Complete guide to using AI-powered plant health analysis, demand forecasting, market intelligence, and analytics
Updated 2025-11-11
25 min read
AI Hub Overview
The AI Hub is your central platform for leveraging artificial intelligence to optimize agricultural operations. From instant plant disease diagnosis to predictive demand forecasting, the AI Hub provides powerful tools to make data-driven decisions that reduce losses, boost yields, and save time.
What You Can Do with AI Hub
Diagnose Plant Health: Upload photos to get instant disease detection with confidence scores
Predict Demand: Forecast future plant demand based on historical data and market trends
Access Market Intelligence: Get AI-powered insights into pricing strategies and market trends (Pro+)
View Analytics: Comprehensive nursery performance analytics and recommendations (Enterprise+)
Track Usage History: Review all past AI queries and their results
Understanding Your AI Hub Dashboard
When you open the AI Hub, you'll see a comprehensive dashboard with the following sections:
Dashboard Layout
Hero Header: Quick overview with AI Hub branding and description
Feature Cards: Three highlighted cards explaining key AI capabilities
Usage Statistics: Real-time cards showing usage for each AI feature this month
Tabbed Interface: Five tabs for different AI features and history
Tab 1: Plant Health Analysis
What It Does
The Plant Health Analysis tab uses computer vision AI to analyze photos of your plants and detect diseases, pests, nutrient deficiencies, and other health issues. Get instant diagnosis with confidence scores and actionable treatment recommendations.
How to Use Plant Health Analysis
Navigate to the Tab:
Click on the "Plant Health" tab in the AI Hub interface
The tab shows a badge with your current usage count
Upload Plant Photos:
Click the "Upload Image" button or drag and drop photos
Supported formats: JPG, PNG, WEBP (max 5MB per image)
For best results: Take clear, well-lit photos showing affected areas
Multiple angles recommended for comprehensive analysis
Add Context (Optional but Recommended):
Plant type/variety name
Symptoms you've observed
Recent weather conditions
Any recent treatments or changes
Submit for Analysis:
Click "Analyze Plant Health"
Wait 10-30 seconds for AI processing
Usage counter will increment by 1
Review Results:
Health Assessment: Overall plant health score
Detected Issues: List of identified diseases, pests, or deficiencies
Confidence Score: AI confidence level for each diagnosis (0-100%)
Severity Level: Low, Medium, High, or Critical
Treatment Recommendations: Step-by-step actions to address issues
Prevention Tips: How to avoid similar problems in the future
Multiple Images: Upload 2-3 photos from different angles
Show Problem Areas: Focus on leaves, stems, or fruits showing symptoms
Good Lighting: Natural daylight works best; avoid harsh shadows
Clean Background: Remove clutter for clearer analysis
Verify AI Results: Always cross-reference with agronomist expertise for critical decisions
Tab 2: Demand Forecast
What It Does
Demand Forecasting uses machine learning to analyze your historical sales data, seasonal patterns, market trends, and customer behavior to predict future demand for specific plant varieties. This helps you plan production, manage inventory, and optimize resource allocation.
How to Use Demand Forecast
Access the Forecast Tab:
Click on "Demand Forecast" tab
View your usage statistics at the top
Select Forecast Parameters:
Plant Variety: Choose specific crop/variety to forecast
Confidence Intervals: Range of possible outcomes (best case, worst case, likely)
Recommended Production: Suggested sowing batch quantities and timing
Growth Trends: Year-over-year comparison and trends
Export and Plan:
Download forecast as PDF or CSV
Share with production team
Create sowing batches based on recommendations
Set reminders for peak demand periods
Maximizing Forecast Accuracy
Complete Historical Data: More past data = better predictions
Regular Updates: Run forecasts monthly to refine predictions
Seasonal Adjustments: Account for holidays, festivals, planting seasons
Multiple Scenarios: Generate forecasts for different varieties
Track Accuracy: Compare predictions to actual demand over time
Combine with Market Intelligence: Use both AI tools together for best results
Tab 3: Market Intelligence (Pro+ Plans)
What It Does
Market Intelligence provides AI-powered analysis of agricultural market trends, competitor pricing, regional demand patterns, and strategic recommendations. This premium feature helps you make informed business decisions, optimize pricing, and identify new opportunities.
