Enter your last 4-6 harvest yields. See how much your production actually swings, what that inconsistency costs you, and what locking in your best run would mean in real dollars.
Your consistency analysis, yield chart, and dollar impact will appear here as you type.
Every commercial grower remembers their best run. The one where everything clicked, the canopy was perfect, and the dry weight exceeded expectations. But the question that determines whether an operation survives long-term isn't "how high can you go?" It's "how often can you repeat it?"
Yield consistency, measured by coefficient of variation (CV), captures something that average yield alone misses: how much your results swing from harvest to harvest. And that swing has a direct dollar cost.
When yields vary, so does revenue. But costs don't. Rent, labor, electricity, and loan payments stay the same whether you harvest 25 pounds or 35 pounds from a room. That means every below-average harvest directly increases your effective cost per pound, and the gap between your best run and your worst run represents real money left on the table.
| Coefficient of Variation | Rating | What It Means |
|---|---|---|
| Under 5% | Locked In | Highly repeatable. Process is dialed. Revenue is predictable. |
| 5-10% | Solid | Good consistency. Minor variation is normal across seasons and strains. |
| 10-20% | Room to Tighten | Notable swings. Something is changing between runs that shouldn't be. |
| Above 20% | High Variation | Major inconsistency. Likely losing thousands per year to unpredictable output. |
Yield variation in commercial cannabis cultivation comes from a predictable set of sources. Research published in HortScience and the Journal of Cannabis Research identifies the primary drivers:
Environmental inconsistency. VPD swings, temperature fluctuations during lights-off, and humidity spikes in late flower all impact final weight. The data typically shows 3-8% yield impact from environmental drift that goes unnoticed on a daily basis but compounds over a 9-week flower cycle.
Genetic variation within the same strain. Unless you're running clones from the same mother, phenotypic variation alone can account for 5-15% yield difference between plants. This shows up in canopy uniformity issues that are visible in overhead photos well before harvest.
Nutrition drift. EC and pH that drift 0.2-0.3 from target during mid-flower can reduce final weight by 5-10% without any visible deficiency symptoms until late in the cycle. Runoff data tells the story, but only if someone is watching it consistently.
IPM events. Even a mild pest pressure event (russet mites, thrips, powdery mildew) that doesn't cause visible damage can reduce trichome production and final dry weight by 5-15%. Operations that don't track pest pressure alongside yield data miss this connection entirely.
The path from high variation to tight consistency starts with tracking. You can't fix what you don't measure, and you can't identify patterns across runs without structured data. The most consistent operations track batch-level data including environment, nutrition, plant health observations, and final yield for every run.
The real power comes from comparison. When you can put your best run next to your worst run and see exactly what was different (environment, feed schedule, canopy photos, timing), the patterns become obvious. The consistency gap closes when those patterns stop repeating.
Use the Grow Efficiency Scorecard to benchmark where you stand, or learn more about how data-driven yield optimization works in practice.
These tools exist because I needed them. I'm Eric, commercial grower and software engineer in Michigan. I built Growgoyle to run my own facility and these calculators are just a piece of it. If you're running a grow and want to talk shop, text me.
Text me: 616-221-9856 · info@growgoyle.ai
- Eric