The Silicon Shroom technology-driven organic mushroom farm Bengaluru

The Intelligence Behind the Farm

Software engineers
who actually
grow mushrooms.

We instrument every variable, log every batch, and iterate on the farm the way we would on a software system. The result is cleaner mushrooms, fewer losses, and a data moat no competitor can replicate.

90%+

CV accuracy target

contamination detected before visible to human eye

3–8%

our contamination target

vs 15–25% industry average loss per cycle

48h

earlier detection

catching contamination before it spreads to adjacent bags

200

bags per cycle

every one monitored by sensors and camera zones

The Unfair Advantage

We build the tools.
We feel the problems.
Same day. Same room.

Most agritech companies are either agricultural operations that bolt on technology, or technology companies that have never grown anything. We are technology people operating the farm.

When a humidity spike causes early pinning, we see it in the IoT dashboard before the physical bags show any change. When a contamination alert fires, we can trace it to the substrate lot within seconds. The gap between observation and action — which costs most farms days — costs us minutes.

Traditional farm

Visual inspection once per day. Contamination spotted at advanced stage. Manual paper logs. No P&L per batch.

Sensor-only agritech

Climate data collected but not connected to batch records. No CV. No farm-specific workflows. No real-time alerts.

The Silicon Shroom

CV alerts connected to batch records. IoT readings in the same timeline as contamination events. Per-batch P&L from day one.

Layer 1

Computer Vision
Contamination Detection

Catching Trichoderma and bacterial blotch 48 hours before it's visible to the human eye — before it can sporulate and destroy adjacent bags.

01

Continuous Camera Coverage

ESP32-CAM modules are mounted at fixed angles across every grow zone. Images are captured at regular intervals through the full colonisation and fruiting cycle — day and night.

02

Edge Inference on the Device

A Raspberry Pi edge device runs the inference model locally — no cloud dependency, no latency. Each frame is scored for signs of Trichoderma (green mould), bacterial blotch, and substrate degradation.

03

Alert Before Spread

When a bag crosses the contamination confidence threshold, an alert fires immediately. The contaminated bag is isolated before the mould can sporulate and spread to adjacent bags.

04

Continuous Model Improvement

Every flagged image — confirmed or false positive — is added to the training dataset. Each grow cycle the model gets more accurate. Data from our own farm, on Indian mushroom contamination, is the moat.

05

Batch-Level Correlation

Every CV alert is linked to its batch record in the Farm OS — spawn source, substrate lot, inoculation date, environmental readings at time of detection. Root cause analysis in one view.

Hardware

ESP32-CAM

Image capture

WiFi-native, <₹400/unit, mounts at fixed angles per grow zone

Raspberry Pi

Edge inference

Runs the CV model locally — no cloud dependency, real-time scoring

USB Camera

High-res zones

Higher resolution capture for critical contamination-prone areas

Layer 2

IoT Environmental
Sensor Network

Oyster mushrooms are precise in their requirements. A 3°C temperature deviation or a drop below 85% humidity is the difference between a clean flush and a contaminated batch. We measure everything.

Temperature

DHT22 / SHT31 per zone

Target Range

24–28°C

Humidity

DHT22 / SHT31 per zone

Target Range

85–95% RH

CO₂ Levels

MH-Z19 NDIR sensor

Target Range

<1,200 ppm fruiting

Light Cycle

Digital light sensor

Target Range

12h / 12h cycle

ESP32-based mesh network.
Under ₹3,000 per grow-room bay.

Each ESP32 node reads temperature, humidity, and CO₂ and pushes readings over WiFi to the Farm OS every few minutes. No proprietary hardware, no vendor lock-in. Every component is replaceable from any Indian electronics supplier.

MicrocontrollerESP32 (WiFi-native, <₹300/unit)
Temp & HumidityDHT22 / SHT31 — ±0.3°C accuracy
CO₂MH-Z19 NDIR — 400–5,000 ppm range
Data pushEvery 5 minutes to Farm OS

Layer 3

The Farm OS

A farm management system built specifically for how a mushroom farm actually runs — not adapted from a generic ERP. From spawn inoculation to per-batch profit, everything in one place.

Batch Tracking

Every bag is logged from spawn inoculation through harvest — substrate lot, spawn source, dates, weights, yield.

Pin Formation & Harvest Timing

Track the moment primordia (pins) appear and predict optimal harvest windows based on historical batch data from the same substrate source.

Per-Batch P&L

Real substrate cost vs actual yield per batch — not averaged across the grow room. Know exactly which substrate lot is most profitable.

CV Alert Feed

All contamination alerts surface directly in the batch record. No switching between systems — the full history of a bag is in one place.

Live Environmental Dashboard

IoT sensor readings stream into the batch timeline. If a temperature spike preceded contamination, you see it immediately.

Image Archive

Every camera frame tied to its batch. From a single row in the P&L, trace back to the exact images from that period.

What a spreadsheet can't do

Three things that change the moment you connect IoT to batch records.

1

Sensor readings are automatically written to the batch record — no manual data entry, no human error.

2

A contamination alert instantly links to the batch it came from, showing the environmental readings at that exact moment.

3

Per-batch P&L accounts for actual substrate cost and actual yield — not averages across the grow room.

The Full Picture

Three layers.
One farm. Every batch.

Layer 1

Computer Vision

ESP32-CAM modules watch every grow zone. Contamination detected 48h before human inspection would catch it.

Alerts → Batch record

Layer 2

IoT Sensors

ESP32 mesh monitors temperature, humidity, CO₂ across every bay, every few minutes, 24/7.

Readings → Batch timeline

Layer 3

Farm OS

The intelligence layer — correlates CV alerts with sensor spikes with batch records to surface root causes.

Data → Decisions

The data generated on our own farm — real Indian mushroom contamination images, real batch-level P&L, real environmental correlations — is the asset no competitor can fast-follow. It only exists because we are actually growing.

Fresh organic gray oyster mushrooms from The Silicon Shroom Bengaluru

The proof is in the mushroom.

The Result

Cleaner mushrooms.
Every single batch.

The technology exists to make the mushrooms better. Order from The Silicon Shroom and taste the difference that data-driven farming makes.