/answers/how-to-check-livestock-water-troughs-with-computer-vision/index.md · 42 lines
---
title: "How to check livestock water troughs with computer vision"
description: "Point a small camera at each trough, or check photos from a remote camera on a schedule, then use a model trained on the farm own photos to mark troughs that look low, empty, overflowing, frozen over or dirty, and troughs with debris or algae. The farm gets a short daily list of troughs to visit, with the photo and location for each. The model only flags troughs worth a look; staff check and fix each one in person, and any concern about animal health or intake goes to the farm manager and the vet."
url: https://lidvizion.ai/answers/how-to-check-livestock-water-troughs-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a farm or ranch use computer vision to keep an eye on water troughs across barns and pastures?
Point a small camera at each trough, or check photos from a remote camera on a schedule, then use a model trained on the farm own photos to mark troughs that look low, empty, overflowing, frozen over or dirty, and troughs with debris or algae. The farm gets a short daily list of troughs to visit, with the photo and location for each. The model only flags troughs worth a look; staff check and fix each one in person, and any concern about animal health or intake goes to the farm manager and the vet.
## What this means in practice
- Place a small camera with a clear view of each trough, or plan a photo route at set times
- Collect photos that staff have already marked as fine, low, empty, frozen or dirty
- Label the conditions the farm tracks for each trough type and season
- Send staff a short list of troughs to visit, with the photo and location for each
- Add reviewed photos back into training as seasons, troughs and camera spots change
## 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 dairy use computer vision to check stall bedding and alley cleanliness between cleanings?](https://lidvizion.ai/answers/how-to-check-freestall-bedding-and-cleanliness-with-computer-vision/)
- [How can a dairy use computer vision to help track body condition scores across the herd?](https://lidvizion.ai/answers/how-to-score-dairy-cow-body-condition-with-computer-vision/)
- [How can a dairy or feedlot use computer vision to help with daily bunk reads?](https://lidvizion.ai/answers/how-to-read-cattle-feed-bunks-with-computer-vision/)
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