GrainODM is an AI-powered grain inspection system that replaces slow manual sorting with 600× faster, fully automated analysis. It detects impurities, defects, and grain types in just 3 seconds—bringing precision, consistency, and real-time quality control to modern grain processing.

GrainODM, a European-developed AI grain inspection system, is transforming agricultural quality control with 600× faster grain sample analysis. Traditional laboratory testing can take 20-30 minutes per sample, depending on operator skill and workload. GrainODM performs the same work in as little as 3 seconds, delivering instant, objective, and fully automated grain purity results.

Designed for grain processors, elevators, seed producers, and laboratories, GrainODM uses industrial imaging and advanced computer-vision AI to classify grain types and detect impurities with high accuracy. The system identifies unhulled kernels, husks, foreign grains, dark or damaged grains, overheated flakes, and multiple defect categories across oats, wheat, barley, rye, hemp, and other cereals.

By eliminating subjectivity and manual sorting, GrainODM provides consistent unit and mass-based percentages, automatic digital reporting, and full traceability for every batch. It reduces labor time, prevents quality disputes, and supports real-time decision-making during grain intake and processing.

The system aligns with the growing shift toward precision farming, digital agriculture, and automated grain quality inspection. Early adopters in Northern Europe have already recorded major gains in efficiency, consistency, and operational throughput.

With GrainODM, the grain industry can finally replace slow manual inspection with fast, scalable, AI-driven grain quality control—setting a new standard in the global grain supply chain.