This kit serves one of our pillars: Production — technology in the service of nature.
Point a camera at a plant's leaf and let AI tell you if it is healthy or sick. You train the camera to recognise the signs of common plant diseases — the same computer-vision technology that protects real farms, built small enough for your windowsill.
What's inside the kit?
- ESP32-CAM Dev Board w/ OV2640 Camera — The AI eye — camera + WiFi brain
- Micro SD Card Module for Arduino or MCU — Stores the leaf-image dataset & model
- USB to Serial TTL Converter Module CP2102 Chip — Flashes the AI code onto the camera
- BB-01 Breadboard 830 Tie Point — Build base (full breadboard)
- BB-J140 Connecting Jumper Wires for Breadboard (140 Wire) — Connections (140-wire set)
- 0.96" OLED LCD Module — Show the diagnosis on a screen
- Basil Seeds 25g — Grow your own basil to monitor
- Plastic Planter 11 cm with Self-Draining Saucer (Yellow) — A pot for your plant
- Petmos Cocopeat 1 L — Growing medium
How the idea works
Every part in the kit has a job. Assembled in the right order they stop being loose parts and become a working system — one you build yourself, understand at every step, and see the result of with your own eyes. The included build guide walks you from zero to running.
Your journey: from kit to competition
- Build — assemble the kit and get it running.
- Understand — learn why each part is there and how it works.
- Improve — modify it, add a sensor, tune it, try your own idea.
- Make a project — turn the experiment into a project that solves a real environmental problem.
- Compete — enter your project into local and international competitions.
A good fit for tracks such as:
What you'll learn
- How a camera + AI recognise patterns (computer-vision basics)
- Collecting and labelling photos of healthy vs diseased leaves
- Training and running an image model on a microcontroller
- How early disease detection protects crops and food security
Extend & innovate
Add the OLED screen to show the diagnosis instantly, and grow your own basil with the seed add-on so you have a real plant to monitor. Expand the dataset to detect pests and nutrient deficiencies, and send a phone alert when a plant needs help.