Technological  advancements,  in  the  area  of  artificial  intelligence  and  robotics,  have  a  disruptive power to digitalize forests and to make the forest industry more efficient and sustainable.
The core idea of this project is in the application of state-of-the-art methods and technologies to develop new algorithms for efficient segmentation of individual trees in forest environments that will increase the overall classification accuracy and allow to create a virtual twin of a forest as a basis for developing an intelligent decision support system.