Harvest Ripeness Colour Detector Kit: Arduino Uno + TCS3200 Colour Sensor — Make Smart Harvesting Decisions

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 walking through an orchard with a pocket-sized device that tells you exactly which fruits are ready to pick. This kit puts that power in your hands. You'll assemble a reflectance-based ripeness detector using the TCS3200 colour sensor and an Arduino Uno, then watch an OLED display show a real-time ripeness score. It's a practical introduction to smart farming, designed for students, agri-tech enthusiasts, and anyone who wants to reduce post-harvest losses by picking at peak maturity.

What You'll Build

You'll construct a portable, battery-operated tool that shines white LEDs onto a fruit's skin, reads the reflected RGB light via the TCS3200 sensor, and compares those values against pre-calibrated thresholds for different ripeness stages. The result is a clear ripeness index and a plain-language recommendation like "Optimal – harvest now" or "Wait 3 days" on the OLED. The entire unit fits on a breadboard and runs on a 9V battery, ready for field testing in mango, banana, or tomato crops.

What You'll Learn

• How a TCS3200 colour sensor translates reflected light into frequency-based RGB values for non-destructive fruit analysis
• Calibrating sensor thresholds to classify ripeness stages (unripe, ripe, overripe) specifically for fruits like mangoes, bananas, and tomatoes
• Displaying dynamic sensor data and actionable ripeness advice on a 0.96-inch OLED screen using I2C communication
• Integrating sensors, actuators, and a microcontroller into a single, field-ready measurement system powered by a 9V battery

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

This intermediate-level kit fits CBSE Class 11–12 students prototyping agriculture-technology projects for school exhibitions, and B.Tech ECE/EEE undergraduates building Smart India Hackathon prototypes around precision horticulture. ATL Tinkering Lab facilitators will find it a ready-made module for sensor-based farming exploration. Even researchers at IIT, NIT, VIT, or BITS Pilani can use this kit to quickly test reflectance-based ripeness models without waiting on multiple component orders.

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.