Big Data: the key element of new tools for forestry

  In EFFORTE, August 2017 was time to prepare and finish 4 deliverables. These deliverables were strongly focused on Big Data and applications using it. In the project one key objective is to describe all meaningful and potential forestry related Big Data and to create decision-support models, such as forestry applications based on these data. They aim to increase cost-efficiency and new business opportunities in forest operations – sustainably, of …

EFFORTE project in France: Let’s talk about soil!

When planning and undertaking logging operations in the plains, French forest companies are often confronted with multiple challenges related to soil bearing capacity and respective sensitiveness towards compaction and rutting. Risk mitigation measures are already in place both in the forest management plan and the pre-harvest planning but some knowledge gaps still hinder efficiency. French mineral soils make it a hard job because forest soils are heterogeneous and sensitive situations …