How to Use Market Intelligence
Upgrade to Pro Plan (if needed):
If you see "Pro+ required" badge, click "Upgrade" button
Choose Pro or Enterprise plan to unlock this feature
Access Market Intelligence:
Click on "Market Intelligence" tab
Interface activates after plan upgrade
Select Analysis Type:
Market Trends: Overall industry trends and forecasts
Pricing Analysis: Competitive pricing insights
Regional Demand: Geographic demand patterns
Opportunity Finder: AI-identified business opportunities
Custom Query: Ask specific market questions
Review Intelligence Reports:
Executive Summary: Key insights and takeaways
Market Analysis: Detailed trend breakdowns
Competitor Insights: Pricing and positioning analysis
Strategic Recommendations: Actionable business advice
Risk Factors: Potential challenges and mitigation strategies
Apply Insights:
Adjust pricing strategies
Plan product mix changes
Identify new customer segments
Optimize marketing efforts
Pro Feature Benefits
Competitive Advantage: Stay ahead with market insights
Risk Management: Identify and prepare for market changes
Strategic Planning: Long-term business planning support
Tab 4: Nursery Analytics (Enterprise+ Plans)
What It Does
Nursery Analytics provides comprehensive AI-powered business intelligence specific to your nursery operations. Get deep insights into production efficiency, resource utilization, financial performance, and operational bottlenecks with automated recommendations for improvement.
How to Use Nursery Analytics
Upgrade to Enterprise (if needed):
This premium feature requires Enterprise plan
Contact sales or upgrade via pricing page
Access Analytics Dashboard:
Click "Analytics" tab in AI Hub
View comprehensive analytics dashboard
Explore Analytics Categories:
Production Analytics: Batch success rates, germination rates, growth cycles
Benchmarking: Compare performance against industry standards
Custom Dashboards: Personalized analytics views
API Access: Integrate analytics into other systems
Tab 5: Usage History
What It Does
The History tab provides a complete record of all your AI Hub interactions across all features. Review past analyses, forecasts, and queries to track patterns, reference previous results, and measure the impact of AI-driven decisions.
How to Use History Tab
Access History:
Click "History" tab in AI Hub
View chronological list of all AI queries
Filter and Search:
By Feature: Show only Plant Health, Forecasts, etc.
By Date Range: Filter by week, month, or custom range
By Result Type: Success, warnings, or errors
Keyword Search: Find specific plants or queries
Review Past Analyses:
Click on any history item to view full details
See original inputs, AI results, and recommendations
View timestamps and usage costs
Check which team member made the query
Export History:
Download complete history as CSV or PDF
Export filtered results for specific analysis
Share historical data with team or consultants
Rerun Analyses:
Click "Run Again" to repeat previous queries
Compare new results with historical data
Track changes and improvements over time
Usage Tracking and Limits
Understanding Your Usage
Each plan includes different monthly limits for AI features:
Starter Plan: 50 plant health analyses, 20 forecasts per month
Pro Plan: 200 plant health analyses, 100 forecasts, 50 market intelligence queries per month
Enterprise Plan: Unlimited usage across all AI features
Usage Resets: Limits reset on the 1st of each month
Overage: Additional usage available for purchase if you exceed limits
Best Practices for AI Hub
Tips for Maximum Value
Use Plant Health Proactively: Regular monitoring prevents major issues
Run Forecasts Monthly: Keep production planning aligned with demand
Combine Features: Use forecasting + market intelligence for best results
Monitor Usage: Track your monthly limits to avoid interruptions
Review History: Learn from past queries and track improvement trends
Verify Recommendations: Always validate AI insights with agricultural expertise
Document Actions: Record what actions you took based on AI recommendations
Measure Impact: Track ROI by comparing outcomes before/after AI adoption
Train Your Team: Ensure all team members know how to use AI features effectively
Provide Feedback: Report inaccuracies to help improve AI models
Troubleshooting Common Issues
Common Problems and Solutions
Image Upload Fails:
Check file size (max 5MB)
Verify file format (JPG, PNG, WEBP only)
Ensure stable internet connection
Low Confidence Scores:
Upload higher quality images
Provide more context about the plant
Try different angles or lighting
Forecast Not Available:
Ensure you have sufficient historical data (minimum 3 months)
Check that the selected variety has order history
Verify your plan includes forecasting
Usage Limit Reached:
Wait until next month for limit reset
Purchase additional usage credits
Upgrade to higher plan for more capacity
Feature Locked/Disabled:
Check if feature requires plan upgrade
Contact admin for permission settings
Verify your account is in good standing
Getting Help with AI Hub
Support Resources
In-App Help: Click the help icon (?) in any AI Hub tab for contextual guidance
Tutorial Videos: Watch step-by-step video guides on our YouTube channel
Support Team: Contact support via the help center for technical assistance
Community Forum: Connect with other users to share tips and best practices
Training Sessions: Schedule live training sessions with our AI specialists
Documentation: Refer to this guide and other knowledge base articles
Important Disclaimer
AI is a Tool, Not a Replacement: While our AI systems are highly accurate and trained on extensive agricultural data, they should supplement—not replace—professional agricultural expertise. Always verify critical decisions with qualified agronomists, especially for:
Large-scale pest or disease treatment decisions
Significant changes to production plans
New crop or variety introductions
Major business or financial decisions
Use AI insights as one data point among many in your decision-making process.