ESP32-S3 Greenhouse Climate Monitor Kit - On-Device Neural Training
ESP32-S3 Greenhouse Climate Monitor Pro Kit - Train a Neural Network on Live Sensor Data in Under 60 Seconds
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit moves beyond simple data logging. You'll construct a compact greenhouse monitor that reads temperature, humidity, and motion, then uses the ESP32-S3's SRAM to perform custom matrix multiplication and train a miniature neural network on the sensor stream. In less than a minute, the model adapts to shifting microclimate patterns and displays inference results on the OLED - no cloud, no laptop.
What You'll Build
You assemble a self-contained climate station inside an ABS enclosure. The ESP32-S3 dev board fuses DHT22 temperature/humidity readings with MPU6050 accelerometer data, timestamps everything via the DS3231 RTC, and logs to microSD. The real project runs deeper: your firmware implements optimized matrix operations entirely in SRAM, pushing the chip to train a tiny neural network that predicts temperature drift or detects greenhouse anomalies. The entire training cycle completes within 60 seconds and updates the OLED display with live model outputs.
What You'll Learn
- Implementing custom matrix multiplication routines in ESP32-S3 SRAM for edge ML
- Training a tiny neural network on live sensor data - from data preparation to inference - in under 60 seconds
- Fusing accelerometer and environmental sensor readings for predictive modeling
- Managing real-time clock, SD card logging, and OLED display integration on a single microcontroller
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| DHT22 | 1 |
| 0.96in OLED | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 4.7k? Resistors | 5 |
| 100nF Caps | 5 |
| PCB Prototype Board | 2 |
| ABS Enclosure Box | 1 |
| Micro USB Cable | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
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 | Scattered GitHub repos and forums | AI companion trained on this exact project |
| Time to first working build | Days of debugging and data format mismatches | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers across different platforms | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
B.Tech ECE and EEE students building mini projects with TinyML, IoT enthusiasts who have already worked with Arduino or ESP32 and want to apply machine learning at the edge, and teams preparing for Smart India Hackathon agriculture challenges. It's equally suited for final-year engineering projects at IITs, NITs, and VIT where on-device AI needs a reproducible, documented hardware base.
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?
Scan the QR code on the box to launch the AI companion trained step-by-step on this kit. You can also reach our team on WhatsApp for direct troubleshooting.
Do I need prior machine learning knowledge?
Some familiarity with matrix operations and C++ is helpful, but the AI companion explains every neural network concept as you go. The code templates are ready to flash, and you'll understand each layer by the end.
Can this kit be used outdoors in a real greenhouse?
The ABS enclosure provides basic protection from humidity and dust. For long-term outdoor deployment, we recommend applying a conformal coating to the PCB after assembly.
What programming environment is required?
Arduino IDE or PlatformIO with ESP32 board definitions. The AI companion walks you through library installation and upload settings specific to this project.
Greenhouse - ESP32-S3 runs custom matrix multiplication in SRAM. Trains a small NN on sensor data in under 60 seconds.
What's in this kit
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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