Why Feed Mills Run NIR on Every Truck: Soybean Meal, DDGS, and Finished Feed

Frequently Asked Questions

Why do feed mills use NIR on every ingredient truck?

Feed cost and consistency depend on knowing what you're buying. Soybean meal from the same supplier can vary 2–4% in protein depending on season and extraction method. Corn moisture affects storage stability and diet formulation. NIR at receiving lets mills verify specifications before unloading, reject off-spec ingredients, and adjust diet formulations on the fly. For operations running thousands of tonnes per week, 1% variation in ingredient protein costs millions per year.

What does NIR measure in finished feed?

NIR measures the composition of the final feed — protein, moisture, fat, fiber — across the mixed and pelleted product. This verifies that the diet was formulated correctly and that the mixer, extruder, and cooler didn't change composition significantly. For species-specific feeds (poultry, swine, aquaculture), NIR confirms label claims and catches major mixing errors before feed ships to customers.

How often should feed mill NIR calibrations be validated?

Feed mill calibrations should be validated monthly against reference methods for the main parameters (protein, moisture, fat, fiber). If raw material suppliers change or seasonal composition shifts significantly, recalibration may be needed. Most mills run parallel testing for a week (NIR + reference lab) before accepting new ingredients to catch calibration drift early.

What's the biggest calibration mistake feed mills make when scaling up NIR use?

Building the calibration set from a narrow window of raw material — one supplier, one season — then expecting it to hold as sourcing changes. A model trained on fall-harvest corn can mispredict on spring-delivered corn from a different growing region. Mills that scale NIR successfully budget for periodic recalibration as their supplier base changes, not just at initial installation.