriculture”, in which AI systems guide farm choices in real time.

Under this approach, AI tools do not only improve how inputs such as fertiliser or water are applied, but determine “which inputs to use, when, and at what rates”, drawing on combined data from weather, soil, crop development and markets.

William Aderholdt, co-founder of Grand Farm, a North Dakota-based non-profit focused on autonomous agriculture, said adoption is likely to build incrementally. He noted that farmers investing in GPS and telematics systems are “laying the foundation for the next generation of autonomous systems”.

The emphasis on practical deployment, rather than long-term potential, was a recurring theme throughout the forum’s AI sessions.

The focus aligns with priorities set out by USDA Secretary Brooke Rollins in December 2025, which identified mechanisation, automation and input reduction as key drivers of farm profitability.

Taken together, the forum’s discussions and the department’s research agenda suggest that AI and automation are gaining weight in federal agricultural policy. For producers facing tighter margins, the direction of travel is increasingly clear: AI-based decision tools are being positioned as near-term operational tools rather than future innovations.