Pi 5 Plant Disease Detection Kit
Raspberry Pi 5 Plant Disease Detection Kit – Identify Crop Diseases Instantly with Edge 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.
In agriculture, 20–40% of crop losses stem from undetected plant diseases. This kit turns a Raspberry Pi 5 into a smart leaf scanner that spots early symptoms right on the plant — no cloud needed. Whether you're preparing for a hackathon, building a college project, or prototyping an IoT-enabled farm tool, you'll train a TensorFlow Lite model on the PlantVillage dataset and deploy it locally to classify common diseases in real time.
What You'll Build
A standalone camera unit that captures leaf images with the Pi Camera Module 3, runs a quantized TFLite model to identify diseases like early blight, powdery mildew, or rust, and displays the result on a compact OLED screen. The entire inference happens on-device, so fields with no internet remain covered.
What You'll Learn
- Quantize a deep learning model for low-power edge devices using TensorFlow Lite
- Capture high-resolution leaf images with the Pi Camera Module 3 and preprocess them for inference
- Deploy and benchmark an image classifier on Raspberry Pi 5 with NVMe storage for fast model loading
- Display classification results on a 0.96-inch OLED screen without blocking the inference pipeline
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| 0.96in OLED | 1 |
| USB-C PSU | 1 |
| M-M Wires | 10 |
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 students and makers who have basic Python and Raspberry Pi experience and want to move from tutorials to real-world computer vision applications. It is particularly suited for CBSE Class 11–12 students working on ATL innovation projects, B.Tech ECE/EEE undergraduates preparing for Smart India Hackathon or campus hackathons, and MTech/PhD researchers prototyping low-cost edge AI sensors for precision agriculture.
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 code on the box to open the AI companion, which guides you step by step. You can also send photos and questions via WhatsApp for real-time troubleshooting from our team.
Do I need an active internet connection for the classifier to work?
No. The TFLite model runs entirely on the Raspberry Pi 5. Once you load the model and capture an image, inference happens offline, making it ideal for remote agricultural fields.
Can I train the kit to detect different plant diseases or crops?
The kit ships with a base model trained on the PlantVillage dataset, but you can retrain it with custom images. The AI companion includes guidance on expanding the dataset and fine-tuning using TensorFlow Lite Model Maker.
How does this kit compare to cloud-based solutions for my college project?
Cloud-based disease classifiers require uploading field images and paying for API calls. This kit processes everything on-device, giving you zero latency, offline reliability, and full control over the pipeline — a key differentiator for Smart India Hackathon demos and B.Tech capstone projects.
TFLite plant disease classifier trained on PlantVillage dataset identifies leaf diseases from Pi camera images.
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