Nursery and plant production · South Tyrol
Irrigation forecasting — every plant gets what it needs
The starting situation
Irrigation usually runs by schedule or visual inspection. During heatwaves the reaction comes too late; when it rains, watering often continues without need. Water and energy are wasted, while individual crops still suffer stress.
How we solve it
We connect soil-moisture and climate sensors with weather forecasts and plant master data. A model recommends the optimal water volume and irrigation time for each bed and crop type. Control can run as a recommendation to the gardener or directly through existing valves.
What you get
Water and energy consumption drop measurably, plant growth becomes more consistent, and documentation for organic certification or subsidy applications is created automatically. The nursery keeps decision sovereignty — AI recommends, humans approve.
Do you recognise a similar process in your company?
If this use case feels close to your daily work, we can assess data availability, effort and a realistic first MVP together.
Why AI projects work →This use case is based on a real client project. Sector and region are named, the company itself remains anonymous.