Crop Leaf Disease Image Classifier Kit with ESP32 + Camera
Crop Leaf Disease Classifier Kit with ESP32 + Camera — Edge AI for Agricultural Fields
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a farmer holding a leaf under a camera and getting an instant diagnosis — no internet, no lab. With this kit, you'll build exactly that: a solar-powered, field-ready device that uses a pre-trained TensorFlow Lite model running on an ESP32-S3 to classify healthy and disease-stricken leaves across five common crop ailments.
What You'll Build
You'll assemble a weatherproof, standalone unit that captures leaf images with the OV2640, timestamps them with the DS3231 RTC, stores results on a microSD card, and displays the disease classification on an OLED screen. The entire system runs off two 18650 cells recharged by a 6W solar panel, making it truly independent of grid power.
What You'll Learn
- Deploying a pre-trained TFLite MobileNetV1 model on ESP32-S3 for real-time inference
- Integrating camera modules (OV2640) with microcontrollers and configuring image capture
- Designing a solar-powered, battery-backed power management system using TP4056 and LM2596
- Storing and timestamping inference data on a microSD card via SPI for offline analysis
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| OV2640 Camera Module | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| Solar Panel 6V 2W | 1 |
| TP4056 Module | 1 |
| 18650 Cell | 2 |
| LM2596 Buck Converter | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| Waterproof Enclosure | 1 |
| Soldering Iron | 1 |
| Solder Wire | 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
B.Tech ECE and EEE students building final-year or mini projects will find this kit a complete edge AI solution. Smart India Hackathon participants and agritech innovators can rapidly prototype a field-ready disease detector. Advanced learners at IIT, NIT, VIT, or BITS Pilani exploring TensorFlow Lite on microcontrollers, as well as ATL mentors demonstrating AI in agriculture, will appreciate the end-to-end integration.
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, trained on this specific kit, provides immediate troubleshooting via QR code. You can also reach us on WhatsApp for direct support from our team.
Do I need prior experience with machine learning or TensorFlow?
No. The TFLite model is pre-trained and provided; we guide you through flashing and integration, so you can focus on hardware assembly and deployment.
Can I train the model to detect different crops or diseases?
Yes, the kit gives you a foundation; the AI companion includes resources on how to retrain with your own dataset using TensorFlow and convert to TFLite for ESP32.
Is the kit suitable for use in actual farm fields?
Absolutely. The waterproof enclosure, solar charging, and off-grid operation are designed for field trials, making it an ideal proof-of-concept for agricultural IoT deployments.
OV2640 captures leaf image. TFLite MobileNetV1 model classifies healthy vs 5 disease types at field node.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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