---
title: "How to grade potted plants with computer vision"
description: "A camera over the bench or the shipping line looks at each pot and sorts plants by size, fullness and bloom, and flags yellow or brown leaves, spots, wilting, broken stems, empty pots and missing tags for a person to check. Each grade is saved with a photo and the block, crop and date, so the team can see which benches are ready and which need more time. The grower decides every grade, and the usual plant health checks and shipping rules stay in place."
url: https://lidvizion.ai/answers/how-to-grade-potted-plants-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a nursery or greenhouse use computer vision to grade potted plants before they ship?

A camera over the bench or the shipping line looks at each pot and sorts plants by size, fullness and bloom, and flags yellow or brown leaves, spots, wilting, broken stems, empty pots and missing tags for a person to check. Each grade is saved with a photo and the block, crop and date, so the team can see which benches are ready and which need more time. The grower decides every grade, and the usual plant health checks and shipping rules stay in place.

## What this means in practice

- A camera above the bench, cart or shipping line takes a picture of each pot from the top and, when the line allows, from the side, at the same light and height each time.
- The model is trained on the clients own crops, pot sizes and grades. It sorts plants by size, fullness and how many blooms are open, and flags yellow or brown leaves, spots, wilting, broken stems, pests that are easy to see, empty or tipped pots and missing or wrong tags.
- Each grade is saved with a photo, the block, the crop and the date, so the team can see which benches are ready to ship, which need more time and which keep falling behind.
- The grower or a trained grader checks the flags and makes the final call on each grade. The camera points at the plants, not at people, and any people caught in view are blurred.
- Start with one crop and one pot size, compare the camera grades with what the graders call for a few weeks, and keep the existing plant health checks, inspections and shipping rules in place.

## 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 farm or grower use computer vision to find weeds in crop rows?](https://lidvizion.ai/answers/how-to-spot-weeds-in-crop-rows-with-computer-vision/)
- [How can an instrument maker use computer vision to inspect guitars, basses and other string instruments before they ship?](https://lidvizion.ai/answers/how-to-inspect-guitars-and-string-instruments-with-computer-vision/)
- [How can a hardware maker use computer vision to inspect hinges, handles and locksets?](https://lidvizion.ai/answers/how-to-inspect-door-hardware-with-computer-vision/)

[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)

Talk it through

## Have a version of this question inside your company?

Bring the decision, the constraints, and what a good outcome looks like.

[Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-grade-potted-plants-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)
