/answers/how-to-grade-tea-leaves-with-computer-vision/index.md · 42 lines
---
title: "How to grade tea leaves with computer vision"
description: "A camera over a sample tray at leaf intake takes a photo of each sample. A model trained on the estate own images, labeled against its own plucking standard, estimates the share of fine leaf, such as two leaves and a bud, against coarse or damaged leaf, and marks stalks, old leaves and foreign material. Results are tagged with the field and batch, so the factory can give feedback to field teams the same day and plan withering and processing. For finished tea, photos of graded samples can check leaf size, color and stalk content against the grade. A tea taster or quality lead reviews the results and decides the grade, the blend and what is sold. The model does not replace tasting, moisture tests or buyer specs, which stay in place, and people make every grading and selling call."
url: https://lidvizion.ai/answers/how-to-grade-tea-leaves-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can a tea estate or factory use computer vision to check plucked leaf and finished tea?
A camera over a sample tray at leaf intake takes a photo of each sample. A model trained on the estate own images, labeled against its own plucking standard, estimates the share of fine leaf, such as two leaves and a bud, against coarse or damaged leaf, and marks stalks, old leaves and foreign material. Results are tagged with the field and batch, so the factory can give feedback to field teams the same day and plan withering and processing. For finished tea, photos of graded samples can check leaf size, color and stalk content against the grade. A tea taster or quality lead reviews the results and decides the grade, the blend and what is sold. The model does not replace tasting, moisture tests or buyer specs, which stay in place, and people make every grading and selling call.
## What this means in practice
- Start with leaf intake at one factory or one set of fields.
- Label photos from your own samples against your own plucking standard.
- Tag results by field and batch for same-day feedback.
- Check finished tea samples against your grade rules.
- Keep tasting, moisture tests and buyer specs 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 coffee importer, mill or roaster use computer vision to check green and roasted beans?](https://lidvizion.ai/answers/how-to-grade-coffee-beans-with-computer-vision/)
- [How can a mushroom farm use computer vision to check beds and grade harvested mushrooms?](https://lidvizion.ai/answers/how-to-grade-mushrooms-with-computer-vision/)
- [How can a waste hauler or property manager use computer vision to see how full dumpsters and roll-off bins are?](https://lidvizion.ai/answers/how-to-check-dumpster-fill-levels-with-computer-vision/)
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