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Hard⏱ time3 hr$ cost0

Plant Disease Detector

Train an image model to spot diseased leaves from healthy ones in photos.

Start building ↓
fig — working model Result first

The build

Step 01

Gather leaves

Collect healthy and diseased leaf images.

Step 02

Train a CNN

Fit a classifier on the two (or more) classes.

Step 03

Validate

Check accuracy on held-out leaves.

Step 04

Diagnose

Upload a leaf and get a verdict.

Working Principle

The model learns visual signs of disease — spots, discolouration — and classifies a new leaf by how closely it matches them.

The science behind it

A closer look

Image classification with a CNN can flag crop disease early, a real use of AI in farming.

Take it further

Variables to test

  • 1 Add a third disease class.
  • 2 Test a leaf the model never saw — confident?
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