AI Skill

Cultivation & Production

Cannabis Harvest Yield Analysis

See which rooms and strains actually make money, from your own harvest data.

Requirements
Works with
Works with Claude
Claude
Works with ChatGPT
ChatGPT
Needs
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Code execution
Built for
Cultivators, vertically integrated operators
See which rooms and strains actually make money, from your own harvest data.
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This is a starting template. Change the questions, thresholds and output to fit how you work. AI can make mistakes, so check the output before you act on it. Report an issue

The problem it solves

A harvest comes in light and you can't tell if it was the strain, the room or missing weight.

Upload a harvest log or traceability harvest export and the skill builds a yield report by batch, strain and room. It covers dry-down, yield per plant, per square foot and per light, the flower, smalls and trim split, unaccounted weight and cost per dry gram.

Anomalies are flagged against your own history, not invented industry benchmarks.

Used by
Cultivation directors, head growers and finance leads at grows

What you'll need

Have these ready before you start.

  • Per batch: strain, room, harvest date, plant count, canopy square feet
  • Wet weight, dry weight and the dry breakdown (mixed grams and pounds are fine if labeled)
  • Optional: lights per room and room cost per cycle
  • An AI assistant that can run Python, such as Claude

What the AI does

  • Calculates wet-to-dry loss and yield per plant, square foot and light
  • Splits top flower, smalls and trim
  • Finds weight that isn't accounted for
  • Calculates cost per dry gram when costs are provided
  • Ranks strains and rooms and states the anomaly rule it used

What you get

A per-batch table, rankings, anomalies and data gaps. In a sample run of 8 Q3 harvests against a 25 g per square foot goal, it totaled 197.5 lb dry. The best room hit 28.3 g per square foot, the weakest hit 15.3 g with the highest cost per gram, and 4 batches had unrecorded weight to resolve before closing the harvests.

Better with Distru

In Distru, harvest weights, plant counts and room costs are already recorded against each batch, so the yield report doesn't start with a data export.

See the Distru MCP

Frequently Asked Questions

Let’s answer the most commonly asked questions about Cannabis Software.

What harvest metrics does the skill calculate?

Wet to dry loss, dry yield per plant, per square foot of canopy and per light, the split between top flower, smalls and trim, unaccounted weight, and cost per dry gram when you add room costs. Then it ranks your strains and rooms.

Does it compare my yields to industry benchmarks?

No. It flags unusual batches against your own history and any goal you set, like 25 g per square foot. It doesn't make up industry numbers.

What data do I need for each harvest?

Strain, room, harvest date, plant count, canopy square feet, wet and dry weight, and the dry breakdown. Lights per room and room cost per cycle are optional. Mixed grams and pounds are fine as long as the unit is stated.

Why did my harvest come in light?

Ask it exactly that. The report separates strain, room and missing weight, so you can see which one drove the shortfall. In a sample run of 8 Q3 harvests, 4 batches had unrecorded weight to resolve before closing.