Crop Yield Prediction Kit with Arduino Mega & DHT22 Sensors
Predict Crop Yields with Arduino Mega, DHT22 & Soil Sensors - Multi-Variable Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You'll assemble a multi-sensor data logger that captures temperature, humidity, soil moisture, and light levels every hour for four full weeks, then apply linear regression to predict crop yield from the collected CSV. This project mirrors the precision agriculture tools used by Indian agri-tech startups, turning raw environmental data into actionable harvest forecasts.
What You'll Build
A self-contained weather station that records readings onto a microSD card, displays live values on an OLED, and timestamps every log entry with a real-time clock. After the logging period, you'll export the dataset and run a regression model in Python or Excel to estimate expected yield - exactly the kind of prototype showcased at Smart India Hackathon agriculture tracks and final-year B.Tech demos.
What You'll Learn
- Interfacing multiple I2C and analog sensors on an Arduino Mega simultaneously without pin conflicts
- Configuring a DS3231 RTC for accurate timestamps across weeks of continuous logging
- Writing to and reading from a microSD card using SPI, managing large CSV files
- Performing linear regression modelling on real environmental datasets to predict outcomes
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Mega 2560 | 1 |
| DHT22 | 2 |
| Soil Moisture Sensor | 3 |
| BH1750 | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| 4.7k? Resistors | 10 |
| 10k? Resistors | 10 |
| 100nF Capacitors | 15 |
| PCB Prototype Board | 2 |
| 9V Battery Snap | 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
This kit is built for B.Tech ECE, EEE, and Agri-Engineering students who need a real-world data logging project for their final year, Smart India Hackathon, or an IEEE research paper. It's also ideal for advanced electronics hobbyists and ATL lab mentors guiding students through sensor integration, data science, and predictive modelling. Prior soldering and Arduino experience is required - you'll assemble circuits on a PCB prototype board and manage multi-library Arduino sketches.
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 build companion, accessed via QR code, provides step-by-step assistance, and you can reach out on WhatsApp for human support if a sensor isn't responding.
Can I use this kit for a college semester project or hackathon?
Absolutely. The 4-week logging requirement and regression modelling component make it ideal for academic presentations, Smart India Hackathon under the agriculture track, and IEEE project submissions.
Do I need prior soldering or Arduino experience?
Yes, this kit involves assembling circuits on a PCB prototype board, soldering components, and programming an Arduino Mega with multiple libraries. Familiarity with breadboarding and basic C++ is expected.
Does the kit include the regression modelling software?
The kit provides a CSV data format and a guide to perform linear regression using Python (with sample code) or Excel. No licensed software is required; the analysis is done on your PC.
Temperature, humidity, soil, light logged daily for 4 weeks. 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.
Other projects you can build
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