/answers/how-to-score-dairy-cow-body-condition-with-computer-vision/index.md · 42 lines
---
title: "How to score dairy cow body condition with computer vision"
description: "Mount a camera above a lane the cows already walk through, such as the exit from the parlor, and use a model trained on the farm own images that a trained scorer has already scored to suggest a body condition score for each cow, linked to her ID tag. The herd manager sees a list of cows whose suggested score has changed or sits outside the target range for her stage of lactation. The model only suggests scores to help people decide which cows to look at; a trained scorer checks flagged cows in person, and any health, feeding or treatment decision stays with the herd manager and the farm vet or nutritionist."
url: https://lidvizion.ai/answers/how-to-score-dairy-cow-body-condition-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a dairy use computer vision to help track body condition scores across the herd?
Mount a camera above a lane the cows already walk through, such as the exit from the parlor, and use a model trained on the farm own images that a trained scorer has already scored to suggest a body condition score for each cow, linked to her ID tag. The herd manager sees a list of cows whose suggested score has changed or sits outside the target range for her stage of lactation. The model only suggests scores to help people decide which cows to look at; a trained scorer checks flagged cows in person, and any health, feeding or treatment decision stays with the herd manager and the farm vet or nutritionist.
## What this means in practice
- Mount a camera above a lane cows already use, with steady lighting and a way to read each cow ID
- Have a trained scorer score a set of cows so the model has scored images to learn from
- Suggest a score for each cow and list those whose score has changed or sits outside the target range
- Have a trained scorer check flagged cows in person and record the final score
- Add newly scored images back into training each season and whenever the herd or setup changes
## 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.
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