MycoFarm connects directly to your sensors and controls — not on top of them. From raw IoT signals to automated harvest decisions, here's exactly how it works.
System overview
MycoFarm connects directly to your sensors and environmental controls — not on top of them. Our engine reads from your IoT devices, HVAC controllers, and substrate logs without any data replication lag.
Connect temperature, humidity, CO₂, light, and weight sensors via native integrations with major IoT protocols — no custom hardware required.
Purpose-built models that understand mushroom biology, flush cycles, contamination vectors, and species-specific thresholds — not just generic sensor data.
Every anomaly triggers a configurable response: HVAC adjustment, grower notification, or harvest flag — with a full log of what changed and why.
Models adapt to your facility over time — refining baselines, seasonal patterns, and species tolerances as each flush cycle adds to the knowledge base.
Data pipeline
Every data point travels through four processing stages before it reaches a grower or triggers an automated response.
Temp, RH, CO₂, light, weight, camera
Protocol parsing, calibration, outlier filtering
Anomaly detection, yield forecast, species models
HVAC trigger, alert dispatch, audit trail
Phase breakdown
Select a phase to see how MycoFarm handles every step of the cultivation intelligence loop.
MycoFarm supports over 80 sensor models and IoT protocols out of the box. Devices are discovered automatically on your local network, calibrated against known baselines, and begin streaming within minutes of installation. No custom firmware or hardware bridges required.
MQTT, Modbus RTU/TCP, BACnet, Z-Wave, Zigbee, OPC-UA, and direct REST/webhook APIs from major sensor manufacturers.
Temperature, relative humidity, CO₂, VPD, PAR light, substrate weight, airflow velocity, and IP camera streams for computer vision.
Standard paths poll every 60 seconds. Critical paths — contamination cameras and temperature runaway — operate at 5ms intervals with dedicated processing threads.
Raw sensor readings arrive in dozens of formats and units. The normalization layer parses each protocol, applies device-specific calibration offsets, filters electrical noise and dropout artifacts, and tags every reading with room ID, species profile, flush cycle number, and substrate batch — giving the AI layer full environmental context for every data point.
Automated drift correction runs weekly. Growers can trigger manual recalibration events that propagate corrections backward through the historical log.
Each reading is enriched with grow room, species, substrate recipe, inoculation date, and flush number — creating a fully contextualized time-series record.
All normalized data is stored on-premise in a compressed time-series database. Retention is configurable — typically two years at full resolution.
Purpose-built models trained on thousands of grow cycles run continuously against the normalized stream. Unlike generic anomaly detectors, MycoFarm's models understand mushroom biology: pin initiation signals, mycelium run phases, contamination precursors, and the environmental fingerprint of each species. Inference runs entirely on your local hardware — no cloud API calls required.
Environmental signatures and computer vision classify bacterial and fungal contamination 48–72 hours before visual symptoms — early enough to isolate affected blocks before spread.
Flush weight predictions combine sensor history, substrate composition, inoculation timing, and historical flush performance for each species and room combination.
Species-level thresholds refine automatically as your operation accumulates data. New rooms reach steady-state model accuracy within three to five flush cycles.
Every inference output triggers a configurable downstream action. Low-severity events update the dashboard and append to the audit log. Medium-severity events dispatch SMS, email, or app push notifications to the responsible grower. High-severity events — contamination risk, temperature runaway, or harvest window expiry — can directly trigger HVAC adjustments, irrigation changes, or equipment shutoffs via your existing control bus.
SMS, email, Slack, app push, and webhook endpoints. Escalation chains ensure critical alerts reach on-call staff even outside business hours.
Direct integration with BACnet and Modbus HVAC controllers lets MycoFarm adjust temperature, humidity, and CO₂ targets automatically within grower-defined safe ranges.
Every automated action is logged with timestamp, triggering inference, confidence score, and grower acknowledgement — HACCP and organic certification ready.
MycoFarm improves with every flush cycle. Outcome data — actual yields, contamination incidents, harvest quality ratings — feeds back into the model training loop automatically. Growers can label events directly in the dashboard, and those labels prioritize retraining on the cases that matter most to your operation. No manual model management required.
Harvest weight actuals, contamination confirmations, and grower-labeled alerts retrain species models on a rolling weekly cycle without service interruption.
All model versions are stored with performance metrics. Rollback to any prior version in one click if a retrain produces unexpected behaviour.
Seasonal environmental shifts, substrate recipe changes, and new strain introductions are detected and incorporated automatically without grower intervention.
Integrations
Inkbird, SensorPush, Govee, Aranet, and 60+ additional sensor brands with native drivers.
MQTT · Zigbee · BLEInkbird IHC-200, Johnson Controls, Honeywell, and any BACnet or Modbus-compatible controller.
BACnet · Modbus RTU/TCPIP cameras via RTSP/ONVIF. Plug in any PoE camera to enable contamination and pin-set detection.
ONVIF · RTSPCSV import, REST API, and direct database connectors for custom farm management and ERP software.
REST API · WebhooksSMS, email, Slack, PagerDuty, and custom webhooks. Configure per-room, per-species escalation chains.
Slack · SMS · WebhooksAutomatic HACCP log export in PDF and CSV. Pre-formatted templates for USDA Organic, Canada Organic, and EU Organic audits.
HACCP · Organic CertEmbedded web dashboard accessible on any device. REST API for building custom reports or integrating with existing business intelligence tools.
Web UI · REST APITime-series and relational data stored locally on your hardware. No cloud dependency — runs fully air-gapped if required.
Local · Air-gappedDeployment timeline
MycoFarm scans your local network, discovers compatible devices, and walks you through pairing any remaining sensors. Most farms complete sensor setup in under four hours with no external help required.
Configure each grow room with its dimensions, ventilation type, and active species. Pre-loaded cultivation profiles for oyster, shiitake, lion's mane, reishi, king trumpet, and nine other species populate baseline thresholds automatically.
Connect MycoFarm to your HVAC controllers via BACnet or Modbus. Define safe automation ranges — the system will only act within grower-approved bounds, and every automated adjustment is logged and reversible.
During the first 72 hours, MycoFarm establishes environmental baselines for each room. Alert thresholds are auto-suggested based on species profiles and can be refined by growers before going live.
MycoFarm is live. From this point, every flush cycle adds data to the model training loop, improving forecast accuracy and contamination detection precision with each successive harvest.
Get started
Join farms using MycoFarm to increase yields, reduce contamination losses, and run cleaner operations at any scale.