CYBERGRASS – Introduction to remote sensing and artificial intelligence assisted silage production

Key areas for improvement in grassland management include assessing the quality of grass yields per field and improving quantitative data gaps.

This project presents a new method for assessing the quality and quantity of grass yields based on unmanned aerial vehicles (UAVs) and satellites. The method will be tested under field conditions. The project will address the challenge of determining the quantity and quality of grass yield by providing both a plot-by-plot yield estimate (kg/ha) and a plot-by-plot prediction of yield quality before harvest.

This method will provide farmers with the information they need in a timely manner to be used in silage production. This can improve the profitability of dairy and meat production. The method will also help farms to plan cultivation when the number of yields is large and when the yields are located far from the farm's economic centre. Read more about the project activities here.

The project is funded by the Interreg Botnia-Atlantica programme and includes partners from Finland and Sweden.