/answers/how-to-inspect-grain-and-seed-samples-with-computer-vision/index.md · 42 lines
---
title: "How to inspect grain and seed samples with computer vision"
description: "Spread each sample on a tray under a fixed camera and steady light, then use a model trained on the company own labeled sample images to mark kernels or seeds that look broken, shriveled, discolored, sprouted or damaged, plus foreign material such as stones, chaff or weed seeds. The model gives the inspector a marked image and a rough count by type, so they can check the flagged items first. It does not replace official grading, lab tests or the sampling rules a buyer or regulator requires, and a qualified inspector makes every grade call."
url: https://lidvizion.ai/answers/how-to-inspect-grain-and-seed-samples-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a grain handler or seed company use computer vision to check samples faster?
Spread each sample on a tray under a fixed camera and steady light, then use a model trained on the company own labeled sample images to mark kernels or seeds that look broken, shriveled, discolored, sprouted or damaged, plus foreign material such as stones, chaff or weed seeds. The model gives the inspector a marked image and a rough count by type, so they can check the flagged items first. It does not replace official grading, lab tests or the sampling rules a buyer or regulator requires, and a qualified inspector makes every grade call.
## What this means in practice
- Set up a fixed camera, steady lighting and a plain tray so every sample image looks the same
- Collect images of samples that qualified inspectors have already graded, for each crop and variety
- Label the damage types and foreign material the inspection program tracks
- Show inspectors a marked image and rough counts so they can check flagged items first and record their own grade
- Add inspector-reviewed images back into training each season and whenever a new crop or variety comes in
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
- [How can a bakery or food plant use computer vision to check bread, buns and pastries on the line?](https://lidvizion.ai/answers/how-to-inspect-baked-goods-with-computer-vision/)
- [How can a glass maker or fabricator use computer vision to check sheets, panels and containers?](https://lidvizion.ai/answers/how-to-inspect-glass-for-defects-with-computer-vision/)
- [How can a manufacturer use computer vision to check painted or coated parts?](https://lidvizion.ai/answers/how-to-inspect-paint-and-coating-finishes-with-computer-vision/)
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