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Agriculture and AI in the service of climate
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.
Project partners
Sensative, Hushållningssällskapet, T-Kartor, Linköping & Lund University.
Plus co-op with AgTech 2030, Väderstad AB, AI Sweden South and Swedish Space Data lab.
- 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.
Project in progress
Food & Farming, Forestry & Wood, Research
Innovation, IT & Software, Research & Development
More Efficient, Smarter Product or Service
Practioner
Prediction, Optimization, Vision
Clustering, Image Analysis, Machine Learning
Geospatial Data, Image Data, Sensor Data, Time series