CropCare - AI-Powered Crop Disease Detection

GETTING STARTED WITH CROPCARE AI

CropCare AI is an AI-powered plant disease detection app that helps you identify plant species, detect diseases, and get treatment recommendations. This guide will help you use the app effectively and safely.

1. INSTALLATION AND SETUP

1.1 SYSTEM REQUIREMENTS

iOS 12.0+ or Android 5.0+ (API level 21+)
Camera access permission
Internet connection for AI analysis
Minimum 100MB free storage space
Note: Analysis history and images stored locally may require additional storage

1.2 FIRST-TIME SETUP

Download and install CropCare AI from the app store
Grant camera and storage permissions when prompted
The app will automatically authenticate with AI services
No manual setup required - authentication is automatic

1.3 PERMISSIONS EXPLAINED

Camera: Required to take photos of plants for analysis
Storage: Needed to save analysis history and images locally
Internet: Essential for AI analysis via third-party services
Location (optional): For environmental context in analysis

2. TAKING PLANT PHOTOS FOR BEST RESULTS

PHOTO QUALITY GUIDELINES

✓Use good lighting (natural daylight preferred)
✓Keep plant in focus with clear details visible
✓Include affected areas (leaves, stems, flowers)
✓Capture multiple angles if disease is present
✓Use rear camera for better image quality

WHAT TO AVOID

✗Blurry or out-of-focus images
✗Poor lighting (too dark or overexposed)
✗Too much background clutter
✗Extreme close-ups that miss plant context
✗Images with fingers or objects blocking the plant

2.3 OPTIMAL PHOTO CONDITIONS

Distance: 12-24 inches from plant
Lighting: Even, natural light (avoid direct flash)
Background: Clean, contrasting background preferred
Angle: Include leaves, stems, and affected areas
Time: Morning or afternoon for best natural lighting

3. ANALYZING PLANTS

3.1 STARTING AN ANALYSIS

Open CropCare AI app
Tap "Take Photo" to capture new image or "Choose from Gallery"
Review the selected image
Tap "Analyze Plant" to start AI processing
Wait for analysis results (typically 10-30 seconds)

3.2 UNDERSTANDING RESULTS

The AI analysis provides:

Plant Identification: Common and scientific names
Disease Detection: Health status or disease identification
Confidence Score: AI's confidence level (0-100%)
Symptoms: Visible signs and symptoms observed
Treatment Plans: Natural and chemical treatment options
Prevention Tips: How to prevent future problems

3.3 CONFIDENCE SCORES GUIDE

90-100%: Very High confidence (reliable identification)

70-89%: High confidence (good identification)

50-69%: Moderate confidence (verify with expert)

Below 50%: Low confidence (seek professional advice)

4. INTERPRETING TREATMENT RECOMMENDATIONS

4.1 NATURAL TREATMENTS 🌿

Organic and eco-friendly solutions
Safer for environment and beneficial insects
May take longer to show results
Examples: neem oil, baking soda solutions, beneficial bacteria

4.2 CHEMICAL TREATMENTS 🧪

Faster-acting synthetic solutions
More potent but may have environmental impact
Follow safety guidelines strictly
Examples: fungicides, bactericides, systemic treatments

4.3 TREATMENT SAFETY

⚠️ IMPORTANT SAFETY REMINDERS:

Always read and follow product labels
Wear protective equipment when applying chemicals
Consider environmental impact and beneficial insects
Test treatments on small areas first
Consult local agricultural extension services

6. BEST PRACTICES FOR ACCURATE RESULTS

6.1 PREPARATION

Clean plant leaves gently before photographing
Remove dead or severely damaged material for clearer view
Ensure plant is well-watered (not wilted from drought)
Check multiple areas of the plant for comprehensive analysis

6.2 MULTIPLE ANGLES

Take photos of different plant parts (leaves, stems, flowers)
Capture both healthy and affected areas for comparison
Include overall plant structure and affected details
Consider seasonal timing and growth stage

6.3 ENVIRONMENTAL CONTEXT

Note recent weather conditions
Consider watering schedule and soil conditions
Think about recent fertilizer or treatment applications
Factor in seasonal patterns and plant growth stage

7. WHEN TO SEEK PROFESSIONAL HELP

7.1 CRITICAL SITUATIONS

Valuable or rare plants showing severe symptoms
Commercial crops or food production concerns
Rapid spread of disease to multiple plants
Uncertainty about treatment safety or application

7.2 EXPERT CONSULTATION RECOMMENDED

Local agricultural extension services
Certified plant pathologists
Professional horticulturists
University plant diagnostic laboratories

7.3 AI LIMITATIONS TO CONSIDER

Third-party AI service, not specialized agricultural training
Cannot replace professional plant pathology expertise
Limited by image quality and lighting conditions
May not consider local environmental factors

SUPPORT AND FEEDBACK

For help, questions, or feedback:

GitHub Issues: hamezksm
Email: hamez@hamez.dev
In-app feedback features (if available)

We appreciate your feedback to improve CropCare AI!

LEGAL AND SAFETY DISCLAIMERS

CRITICAL WARNINGS

Never use AI plant analysis for human consumption decisions
Do not eat plants identified by the app without expert verification
Chemical treatments can be harmful - follow all safety guidelines
Children and pets should be kept away from treated plants

ACCURACY LIMITATIONS

AI analysis is preliminary guidance, not professional diagnosis
Always verify important decisions with qualified experts
Confidence scores are estimates, not guaranteed accuracy
Environmental factors may affect plant health beyond AI detection

LIABILITY

Users responsible for their own plant care decisions
App provides suggestions only, not professional advice
Follow local regulations for pesticide and treatment use
Consult professionals for valuable or commercial plants

VERSION HISTORY

Version 1.0 (September 1, 2025)

Initial user guide release
Basic plant analysis features
History management
Authentication system

[This guide will be updated as new features are added to the app]

HOW TO USE CROPCARE AI - USER GUIDE