Forest management processes are on the verge of leveraging advanced technology to ascertain vital information about the dynamics of woods, which are among the most crucial ecological assets known to man. Satellite imagery, drone technology, and artificial intelligence are examples of hard and soft technologies used to assess the quality of forest woods, undertake bushfire risk assessments, and mechanize the harvest of standing trees. However, nondestructive evaluation and the grading of wood products are essential in downstream sectors such as construction. As such, this Special Issue aims to highlight advanced technologies used to address the abovementioned issues by providing selected contributions on the management of upstream and downstream forestry-related industries.

Potential topics include, but are not limited to:
· Artificial intelligence in forest management;
· The risk assessment of bushfires;
· Mechanized harvesting of standing trees;
· Machine learning for wood material grading;
· Nondestructive evaluation of wood products