Greenhouse Soil Manager Kit with ESP32 + Sensor
ESP32-S3 Greenhouse Soil Manager Kit — Predict Tomorrow’s Watering with 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.
Bring data-driven agriculture to your school greenhouse, botany lab, or even a windowsill planter. This kit turns an ESP32-S3 into a smart soil manager that reads moisture and temperature every hour, stores the data, and then runs an on‑device linear regression model to forecast exactly how much to water tomorrow. It’s a complete, beginner‑friendly introduction to IoT and machine learning — no cloud, no subscription, just pure embedded intelligence.
What You'll Build
You’ll assemble a compact monitoring station that continuously samples two soil moisture sensors and a waterproof DS18B20 temperature probe. The ESP32-S3 trains a simple linear regression on the last 24 hours of data, then predicts the next day’s irrigation demand. All readings and the prediction appear on the crisp 0.96” OLED display. The system stays fully offline — perfect for remote farms, science fairs, or CBSE Class 12 investigatory submissions.
What You'll Learn
- Interface capacitive soil moisture sensors and a DS18B20 waterproof temperature probe with the ESP32-S3
- Collect time‑series sensor data and store it in memory for on‑device analysis
- Implement linear regression from scratch on a microcontroller to predict tomorrow’s watering need
- Render real‑time readings and predictions on a 0.96‑inch OLED without needing a computer or internet
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| Soil Moisture Sensor | 2 |
| DS18B20 Waterproof | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 10kΩ Resistors | 5 |
| 100nF Caps | 5 |
| 400-pt Breadboard | 1 |
| M-M Wires | 20 |
| Micro USB Cable | 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 | 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 designed for CBSE Class 11‑12 students tackling agriculture or AI‑based investigatory projects, first‑year B.Tech ECE/EEE learners who want a hands‑on introduction to IoT and machine learning, and ATL Tinkering Lab teams prototyping for the Smart India Hackathon. It bridges the gap between textbook linear regression and a real, working greenhouse controller, even if you have never coded before.
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 in the box to chat with your dedicated AI companion. If you prefer a human reply, our team will answer your WhatsApp message within a few hours, with step‑by‑step guidance.
Is any programming experience required?
No. The included code is explained line‑by‑line, and the AI companion can help you modify it. You’ll learn everything from GPIO pin assignment to storing arrays for regression — all at a beginner pace.
Can this kit be used for a CBSE Class 12 investigatory project?
Absolutely. The entire build is offline, logs data over 24 hours, and demonstrates real‑world application of linear regression — directly aligning with CBSE Physics and Computer Science project requirements.
Does the prediction work without Wi‑Fi or internet?
Yes. The ESP32‑S3 stores the last 24 hourly readings in RAM and computes the regression locally. The OLED shows both current data and the predicted watering need without any network connection.
Greenhouse — Soil moisture + temperature sampled every hour. ESP32-S3 linear regression predicts next-day watering need.
What's in this kit
Other projects you can build
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