AI Grain Impurity Analysis
See a real report. Open a grain sample and explore every impurity, broken kernel and defect the system detects, grain by grain.
The physical side of grain quality
This is the EN 15587 (Besatz) side of grain analysis. Every object in the sample is detected and classified, never estimated. Each number ties back to a kernel in the image.
Over 20 classes per crop, across wheat, barley, oats, rapeseed and hemp. Don’t see your crop? Other crops can be added on request.
Related: EN 15587 / Besatz guide · Grain purity test · Grain analyzers explained
What’s actually scanning your sample
You’ve seen the output. This is the unit that produces it. Tap any part to see what it does.
The weighed sample is imaged inside the sealed cabinet and classified in about three seconds. Every result keeps an auditable image you can open and review later.
Grain impurity analysis, answered
A visual method: it photographs a grain sample and classifies every object (sound grain, impurities, broken and defective kernels, weed seeds, disease) in about three seconds. It returns an EN 15587 (Besatz) style breakdown, with each number traceable to individual kernels.
Grain admixtures (other cereals), weed and foreign seeds, stones, husks, plant parts and debris; broken, shrivelled, sprouted, darkened and pest-damaged kernels; and harmful impurities such as ergot, sclerotia and Fusarium. Over 20 classes per crop.
Wheat, barley, oats, rapeseed and hemp today, each with its own model. Other crops can be added on request.
NIR measures chemistry: protein, moisture, oil. This measures physical composition: impurities, defects and foreign material. They answer different questions; most intake points use both.
It runs the same impurity assessment in seconds instead of about 30 minutes, and keeps an auditable image for every result. Operators use it to check every load and reserve manual grading for disputes or calibration.
Every object is classified individually, so results are traceable to the image, not estimated. In an independent blind study against five expert lab technicians, GrainODM’s grade matched at least one expert in 96.2% of samples, backed by 600+ production tests over four months.
Main grain: Wheat · Barley · Undehulled oat · Rapeseed · Healthy hemp
Impurities & defects: Animal parts · Beans · Borage · Broken · Buckwheat · Castor seed · Cockspur grass · Common couch · Common thistle · Common wild oat · Corn · Cornflower · Curly dock · Damaged · Darkened · Debris · Dehulled hemp · Ergot · Foreign material · Foreign seeds · Fusarium · Galium · Grain cereal · Hairy tare · Heat damage · Hemp husk · Husk · Immature · Immature hemp seeds · Legumes · Lentil · Mustard · Oat · Oats · Oilseed radish · Other grain · Other seeds · Overheated · Pale smartweed · Peas · Pebble · Pest damage · Plant parts · Ragweed seeds · Rye · Sclerotium · Small · Small bugloss · Spoiled · Sprouted · Stones · Sunflower seed · Toothed medick · Triticale · Twin oat · Wild radish · Wild radish dehulled · Woolly burdock
Still have questions?
Book a slot and we’ll walk you through the details and answer anything the FAQ didn’t.
Prefer to send your questions in writing?
Tell us your crop, how much grain you handle, and what you need to grade, and Dainius will reply with specifics.
Dainius Grigaitis
Business Development Manager