AI-Powered Plant Diagnosis

1. Image Analysis

Convolutional Neural Network
Image Preprocessing Pipeline

Our deep learning model analyzes leaf images trained on a dataset of over 10000+ plant images across 11 species.

2. Confidence Threshold Verification

90% Confidence Threshold
High Confidence (>90%)
Proceed to automated disease analysis
Low Confidence (<90%)
Requires manual plant verification

3. Real-Time Weather Integration

OpenWeatherMap API
Geolocation Services
Temperature Analysis

Optimal treatment recommendations based on current temperature

Humidity Monitoring

Adjust suggestions for fungal risk levels

Rainfall Prediction

Modify treatment schedules accordingly

4. Multi-Model Disease Detection

Transfer Learning
Disease Detection
  • 34 Unique Diseases
  • 11 Plant Species
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