Machine Learning
Agriculture
Python
2026
Crop Disease Detector
Building an AI that identifies plant diseases from a single leaf photo, the problem, the process, and the lessons learned.
Leaf sample showing visible disease symptoms
Why I Built This
It started with a simple question: how can a farmer with a smartphone tell if their crop has a disease before it spreads to the entire field?
Plant diseases are responsible for significant agricultural losses worldwide. Early detection is critical, but most farmers don't have access to agronomists or lab testing. A mobile-friendly AI that can identify diseases from a single photo could genuinely help.
What if you could just take a photo of a leaf and instantly know what's wrong with your crop?
That's the problem I set out to solve, building a deep learning model that classifies plant diseases from leaf images, deployed as a live web app anyone can access.
Healthy leaf, what the model learns to distinguish from diseased samples
Input and Output
What the app returns for the diseased sample
And for the healthy one
Class distribution across the training set
Training and validation curves
How a photo becomes a prediction, end to end