Home Houseplant Monitor Kit v9: AI IoT Growth System for Raspberry Pi
Indoor Houseplant Monitor Kit v9
In Stock

Houseplant Monitor Kit v9: AI IoT Growth System for Raspberry Pi

SKU: CDN-KIT-4044 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 32,700.00
Inclusive of all taxes
Free Shipping on prepaid orders above ₹999
Ships in 1-5 days
7-Day Warranty on manufacturing defects
Need 10+ units? Contact us for bulk pricing
100% Genuine Products
Expert Technical Support
Quality Tested
Soldr.ai Ask about this product

Houseplant Monitor Kit v9: AI IoT Growth System with Raspberry Pi 5

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Intermediate Build Time: 6-8 hrs Age: 15-21 Skill: Computer Vision & Reinforcement Learning

Your houseplants thrive when you're away, and you can prove it with time-lapse growth data. This kit transforms a Raspberry Pi 5 into an autonomous plant care system that sees growth with a camera, adjusts humidity and soil moisture, and learns the perfect environment over weeks using reinforcement learning. Perfect for CBSE IoT projects, engineering capstones, or the curious maker who wants to blend AI with real-world biology.

What You'll Build

You'll assemble a complete environmental control hub that captures daily images of your plant, measures temperature, humidity, soil moisture, and CO2, and drives relays to activate fans, pumps, or lights. The onboard AI trains a reinforcement learning model that observes your plant's response to changes and gradually tunes temperature and watering setpoints to maximize healthy leaf area. Over a month, you'll watch the system self-optimize-a true edge AI project.

What You'll Learn

  • Deploying computer vision on Raspberry Pi to track plant growth via OpenCV
  • Integrating multiple I2C and digital sensors (DHT22, capacitive soil moisture, NDIR CO2) into a unified data pipeline
  • Implementing reinforcement learning (Q-learning or policy gradients) to dynamically adjust environmental setpoints
  • Storing high-resolution growth images and sensor logs on an NVMe SSD for long-term analysis

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

Designed for intermediate makers aged 15-21-ideal for CBSE Class 11-12 AI elective students, B.Tech ECE/EEE final-year projects, Smart India Hackathon teams, or ATL Tinkering Lab innovators. If you've used a Raspberry Pi for basic tasks and now want to combine computer vision, real sensor data, and machine learning on a single board, this kit is your launchpad.

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?

Our AI companion, accessible via QR code, guides you through wiring, coding, and model training with step-by-step instructions. And if you need a human hand, reach out on WhatsApp for real-time help.

Do I need prior machine learning experience?

No. The kit includes pre-trained starter models and a guided notebook that walks you through training a custom reinforcement learning agent. You'll learn as you build.

Can I monitor my plants remotely?

Yes. The system hosts a local web dashboard and can be configured to send Telegram alerts. With port forwarding or a service like ngrok, you can check in from your phone anywhere.

How long until the system learns optimal settings?

Depending on your plant and environment, the reinforcement learning agent typically converges to stable setpoints within 2-4 weeks of continuous operation. You'll see growth improvements captured in daily camera snapshots.

Houseplant - 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

View complete shipping policy →

View complete returns policy →