AI disease alerts

AI-explained phytosanitary alerts, not just raw notifications.

GrowGuard combines agrometeorological forecast, local sensors, and crop-specific disease rules to make risk signals easier to act on. AI explains why an alert appeared, which factors support it, and what should be checked in the field. Guidance is informational and must be validated against the crop, product label, and agronomic expertise.

Forecast + local sensors AI explanations Push and email
GrowGuard phytosanitary alert screen with AI context

Context above the alert

A message can include crop, risk window, temperature, humidity, local wetness, and the reason disease pressure increased.

Crop-specific models

Floriculture, vegetables, orchards, and vineyards use different rules for Botrytis, downy mildew, powdery mildew, scab, fire blight, or root stress.

Agronomic caution by design

AI does not automatically prescribe treatments. It explains the risk and suggests checks; products, doses, and withholding periods depend on labels and local rules.

Team-ready history

Alerts remain part of the farm workflow so teammates can see the same context and compare episodes during the season.

How an AI disease alert works

01

Collect context

GrowGuard uses forecast, local sensors, and crop profile data where available.

02

Receive the alert

The platform evaluates disease pressure and sends push or email when risk crosses the useful threshold.

03

Validate in the field

Check leaves, soil, microclimate, and official recommendations before any intervention.

Turn disease-risk alerts into useful explanations.

Install GrowGuard and monitor phytosanitary pressure alongside sensor readings.

Frequently asked questions

Does AI prescribe crop-protection treatments?

No. AI provides explanations and operational orientation, but product choice, dose, label compliance, and withholding period must be validated by the user or specialist.

Why do local sensors matter for disease alerts?

Forecast provides the broader weather context, while local sensors can confirm temperature, humidity, or wetness in the exact crop zone.