Hydroponics Nutrient Monitor Kit v8
Build an AI-Optimized Hydroponics System with Raspberry Pi and Computer Vision
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Grow smarter with an automated hydroponics system that uses a Raspberry Pi camera to track plant growth in real time, while sensors monitor temperature, humidity, soil moisture, and CO2. Over weeks, a reinforcement learning algorithm running on the Pi tunes relay-controlled pumps and fans to maximize yield—just like the projects powering Smart India Hackathon teams and final-year B.Tech submissions.
What You'll Build
You'll assemble a full-stack AI IoT system that watches your plants with computer vision, logs environmental data to an onboard NVMe SSD, and autonomously adjusts climate and irrigation using relay-controlled actuators. By the end, you'll have a working prototype of a self-learning grow controller that adapts to its environment—perfect for demonstrating AI-driven agriculture in college labs or hackathons.
What You'll Learn
- Train a computer vision model with the Pi Camera to detect leaf health and growth stages.
- Integrate DHT22 and CO2 sensors and log time-series data to an NVMe SSD.
- Deploy a reinforcement learning agent that adjusts irrigation and ventilation setpoints based on plant feedback.
- Design an actuator control system using 5V relays to drive pumps, fans, and lights.
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 |
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
Whether you're a CBSE Class 12 student preparing a computer science project, a B.Tech ECE undergrad building for Smart India Hackathon, or an ATL Tinkering Lab mentor looking for an advanced AI-IoT demonstration, this kit delivers a college-ready prototype. It bridges the gap between textbook theory and real-world reinforcement learning in agriculture—ideal for final-year engineering projects and research prototypes at IIT, NIT, VIT, or BITS campuses.
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?
You can scan the QR code on the box to access the AI build companion trained specifically on this kit, or reach out on WhatsApp for human support—we usually respond within an hour.
Do I need prior ML or reinforcement learning experience?
No. The AI companion walks you through training a simple RL model on the Pi; basic Python familiarity is helpful but not required.
Can I use this kit for soil-based farming?
Yes—the soil moisture sensors and climate controls work equally well in soil. You only need to adjust the irrigation logic for drip or flood systems.
What crops can I monitor initially?
The included computer vision model is pre-trained on leafy greens like lettuce and basil, but you can easily extend it by capturing your own plant images for transfer learning.
Hydroponics — 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