Commercial Mushroom Farms

Smart Mushroom Farming Monitoring & Automation

IoT-enabled precision mushroom cultivation platform combining environmental monitoring, automation, AI vision, and cloud analytics.

Overview

IoT-enabled precision mushroom cultivation platform combining environmental monitoring, automation, AI vision, and cloud analytics.

Commercial Mushroom Farms
Research Labs
Smart Agriculture

Problem Statement

Mushroom cultivation is highly sensitive to ambient and compost conditions. Manual monitoring of temperature, humidity, compost pH and moisture is labour-intensive, inconsistent, and reactive rather than predictive, leading to yield loss and disease outbreaks.

Challenges

Maintaining tight environmental tolerances across multiple grow rooms
Detecting early signs of fungal infection before visible spread
Reducing manual labour for fan and humidifier adjustments
Aggregating sensor and visual data into actionable insights

Solution

A network of WiFi-enabled sensor nodes continuously streams ambient and compost readings to a local edge server, which synchronises to the cloud. Automated fan and humidifier control maintains optimal conditions, with manual override for growers. An AI vision pipeline analyses camera feeds for growth estimation and disease detection, surfacing alerts before issues spread.

Technology Stack

Node.js
NestJS
PostgreSQL
Next.js Dashboard
AI Image Processing
MQTT
REST APIs

Hardware Used

ESP32
Industrial Sensors
Camera Module
Relays
WiFi Gateway

Software Stack

NestJS backend services
PostgreSQL time-series storage
Next.js operator dashboard
MQTT broker

Communication Protocols

MQTT
REST APIs
WiFi

Sensor Details

Ambient temperature and relative humidity sensors per room, compost-probe sensors for temperature, moisture and pH, all reporting over WiFi to the edge gateway at configurable intervals.

Automation Logic

Threshold and setpoint-based control loops drive fan and humidifier relays to keep ambient and compost readings within crop-specific bands, with manual override available from the dashboard at any time.

AI Features

AI image analysis
Mushroom growth estimation
Disease detection
Fungal infection detection
Historical analytics

Benefits

Reduced manual monitoring labour
Earlier detection of disease and fungal infection
Consistent environmental conditions across grow rooms
Data-driven yield improvement over multiple grow cycles

Future Scope

Expansion to multi-site fleet management, predictive yield modelling, and integration with cold storage and logistics for farm-to-market traceability.