Greenhouse Climate Monitor Kit v18
Greenhouse Climate Monitor Kit v18 – Predict Rain Using ESP32 and On-Device AI
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
What you’ll create: a greenhouse climate monitor that predicts rain probability by feeding BMP280 pressure trends and DHT22 humidity patterns into a TensorFlow Lite classifier on an ESP32. Perfect for students exploring AI at the edge, this kit turns environmental data into actionable insights for a greenhouse.
What You'll Build
You’ll assemble a compact monitoring station that displays real-time temperature, humidity, light, and pressure on an OLED screen. The ESP32 runs a machine learning model that, over time, learns to predict rain probability based on changing atmospheric patterns. It’s a hands-on introduction to edge AI and IoT.
What You'll Learn
- Training and deploying a TensorFlow Lite model on an ESP32 for edge inference
- Integrating multiple I2C sensors (BMP280, DHT22, BH1750) and reading environmental data
- Visualizing sensor data and predictions on an OLED display
- Understanding how pressure trends and humidity levels correlate with rain patterns
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| BMP280 | 1 |
| DHT22 | 1 |
| BH1750 Light Sensor | 1 |
| 0.96in OLED | 1 |
| MicroUSB Cable | 1 |
| M-M Wires | 15 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is ideal for CBSE Class 11-12 students exploring AI and IoT projects, first-year B.Tech ECE/EEE learners, and ATL Tinkering Lab participants. It fits curriculum needs for environmental monitoring and edge machine learning, making it a strong project for Smart India Hackathon submissions or IIT/NIT entrance portfolios.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
The AI companion walks you through every step, from wiring to code upload. If you still need help, WhatsApp our support team directly for a prompt reply.
Do I need prior machine learning experience?
No. The kit includes a pre-trained TensorFlow Lite model and a guide that explains how to load it onto the ESP32. The companion helps you understand the basics.
Can this kit accurately predict rain?
It’s a learning tool that demonstrates how pressure and humidity trends correlate with rain. Accuracy depends on local conditions and the data you collect. The companion assists with training data collection.
What software do I need?
You’ll use the Arduino IDE and the TFLite Micro library. The companion provides setup instructions and the model file.
Greenhouse — BMP280 pressure trend and DHT22 humidity pattern feed a TFLite classifier on ESP32 predicting rain probability.
What's in this kit
- ESP32 Dev Board
- BMP280
- DHT22
- BH1750 Light Sensor
- 0.96in OLED
- MicroUSB Cable
- M-M Wires x15
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items