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⚖️ Colony comparison analytics

Colony comparison analytics provides side-by-side comparison of multiple hives to identify trends, patterns, and performance differences.

Overview​

This feature helps beekeepers:

  • Compare hive productivity and health across their apiary
  • Identify best-performing queens and colonies
  • Detect underperforming hives early
  • Make data-driven decisions about queen replacement, feeding, and treatment
  • Understand environmental impacts on different hives

Comparison metrics​

Health indicators​

  • Brood pattern quality scores
  • Disease detection frequency
  • Varroa mite counts over time
  • Queen presence and quality

Productivity​

  • Honey production estimates
  • Comb building progress
  • Population growth rates
  • Foraging activity levels

Environmental data​

  • Temperature curves comparison
  • Humidity patterns
  • Weight changes (if scales connected)
  • Activity patterns

Management history​

  • Inspection frequency
  • Treatment applications
  • Feeding schedules
  • Queen replacement history

Features​

Visual comparisons​

  • Side-by-side charts for any metric
  • Overlay multiple hive timeseries on one chart
  • Heatmap views for apiary-wide comparisons
  • Trend analysis and anomaly detection

Statistical analysis​

  • Average, min, max values across selected hives
  • Standard deviation and variance
  • Correlation analysis between metrics
  • Outlier detection

Reporting​

  • Generate comparison reports for selected date ranges
  • Export comparison data for external analysis
  • Share comparison views with team members
  • Schedule automated comparison reports

Use cases​

Queen performance evaluation​

Compare colonies with different queens to:

  • Identify superior genetics
  • Decide which queens to breed from
  • Determine optimal queen replacement timing

Treatment efficacy​

After applying treatments:

  • Compare treated vs control hives
  • Measure treatment effectiveness
  • Optimize treatment protocols

Location analysis​

Compare hives in different apiaries to:

  • Assess forage quality by location
  • Identify optimal apiary sites
  • Plan apiary expansion

Seasonal planning​

Compare year-over-year performance to:

  • Plan harvest timing
  • Prepare for winter
  • Optimize spring buildup management