AI Crop Doctor - User Guide

Getting Started

What is AI Crop Doctor?

AI Crop Doctor is an advanced machine learning application that helps farmers and agricultural professionals identify plant diseases from photographs. Our AI model can detect various crop diseases with high accuracy and provide treatment recommendations.

Supported Crops & Diseases

Supported Crops:

Tomato
Potato
Apple
Corn
Wheat
Pepper
Grape

Common Diseases Detected:

Early Blight
Late Blight
Bacterial Spot
Powdery Mildew
Rust
Scab
Leaf Curl

System Requirements

Internet Connection: Required for AI processing
Browser: Chrome, Firefox, Safari, Edge (latest versions)
Image Format: JPG, PNG, GIF supported
File Size: Maximum 16MB per image
Resolution: Minimum 300x300 pixels recommended

How to Use

Step 1: Upload Plant Image

Drag & Drop or Click to Upload

Click the upload area in the left panel
Select a clear photo of the affected plant
Or drag and drop the image directly
Alternatively, try sample images from the homepage

Photo Tips: Ensure good lighting, focus on affected leaves, avoid blurry images

Step 2: Initial Analysis

After uploading, our AI will:

Process your image (usually takes 5-10 seconds)
Display the detected disease name
Show confidence level (accuracy percentage)
Present the analyzed image in the left panel

85% Confident High accuracy detection

Step 3: Detailed Diagnosis (Optional)

For more accurate treatment recommendations:

Click "Get Detailed Diagnosis" button
Answer 5 categories of questions:
- Plant Symptoms: Leaf discoloration, wilting
- Environmental: Weather, temperature
- Treatment History: Fertilizers, pesticides used
- Pest Observations: Insects, damage patterns
- Plant Management: Watering, growth stage
Submit for AI-generated comprehensive report

Step 4: Review Recommendations

The AI Agronomist Report includes:

Integrated Diagnosis: Combined AI + your observations
Organic Treatment: Natural remedies and practices
Chemical Treatment: Recommended products (India-specific)
Prevention Strategy: Long-term disease prevention
Monitoring Timeline: When to expect results

Understanding Results

Confidence Levels

80-100%: High Confidence

Very reliable detection. Proceed with recommended treatment.

60-79%: Moderate Confidence

Good detection. Consider expert consultation for confirmation.

Below 60%: Low Confidence

Uncertain detection. Consult local agricultural expert.

Disease Categories

Fungal Diseases:

Blight, rust, mildew, scab - often weather-related

Bacterial Diseases:

Spots, wilts, cankers - spread through water/wounds

Viral Diseases:

Mosaic, curl, yellowing - vector-transmitted

Treatment Timeline

Immediate (0-3 days): Emergency treatments, isolation
Short-term (1-2 weeks): Active treatment application
Medium-term (2-4 weeks): Monitoring and follow-up
Long-term (1+ months): Prevention and maintenance

Tips & Best Practices

Photography Tips

Good Photos:

Natural daylight (not direct sun)
Focus on affected leaves/areas
Multiple angles if possible
Clean, unobstructed view
Stable, non-blurry images

Avoid:

Very dark or bright lighting
Blurry or out-of-focus shots
Too much background clutter
Screenshots from other sources
Heavily filtered images

Maximizing AI Accuracy

Multiple Samples: Upload 2-3 different affected leaves
Complete Questions: Answer all diagnostic questions thoroughly
Recent Photos: Use current images, not old ones
Context Information: Provide detailed environmental conditions
Cross-Reference: Compare with similar cases in history

Disease Prevention

Proper Watering

Avoid overhead watering, water at soil level

Air Circulation

Ensure adequate spacing between plants

Crop Rotation

Rotate crops to break disease cycles

Garden Hygiene

Remove infected plant debris promptly

When to Consult Experts

Confidence level below 60%
Disease spreading rapidly despite treatment
Multiple diseases detected simultaneously
Valuable/commercial crop at risk
Unfamiliar or severe symptoms

Troubleshooting

Common Issues

Problem: "File upload failed"

Solutions:

Check file size (max 16MB)
Use supported formats (JPG, PNG, GIF)
Try a different image
Check internet connection

Problem: "Low confidence results"

Solutions:

Upload clearer, better-lit photos
Focus on clearly affected areas
Try multiple angles
Ensure disease symptoms are visible

Problem: "Analysis takes too long"

Solutions:

Check internet connection speed
Reduce image file size
Clear browser cache
Try during off-peak hours

FAQ

Q: Is my data secure?

A: Yes, images are processed securely and not stored permanently on our servers.

Q: Can I use this offline?

A: No, internet connection is required for AI processing.

Q: How accurate is the detection?

A: Our model achieves 95%+ accuracy on tested crops and diseases.

Q: Can I save my results?

A: Yes, all analyses are automatically saved in your History section.

Get Help

Emergency Support:

Click the red "Emergency" button in the navbar for immediate agricultural helplines.

Technical Support:

For technical issues, contact your system administrator or IT support.

🚨 Emergency Support

User Guide

Getting Started

What is AI Crop Doctor?

Supported Crops & Diseases

System Requirements

How to Use

Step 1: Upload Plant Image

Step 2: Initial Analysis

Step 3: Detailed Diagnosis (Optional)

Step 4: Review Recommendations

Understanding Results

Confidence Levels

Disease Categories

Treatment Timeline

Tips & Best Practices

Photography Tips

Maximizing AI Accuracy

Disease Prevention

When to Consult Experts

Troubleshooting

Common Issues

FAQ

Get Help