Pi 5 Smart Greenhouse AI Controller
Raspberry Pi 5 Smart Greenhouse AI Controller Kit – Computer Vision & Reinforcement Learning
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 transforms a Raspberry Pi 5 into an autonomous greenhouse brain. A camera watches leaf area and stem elongation while DHT22 and soil sensors feed temperature, humidity, and moisture data. Over weeks, onboard reinforcement learning algorithms gradually adjust ventilation, irrigation, and CO2 setpoints to maximize growth rate—no human tuning required.
What You'll Build
You'll build a fully functional smart greenhouse controller that photographs your plants daily, logs environmental data, and autonomously decides when to turn on fans, water pumps, or a CO2 generator via three relay channels. All data streams to a local dashboard running on the Pi 5, with optional cloud upload for remote monitoring.
What You'll Learn
- Train a reinforcement learning model that tunes setpoints using real sensor feedback
- Process daily plant images with the Pi Camera Module 3 to measure growth rate
- Interface DHT22, MH-Z19, and capacitive soil moisture sensors with Raspberry Pi GPIO
- Implement a multi-relay control system to manage fans, irrigation, and CO2 enrichment
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| DHT22 | 2 |
| Soil Moisture Sensor | 2 |
| CO2 Sensor MH-Z19 | 1 |
| 5V Relay Module | 3 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires (25-pack) | 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 ideal for CBSE Class 11-12 students exploring AI and IoT for their investigatory projects, B.Tech ECE and CSE undergraduates building Smart India Hackathon prototypes, and ATL Tinkering Lab mentors who want a real-world reinforcement learning demonstration. It also suits IIT, NIT, VIT, and BITS students working on precision agriculture research.
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.
Computer vision monitors plant growth while sensors control environment — reinforcement learning tunes setpoints over weeks.
What's in this kit
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