---
title: "How to monitor turf with computer vision"
description: "Photos from a drone flown on a set route, or from a camera on a mower or utility cart, feed a model trained on the site own images. It marks likely problems such as dry or wilting patches, spots that look diseased or thin, worn areas around goals, tees and paths, standing water, weeds and damage from animals or vehicles, and places each one on a map of the site. Comparing one pass with the next shows which areas are getting worse, which helps the crew plan watering, repair and rest periods before small problems spread. Fly or drive when the site is closed or quiet, and blur any person who still appears. The superintendent or grounds lead reviews the map and decides what to treat, water or repair. The model does not replace walking the site, soil and moisture checks or product label rules, and people make every treatment call."
url: https://lidvizion.ai/answers/how-to-monitor-turf-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a golf course, sports field or grounds crew use computer vision to keep track of turf condition?

Photos from a drone flown on a set route, or from a camera on a mower or utility cart, feed a model trained on the site own images. It marks likely problems such as dry or wilting patches, spots that look diseased or thin, worn areas around goals, tees and paths, standing water, weeds and damage from animals or vehicles, and places each one on a map of the site. Comparing one pass with the next shows which areas are getting worse, which helps the crew plan watering, repair and rest periods before small problems spread. Fly or drive when the site is closed or quiet, and blur any person who still appears. The superintendent or grounds lead reviews the map and decides what to treat, water or repair. The model does not replace walking the site, soil and moisture checks or product label rules, and people make every treatment call.

## What this means in practice

- Start with a few holes, fields or zones.
- Label photos from your own turf for dry, thin, worn and wet areas.
- Capture photos on the same route at the same time of day.
- Fly or drive when the site is closed and blur anyone who appears.
- Review the map with the grounds lead before treating.

## 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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- [How can a warehouse or plant use computer vision to support daily forklift and lift truck checks?](https://lidvizion.ai/answers/how-to-support-forklift-pre-shift-checks-with-computer-vision/)

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