Context above the alert
A message can include crop, risk window, temperature, humidity, local wetness, and the reason disease pressure increased.
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.
A message can include crop, risk window, temperature, humidity, local wetness, and the reason disease pressure increased.
Floriculture, vegetables, orchards, and vineyards use different rules for Botrytis, downy mildew, powdery mildew, scab, fire blight, or root stress.
AI does not automatically prescribe treatments. It explains the risk and suggests checks; products, doses, and withholding periods depend on labels and local rules.
Alerts remain part of the farm workflow so teammates can see the same context and compare episodes during the season.
GrowGuard uses forecast, local sensors, and crop profile data where available.
The platform evaluates disease pressure and sends push or email when risk crosses the useful threshold.
Check leaves, soil, microclimate, and official recommendations before any intervention.
Install GrowGuard and monitor phytosanitary pressure alongside sensor readings.
No. AI provides explanations and operational orientation, but product choice, dose, label compliance, and withholding period must be validated by the user or specialist.
Forecast provides the broader weather context, while local sensors can confirm temperature, humidity, or wetness in the exact crop zone.