Extensive field, soil, satellite, and sensor data will be used as input to model algorithms driven by AI/ML and spatial analysis (GIS). These algorithms will create prescription files to control inputs and other actions in the fields as efficiently and climate-friendly as possible. The project objectives are:
- To create a climate-positive prescription file model as a decision tool for precision agriculture.
- Expand and enhance Hushållningssällskapet (the Rural Economic and Agricultural Societies) web-based decision support system Markkartering.se (that today has over 2000 active users, about 800 000 hectares) as climate-friendly production of food as possible.
Yggio is implemented as the multi-party network platform with AI and data storage. AI algorithms.
T-Kartor is the geo-platform, and Markkartering is the service provider.
Hushållningssällskapet, T-Kartor, Linköping & Lund University.
Plus co-op with AgTech 2030, Väderstad AB, AI Sweden South and Swedish Space Data lab.
Project duration: Nov 2020 – Dec 2022