Our Science-Based Approach

Every risk score is built on real data, not guesswork.

How We Calculate Risk

  • We combine multiple real-time data sources: meteorological forecasts, humidity levels, precipitation patterns, temperature trends, and leaf wetness hours
  • Each of the 5 diseases/pests has its own scientifically-informed risk model, calibrated to the specific environmental conditions that favor its development
  • Risk scores range from 0–100 and map to five levels: None, Low, Medium, High, and Critical
  • Our algorithms consider seasonal patterns — each disease has specific active months based on its biological lifecycle

Risk Scale

None
Low
Medium
High
Critical
0 100

Data Sources

  • Real-time weather data from professional meteorological APIs
  • GPS-precise forecasts for each vineyard's exact location (not regional averages)
  • Community-reported observations from verified vineyard owners nearby
  • Treatment history and protection windows

Community Intelligence

  • Reports from nearby vineyard owners are factored into risk calculations
  • Reports are weighted by two factors: severity (mild, moderate, severe) and distance (closer reports have more impact)
  • Only reports within your configured radius are considered
  • Verified reports (where a user confirmed our risk alert was accurate) carry additional credibility
  • All community data is anonymized — privacy is a core principle

The 5 Threats We Monitor

Downy Mildew

Plasmopara viticola

Fungal disease favored by warm, wet conditions. Causes oily leaf spots and white downy growth.

Powdery Mildew

Erysiphe necator

Thrives in warm, dry conditions with moderate humidity. Appears as white powder on leaves and berries.

Grape Moth

Lobesia botrana

Major vineyard pest. Larvae bore into berries causing rot and secondary infections.

Botrytis

Botrytis cinerea

Grey mold affecting berries during ripening. Favored by prolonged wetness and tight clusters.

Black Rot

Guignardia bidwellii

Causes brown leaf lesions and fruit mummification. Favored by warm, wet weather.

Continuous Improvement

Our models are continuously refined based on user feedback, regional data, and the latest viticultural research. SOSVine is built by people who care about vineyards.