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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