Wildlife Camera Trap Kit v27
Wildlife Camera Trap Kit v27 – Crop Stress Detection with Raspberry Pi 5 NoIR
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Detect crop stress and chlorophyll deficits before they cost yield. This kit turns a Raspberry Pi 5 and a NoIR camera into a portable NDVI-like analysis tool — the same principle agronomists use, now running on edge AI hardware you build yourself. From a paddy field to a polyhouse, you can capture near-infrared reflectance in visible light, compute a plant health index, and flag stressed patches in real time.
What You'll Build
You’ll assemble a self-contained field unit that captures NoIR images, stores them on a 128 GB NVMe drive, and runs Python-based NDVI computation right on the Pi 5. The result is a vegetation index heat map overlaid on the original photo — essentially a smartphone-free crop health scanner that works offline in remote fields.
What You'll Learn
- Compute NDVI from a Raspberry Pi NoIR camera feed using Python and OpenCV
- Configure the Pi 5 M.2 HAT+ and NVMe SSD for high-speed image storage
- Deploy edge AI inference pipelines without cloud dependency
- Interpret near-infrared reflectance data to assess chlorophyll levels and plant stress
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 NoIR | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 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
CBSE Class 12 students building computer vision portfolios, B.Tech ECE/EEE students prototyping precision agriculture IoT devices, Smart India Hackathon teams racing to deliver smart farming proofs of concept, ATL tinkering labs exploring spectral imaging, and researchers at agricultural universities who need a portable NDVI unit for field trials.
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?
Your AI companion steps you through each connection and block of code; if that’s not enough, WhatsApp us directly — a real person who has built this kit will reply within a few hours.
Does the kit include the NDVI analysis software?
The AI companion guides you through installing all required libraries and a pre-written Python script that extracts the near-infrared channel and computes a vegetation index from the NoIR camera feed.
Can I use this to detect crop stress on my actual farm?
Yes. With some on-site calibration (we show you how), you can walk a plot, collect images, and generate stress maps that highlight chlorophyll deficits indicative of nutrient or water issues.
What prior experience is required?
Basic familiarity with a Raspberry Pi and Python will help, but the AI companion breaks every step into clear instructions. Complete beginners have finished builds in a single weekend.
Wildlife — NDVI-like analysis on Pi 5 from NoIR camera images detects crop stress and chlorophyll deficit — smart agriculture AI.
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