Inspiration

To build a simple app for farmers to prevent from losses due to crop diseases

What it does

It basically predicts with what type of disease crop affected with

How we built it

Using machine learning and python

Challenges we ran into

Collecting data and disease accuracy

Accomplishments that we're proud of

We build this app for 3 different languages

What we learned

To find real time problem solutions

What's next for Crop Disease Detection Using Machine Learning and AI

Field Testing: Test the system in real-world agricultural environments to gather feedback and refine the model's performance. Scalability and Integration: Expand the system to support more crops and regions, and integrate with other farm management tools.

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