The U.S. Department of Agriculture is introducing an internally developed artificial intelligence tool to validate its monthly crop production reports following recent data errors. The technology aims to provide an additional layer of verification for forecasts that directly shape global feed ingredient prices and commodity trading.

The U.S. Department of Agriculture (USDA) will implement a new artificial intelligence tool to review data in its November crop production report after errors in earlier estimates eroded market confidence. The decision follows a computer file error in September that incorrectly combined data on irrigated and non-irrigated corn acres, leading to significant yield miscalculations in key states like Nebraska and Kansas.

USDA officials clarified that the AI system will ‘supplement, rather than replace’, existing statistical procedures. "The tool is basically going to be used as a check to make sure that there are no anomalies that we were not able to see or identify in the normal process," said Scott Hutchins, USDA Under Secretary. The initiative comes as analysts and industry groups voice growing concern over reporting discrepancies in corn yield and soy processing data, which serve as crucial benchmarks for feed formulators and grain buyers worldwide. 

A recent survey by Ag View Solutions revealed that nearly three-quarters of surveyed U.S. farmers currently have little to no confidence in official crop reports, underscoring the pressure on the USDA to ensure data accuracy.