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Season Analytics

Season Analytics provides cross-field comparison tools on the Season Detail page. Compare yield potential and health scores across all fields in a season to identify top performers, underperformers, and patterns across your farm.

Yield Race

Compare estimated yields across fields using 3 FAO methods — find top and bottom performers.

Health Race

Compare AI-generated health scores across fields — identify crops that need attention.

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Accessing Season Analytics

  1. Navigate to Seasons and open a season
  2. In the season detail sidebar, look for the Analytics section
  3. Select Yield Race or Health Race
Analytics require yield estimates and/or AI health analyses to be computed for the fields in the season. Yield estimates are generated automatically via background tasks. Health scores come from the AI Field Analysis feature.

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Yield Race

The Yield Race compares Ya/Ym ratios (actual yield as a fraction of maximum yield) across all fields in the season. Data comes from persisted YieldEstimate records computed using the 3 FAO methods.

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Method Selector

Toggle between estimation methods at the top:
MethodNameDescription
AFAO Paper 33Simple single-equation approach
BAquaCrop-LiteRecommended — separates transpiration from evaporation
CDual KcAdvanced — uses satellite NDVI for crop coefficients

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Visualizations

All fields ranked by Ya/Ym ratio for the selected method. Bars are color-coded:
  • 🟢 Green — ≥ 90% (excellent)
  • 🟡 Amber — 75–90% (good)
  • 🟠 Orange — 50–75% (fair)
  • 🔴 Red — < 50% (poor)
When there are more than 10 fields, a Top 5 / Bottom 5 toggle appears with a visual separator showing the omitted middle fields.
Shows the spread (divergence) between the 3 methods for each field. Fields with narrow agreement across all methods indicate reliable estimates. Wide divergence suggests model uncertainty for that field.Only fields with divergence > 0.5% are shown, filtering out noise. Hover over any bar to see individual Method A, B, and C values with color-coded dots.
A scatter plot where each dot represents a field:
  • X-axis — Water deficit (mm)
  • Y-axis — Ya/Ym ratio
  • Dot size — Field area (hectares)
Reveals whether water is the primary yield-limiting factor. A strong downward trend means water deficit is directly reducing yields.
A sortable, interactive table with a stage-loss sparkline per field. The sparkline shows tiny V/F/Y/R bars representing yield loss at each phenological stage:
  • V (Vegetative) — Canopy establishment losses
  • F (Flowering) — Pollination-period losses (most critical)
  • Y (Yield Formation) — Grain fill losses
  • R (Ripening) — Maturation losses
Click any row to navigate to that field’s detail page.
Aggregate statistics at the top:
  • Average Ya/Ym across all fields
  • Best and worst performing fields
  • Total estimated production

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Export

Download the complete yield comparison data as CSV for external analysis.

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Health Race

The Health Race compares AI-generated health scores across all fields, providing a quick overview of which parts of your farm need attention.

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Health Tiers

TierScore RangeColor
Excellent≥ 90🟢 Green
Good≥ 70🔵 Blue
Fair≥ 50🟡 Amber
Poor≥ 30🟠 Orange
Critical< 30🔴 Red

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Visualizations

Fields ranked by health score with tier-based coloring. Immediately see which fields are struggling.
A donut chart showing how your fields distribute across the 5 health tiers. Quickly assess overall farm health at a glance.
A scatter plot correlating AI health scores (X-axis) with modeled Ya/Ym yield ratios (Y-axis). Reveals whether health assessments align with yield models — strong correlation validates both analysis methods.
Full table with columns for field name, health score, health label, and yield data. Sortable by any column for custom ranking.
Average health score, count of fields per tier, best and worst performers.

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Data Source

Health scores come from the AI Field Analysis feature. The AI synthesizes data from multiple sources — satellite imagery (NDVI), NASA POWER climate data, soil conditions, and weather — to produce a composite health score (0–100) and label for each field.
Run AI Field Analysis regularly on your fields to keep health scores current. The Health Race always uses the latest analysis for each field.

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Cross-Feature Integration

Season Analytics brings together data from multiple Eyesotope features: 
AI Field Analysis ──→ Health Score ──→ Health Race
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Crop Intelligence ──→ Ya/Ym Ratios ──→ Yield Race
    (3 FAO Methods)                     │
                                        └──→ Health vs. Yield correlation
Both Yield Race and Health Race display fields using their alias (nickname) when available, falling back to the field name. Set field aliases from the field detail page for cleaner analytics displays.