NIR at the Grain Elevator: Protein, Moisture, and Starch Before the Truck Leaves

How grain elevators and oilseed processors use NIR to measure protein, moisture, and starch — and catch off-spec deliveries at the scale.

Grain Elevator: Intake to Load-Out

Oilseed Processing

NIR for On-Farm Decisions

Frequently Asked Questions

What protein and moisture targets do grain elevators use?
Grain targets vary by crop and market. Wheat for bread flour is typically 12–13% protein, while soft wheat for pastry is 9–10%. Corn for feed is 12–14% protein. Soybeans are usually 36–40% protein. Moisture standards are tighter: most grains are accepted at 13–14% moisture for long-term storage, and higher moisture grains are discounted or rejected. NIR at intake lets you verify every truck meets these specifications before you commit to pricing.
How accurate is NIR for protein testing compared to Kjeldahl?
Modern NIR calibrations for grain protein achieve standard error of prediction (SEP) of 0.3–0.5% when validated against Kjeldahl method. This is excellent for commercial purposes — a protein swing of 1–2% directly affects the purchase price. Calibrations must be validated against Kjeldahl for your specific region and harvest year, as soil, weather, and variety all influence the grain composition and thus the NIR calibration.
Why does NIR calibration drift in grain handling?
Grain calibration drift happens because the NIR spectrum is sensitive to moisture, temperature, and physical damage that don't affect the chemical composition. A harvest with higher protein but lower moisture looks different on the spectrometer than the same protein with higher moisture. Seasonal variations in grain composition also require periodic recalibration. Regular validation against reference methods is essential — most grain operations recalibrate quarterly to track seasonal shifts.