---
title: "How to grade cut flowers with computer vision"
description: "A camera over the grading bench or conveyor takes a photo of each stem or bunch. A model trained on the grower own images, labeled against its own grade rules, estimates stem length and head size, and marks likely issues such as bent stems, bruised or browning petals, damaged leaves, pests and heads that are too open or too tight. It suggests a grade and a bunch, and keeps the photo so a grader can see why. Graders review flagged stems and spot check the rest during each shift, and the packhouse lead decides what is sold, sent to a lower grade or thrown out. The model does not replace plant health or import checks, which stay in place, and people make every grade and shipping call."
url: https://lidvizion.ai/answers/how-to-grade-cut-flowers-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a flower grower or packhouse use computer vision to grade stems and bunches?

A camera over the grading bench or conveyor takes a photo of each stem or bunch. A model trained on the grower own images, labeled against its own grade rules, estimates stem length and head size, and marks likely issues such as bent stems, bruised or browning petals, damaged leaves, pests and heads that are too open or too tight. It suggests a grade and a bunch, and keeps the photo so a grader can see why. Graders review flagged stems and spot check the rest during each shift, and the packhouse lead decides what is sold, sent to a lower grade or thrown out. The model does not replace plant health or import checks, which stay in place, and people make every grade and shipping call.

## What this means in practice

- Start with one crop and one grading line.
- Label a few thousand photos from your own stems against your own grade rules.
- Show the suggested grade to the grader before any automatic sorting.
- Spot check graded bunches each shift.
- Keep plant health and import checks 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 property manager, campus or city crew use computer vision to find litter and graffiti faster?](https://lidvizion.ai/answers/how-to-spot-litter-and-graffiti-with-computer-vision/)
- [How can a nut huller, sheller or packer use computer vision to sort kernels and in-shell nuts?](https://lidvizion.ai/answers/how-to-sort-nuts-with-computer-vision/)
- [How can a shipping dock use computer vision to check how trailers are loaded before they leave?](https://lidvizion.ai/answers/how-to-check-trailer-loading-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-cut-flowers-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)
