Plant Disease Detection (Image Based)

A computer vision system that identifies plant diseases from leaf images and provides early treatment recommendations.

Achieved 92% classification accuracy in pilot agricultural datasets and enabled early-stage disease detection.

Project Overview

Built for farmers and agritech teams, this image-based classification model detects plant diseases using CNN architectures. The system outputs disease type, confidence score, possible causes, and recommended treatment guidance.

Key Features

• Leaf image upload with CNN-based classification
• Disease confidence scoring
• Treatment recommendation library
• Crop-wise detection history tracking
• Mobile-friendly image capture support

USP

Optimized for real-world, low-quality field images with practical next-step guidance.

Tech Stack