Disease Identifier in Plants

Overview

An automated system for early detection of diseases in potato plants using computer vision and deep learning.

Technical Details

The project utilizes advanced CNN architectures:

• Custom CNN architecture for plant disease classification
• Transfer learning using pre-trained models
• Data augmentation for improved model generalization
• Real-time inference capabilities for mobile applications