Japanese agriculture faces labor shortages, challenges in skill acquisition for new farmers, and a low food self-sufficiency rate. Agricultural digital transformation (DX) is essential for improving productivity and meeting consumer demands. To facilitate the early acquisition of harvest information and reduce labor requirements, this study proposes a method for measuring the vertical projected area of cabbage using semantic segmentation to extract image regions from camera images for crop growth prediction. The proposed method is validated using evaluation images.