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AI Plant Doctor Kit

LE1,145.00

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. It bundles 9 carefully chosen components with a full guide that takes you from the box to a competition-ready project.
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SKU: TNW-KIT-011

Categories: Bundles & Gifts, Production

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 CameraThe AI eye — camera + WiFi brain
  • Micro SD Card Module for Arduino or MCUStores the leaf-image dataset & model
  • USB to Serial TTL Converter Module CP2102 ChipFlashes the AI code onto the camera
  • BB-01 Breadboard 830 Tie PointBuild base (full breadboard)
  • BB-J140 Connecting Jumper Wires for Breadboard (140 Wire)Connections (140-wire set)
  • 0.96" OLED LCD ModuleShow the diagnosis on a screen
  • Basil Seeds 25gGrow your own basil to monitor
  • Plastic Planter 11 cm with Self-Draining Saucer (Yellow)A pot for your plant
  • Petmos Cocopeat 1 LGrowing 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:

  • Production / الإنتاج

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.


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