AI Crop Disease Detection System
Upload a leaf image and let AI detect plant diseases instantly.
About the Project
This project uses Machine Learning and Computer Vision
- Detects diseases from leaf images
- Helps farmers diagnose problems early
- Reduces crop loss and increases yield
How It Works
Simple 4-step process to detect crop diseases
Upload Leaf Image
Take a clear photo of the affected leaf and upload it to our platform
AI Processes Image Using CNN Model
Our advanced CNN model analyzes the leaf for disease patterns
Disease Identified with Confidence Score
Get accurate disease identification with confidence percentage
Provides Remedies and Suggestions
Receive detailed treatment recommendations and prevention tips
Features
Advanced capabilities that make crop disease detection effortless
Fast Detection
Get results in seconds with our optimized AI algorithms
High Accuracy
90%+ accuracy rate powered by advanced CNN models
User-Friendly Interface
Simple upload and instant analysis for everyone
Remedy Recommendations
Actionable treatment plans for each detected disease
Supports Multiple Crops
Comprehensive coverage for various agricultural crops
Real-time Analysis
Instant feedback with visual disease highlights
Upload & Prediction
Upload a leaf image and get instant disease analysis
Upload Leaf Image
Drag & drop or click to select
Predicted Disease
Leaf Blight
Confidence Score
94%
Recommended Solutions
- Apply copper-based fungicide
- Increase air circulation
- Reduce watering frequency
Remedies
Effective solutions for crop disease management
Essential Remedies
- Remove infected leaves immediately
- Apply organic fungicide treatments
- Maintain proper plant spacing
- Use drip irrigation systems
- Monitor field regularly
Prevention Tips
- Rotate crops annually
- Ensure adequate drainage
- Maintain soil health
Dataset & Model
Powered by world-class data and cutting-edge AI
Dataset
PlantVillage
- • 87,000+ labeled images
- • 38 crop species
- • 26 disease classes
- • High-resolution photos
Model Type
CNN / MobileNetV2
- • Optimized for mobile
- • Real-time inference
- • Transfer learning
- • Edge deployment
Accuracy
90%+
- • Cross-validated
- • Tested on unseen data
- • Continuous improvement
- • Model retraining
Image Preprocessing Steps
