NASHVILLE, TENN. (RFD NEWS) — Artificial intelligence (AI) technology is becoming a bigger part of agriculture, but new research suggests many farmers are still uncertain about how much value the technology can provide.
The latest Ag Economy Barometer shows data-driven tools continue to face a steep learning curve on U.S. farms. Purdue University economists say one of the biggest challenges is that AI recommendations don’t always match real-world conditions in the field.
For example, a system may recommend planting corn or soybeans at a specific time, but weather, labor availability, or equipment constraints can quickly change those plans.
Researchers asked producers how often data-driven recommendations are difficult to follow due to labor, equipment, or timing constraints. Nearly two-thirds of respondents said “sometimes,” while another 22% said “often,” highlighting the practical challenges of implementing AI-generated recommendations.
The survey also found many farmers remain unconvinced of the technology’s value. When asked about the benefits of artificial intelligence and other data-driven tools, 52 percent of respondents said they see no benefit from using them.
USDA Begins to Integrate AI in Beef Grading
While adoption on the farm continues to evolve, USDA is already using artificial intelligence in one area of agriculture: beef grading.
The Agricultural Marketing Service uses cameras equipped with image classification technology to evaluate beef carcasses. According to USDA’s Robert Eaton, AI models analyze images to provide consistent, objective quality grades before uploading them for remote review by AMS staff.
Eaton says the technology has streamlined the grading process, reduced staffing needs, and lowered customer costs by up to 50 percent, making grading services more accessible—particularly for small, family-owned operations.
Despite the growing role of artificial intelligence, USDA says people remain an essential part of the process. Along with cameras and LiDAR technology, experienced grading specialists continue to oversee the system and help refine the AI models that support beef inspections.
