Challenge:

Winegrowers face difficulties in effectively managing plant protection due to climate change and local extreme weather events, particularly with controlling downy mildew which is influenced by leaf wetness and microclimate variations.

Aim:

To optimize the timing and dosage of treatments for downy mildew control by providing winegrowers with precise, localized weather and leaf wetness data.

Solution:

The solution involves installing cost-effective leaf wetness, temperature sensors, and weather stations in vineyards. These sensors collect high-resolution data which is transmitted via LoRaWAN or cellular networks to a remote server. The data is then processed by VitiMeteo's decision support platform to provide actionable insights.

Benefit:

This approach helps winegrowers apply plant protection treatments more accurately, reducing unnecessary spraying, saving costs, and minimizing environmental impact. It ensures the health and quality of the crops while optimizing resource use.

This project involves close collaboration with winegrowers, sensor providers, and weather model developers. Winegrowers benefit from tailored solutions and training, while sensor providers and service developers like Moosle GmbH and Geosens gain valuable market insights and integration opportunities.