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SLO - Self-learning drone

Published: 26 February 2020

In this project, Machine Design carries out a doctoral project funded by the SLO-fund (The Royal Swedish Academy of Agriculture and Forestry), where a self-learning system for automated route planning and navigation of agricultural machines is developed.

Robotization and automation have, in the agricultural industry and other industries shown great potential in terms of resource efficiency, quality, work environment, accident risk, etc. In recent years, research and development have led to many new methods, tools and technologies in automation, but most Swedish agricultural machines are still controlled by drivers on board. Elimination of this staffing is central to the future sustainable agriculture and in this project a self-learning system for automated route planning and navigation of agricultural machines under Swedish conditions will therefore be developed in a doctoral project over four years.