An integrated modelling and learning framework for real-time online decision assistance in Swiss agriculture
Description
We are developing an agricultural risk decision assistant based on a unique model that can assess and visualize reliable weather and seasonal climate forecasts, soil data, and crop growth forecasts. Based on real-time and historical weather, climate, soil and crop data and novel learning algorithms, the system calculates expected weather and climate conditions and crop yields and supports farmers with its real-time and online app in terms of production costs, irrigation management, resources required, etc.
Key data
Projectlead
Co-Projectlead
Project team
Dr. Luzius Jean Petit Matile, Guido Kunz, Prof. Dr. Martine Rebetez
Project partners
Hydrolina Sàrl
Project status
completed, 12/2018 - 11/2021
Institute/Centre
Institute of Computational Life Sciences (ICLS); Institute of Natural Resource Sciences (IUNR)
Funding partner
Innovationsprojekt / Projekt Nr. 26301.1 IP-ICT
Publications
School of Life Sciences and Facility Management
Schloss
8820 Wädenswil