---
title: "How to grade mushrooms with computer vision"
description: "Cameras over the growing beds take photos on a set schedule, and a camera over the packing line takes a photo of each mushroom or punnet. A model trained on the farm own images estimates cap size and how many caps look ready to pick, and marks likely issues such as open veils, spots, bruising, misshapen caps and discoloration. Bed photos tagged with the room and bed help pickers go where caps are ready first, and line photos suggest a grade so packers can sort faster. The growing team reviews bed results each day and the packing lead checks graded samples each shift, and they decide what to pick, grade and ship. The model does not replace food safety checks or customer specs, which stay in place, and people make every harvest and grading call."
url: https://lidvizion.ai/answers/how-to-grade-mushrooms-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

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

# How can a mushroom farm use computer vision to check beds and grade harvested mushrooms?

Cameras over the growing beds take photos on a set schedule, and a camera over the packing line takes a photo of each mushroom or punnet. A model trained on the farm own images estimates cap size and how many caps look ready to pick, and marks likely issues such as open veils, spots, bruising, misshapen caps and discoloration. Bed photos tagged with the room and bed help pickers go where caps are ready first, and line photos suggest a grade so packers can sort faster. The growing team reviews bed results each day and the packing lead checks graded samples each shift, and they decide what to pick, grade and ship. The model does not replace food safety checks or customer specs, which stay in place, and people make every harvest and grading call.

## What this means in practice

- Start with one growing room and one packing line.
- Label photos from your own beds and mushrooms against your own grade rules.
- Tag bed photos with the room and bed so pickers know where to go.
- Show the suggested grade to packers before any automatic sorting.
- Check graded samples each shift and keep food safety 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.

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- [How can a city, road agency or parking lot owner use computer vision to find worn road and lot markings?](https://lidvizion.ai/answers/how-to-check-road-markings-with-computer-vision/)

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