The article highlights the chicory leaf miner as a significant pest in chicory cultivation, causing damage to the root system and rendering the crop misshapen or unsaleable. The issue current lies in the inability to visually distinguish affected roots. In response, research centers are exploring the use of X-ray-based technologies and deep learning techniques to identify damage caused by the leaf miner, with the goal of reducing yield losses. The deep learning project, WiMiscan, which started in the summer and will run until spring 2025, aims to develop a method for quickly and accurately assessing X-ray images of chicory roots for leaf miner larvae damage.