AI Crop Yield Predictor Node Kit with ESP32 + DHT22
Build an AI-Driven Crop Yield Predictor with ESP32, DHT22 & TensorFlow Lite
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
For agronomists, agricultural engineers, and precision farming innovators, this kit delivers a field-deployable edge AI node. It samples temperature, humidity, soil moisture (three depths), and ambient light daily, then runs a TensorFlow Lite regression model on an ESP32 to predict crop yield. Power it with solar and log time-stamped data to a MicroSD card — creating a standalone decision-support tool for real farm conditions.
What You'll Build
A fully solar-powered, weatherproof sensor node that captures multi-depth soil moisture readings, dual-point temperature/humidity data, and light intensity. The ESP32 stores all measurements on a MicroSD card with DS3231 RTC timestamps and displays live sensor values on a 0.96-inch OLED. After data collection, the onboard TensorFlow Lite model processes the inputs and predicts expected yield right at the edge, without cloud connectivity.
What You'll Learn
- Deploy a TensorFlow Lite quantized regression model on an ESP32 microcontroller
- Interface multiple I2C sensors (DHT22, BH1750, OLED, RTC) and analog soil moisture probes
- Design solar charging circuits with TP4056 and 18650 Li-ion cells for continuous outdoor operation
- Solder components on a prototyping PCB and enclose the node in a waterproof IP65-rated box
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| DHT22 | 2 |
| BH1750 | 1 |
| Soil Moisture Sensor | 3 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| Waterproof Enclosure | 1 |
| Solar Panel 6V 2W | 1 |
| TP4056 Module | 1 |
| 18650 Cell | 2 |
| 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
Agri-tech startup founders building IoT-based farm analytics platforms, B.Tech Agricultural Engineering students at ICAR institutes validating smart farming prototypes, participants in Smart India Hackathon agriculture tracks, and researchers at IARI or state agricultural universities prototyping on-device AI for yield estimation will find this kit accelerates their work from idea to field deployment.
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 chat with the AI build companion trained specifically for this crop yield predictor node. You can also reach our engineers on WhatsApp for extra assistance during assembly or coding.
Do I need prior experience with TensorFlow Lite?
Some familiarity with Python and Arduino IDE helps, but the AI companion will guide you through model conversion, quantization, and deployment on the ESP32 step by step.
Will this work outdoors in monsoon conditions?
Yes. The kit includes a waterproof IP65 enclosure and all connectors for sealing sensor cable entry points. The solar panel and batteries are designed for continuous outdoor use in Indian weather.
Can I connect multiple nodes to a central dashboard?
The node logs all data to a MicroSD card. You can later retrieve it and use any cloud platform for aggregation; the AI companion includes an optional guide for MQTT integration if you want to add Wi‑Fi-based telemetry.
ESP32 samples temperature, humidity, soil moisture and light daily. TensorFlow Lite regression model predicts yield.
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.
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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