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 to detect diseases from leaf images, helping farmers diagnose problems early.
Advanced CNN models for precise disease identification
Real-time analysis with confidence scores
Early detection saves crops and increases yield
How It Works
Upload Leaf Image
Take a clear photo of the affected leaf and upload instantly
AI Processes Image Using CNN Model
Advanced neural networks analyze patterns and features
Disease Identified with Confidence Score
Get precise diagnosis with accuracy percentage
Provides Remedies and Suggestions
Receive actionable treatment plans and prevention tips
Features
Fast Detection
Results in seconds with optimized AI processing
High Accuracy
90%+ precision with advanced CNN models
User-Friendly Interface
Simple upload and instant results display
Remedy Recommendations
Get personalized treatment plans based on detected diseases with step-by-step guidance for recovery.
Supports Multiple Crops
Compatible with wheat, rice, corn, and various vegetables for comprehensive crop protection.
Try AI Detection
Upload your crop leaf image and get instant disease analysis
Upload & Analyze
Drag & drop or click to upload
Results
Upload an image to see results
Quick Remedies
Take immediate action to protect your crops with proven treatment methods
Immediate Actions
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Remove infected leaves
Prune affected areas immediately to prevent spread
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Apply targeted fungicide
Use copper-based or organic solutions based on disease type
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Maintain plant spacing
Ensure 12-18 inches between plants for air circulation
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Use drip irrigation
Avoid overhead watering to reduce fungal infection risk
Prevention Checklist
Field Inspection Guide
Walk your fields every 3-4 days during growing season
Early Detection Tips
Check lower leaves first where humidity is highest
Optimal Timing
Inspect at dawn when symptoms are most visible
Emergency Response Kit
Stock these essentials for immediate disease control
Copper Fungicide
Pruning Shears
pH Test Kit
Protective Spray
Technology Behind AI Detection
Built on industry-leading datasets and cutting-edge machine learning models
PlantVillage Dataset
54,306 high-quality images across 38 crop disease categories
CNN Architecture
MobileNetV2 optimized for mobile deployment with real-time processing
Continuous Learning
Model retrained weekly with new field data from global users
Data Processing Pipeline
Image Acquisition
Standardized 224x224 RGB capture with automatic quality checks
Preprocessing
Normalization, augmentation, and background removal
Feature Extraction
1280-dimensional embeddings from MobileNetV2 backbone
Classification
Softmax layer with confidence scoring and uncertainty estimation
Model Performance Metrics
Open Source & Transparent
Our model architecture and training methodology are publicly available for research and validation