CyberGrass
The ultimate goal of the project is that farmers have access to practical and useful services utilizing modern technology (remote sensing and artificial intelligence) to help in their silage production management. The project studies and demonstrates the possibilities of remote sensing methods to predict yield quantity and quality in silage swards.
Crop growth models together with weather forecasts will be utilized to predict the changes in the sward yield quantity and quality. The main emphases of the project consortia are to show how this method of yield estimation would operate as part of the digital farming services offered by several companies for crop management.
Project is part of the Interreg Botnia Atlantica Programme from the European Regional Development Fund (ERDF).
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Spectrophotogrammetry
Read more about Spectrophotogrammetry