01
Observation capture
Plain-language grow records become structured production data.
Stage notes, environment readings, harvest weights, contamination observations, and photo evidence land in the same operating history.

bootInitializing neural pathways
Crowe Logic Inc.Southwest Mushrooms / Field systemCommercial mycology data science
The value is not the prompt box. The value is the longitudinal record: what changed between batches, which signals moved before contamination appeared, and which procedure actually improved the next run.
Book / grow log / contamination bench / pattern workbench / one operating surface.
pattern match / 04:42 ago
Humidity dropped 14 points while CO2 climbed past the fruiting envelope. Same signature preceded contamination on batches SHII-0331 and SHII-0408.
20+ yrs
commercial farm experience
book
The Mushroom Grower mapped to the app
ops
vision, logs, SOPs, records
What the platform actually produces
These are not screenshots dressed up for the homepage. They are the same components the system renders inside an active grow.
Vision
uploaded sampleremediation
Environment
pattern match / 04:42 ago
Humidity dropped 14 points while CO2 climbed past the fruiting envelope. Same signature preceded contamination on batches SHII-0331 and SHII-0408.
Procedures
01
Observation capture
Stage notes, environment readings, harvest weights, contamination observations, and photo evidence land in the same operating history.
02
Pattern analysis
Species envelopes, batch age, substrate, humidity drift, CO2 drift, and visual symptoms are treated as signals instead of disconnected notes.
03
Procedure output
Every recommendation stays tied to the record: what was observed, what changed, what to verify, and what to do next.
Source media bank
The current bank has 6,001 indexed stills from 11 downloaded videos, with each still tied back to its source timestamp.
HarvestShiitake harvest pass
Shiitake harvest in the grow room.
LabClean work and culture transfer
Liquid culture work at the flow hood.
ProductionMaitake morphology check
Maitake production block, ready for fruiting.
SterilizationSubstrate sterilization workflow
Substrate blocks loaded into an All-American pressure sterilizer.
Pattern analysis tools
| batch | substrate | be % | flag |
|---|---|---|---|
| SHII-0427 | oak / wheat 60-40 | — | humidity drift / day 6 |
| SHII-0414 | oak / wheat 60-40 | 94% | clean |
| SHII-0408 | oak / soy 70-30 | 61% | trichoderma / day 7 |
| SHII-0331 | oak / soy 70-30 | 58% | trichoderma / day 8 |
| SHII-0317 | oak / wheat 60-40 | 97% | clean |
Substrate composition correlates with contamination outcome. The 70-30 oak / soy ratio failed twice in the same window. The platform surfaces these patterns the next time a grow with the same recipe is opened.
Where the method comes from
Southwest Mushrooms is a real farm with a public following. Crowe Logic is that operating experience, made into software.
Working farm
Southwest Mushrooms has run commercial cultivation for more than twenty years. The platform encodes how that farm actually decides: what to flag, when to contain, and what a clean batch should look like.
Taught in public
Years of grow-room footage and walkthroughs from the Southwest Mushrooms channel are the source material indexed behind the interface. The method is documented, watched, and now operable.
Owned data loop
AI is now standard across cultivation tools. What stays proprietary is a continuous batch-by-batch record tied to real outcomes, plus MGAP food-safety compliance built on commercial practice.
Every grower starts ahead because the record already reflects how a working farm succeeds and fails. New batches sharpen it.
See the farm and the book
Book-backed system
Chapters, cultivation media, field observations, and facility records become a single reference loop. Read the protocol, watch the operation, record the next batch, then compare the outcome.