Forestry work is one of the most difficult and dangerous professions in all production areas worldwide – therefore, any kind of occupational safety and any contribution to increasing occupational safety plays a major role, in line with addressing sustainability goal SDG 3 (good health and well-being). Detailed records of occupational accidents and the analysis of these data play an important role in understanding the interacting factors that lead to occupational accidents and, if possible, adjusting them for the future. However, the application of machine learning and knowledge extraction in this domain is still in its infancy, so this contribution is also intended to serve as a starting point and test bed for the future application of artificial intelligence in occupational safety and health, particularly in forestry. In this context, this study evaluates the accident data of Österreichische Bundesforste AG (ÖBf), Austria’s largest forestry …