Jujube quality varies significantly due to factors such as origin, necessitating sorting by grade. Manual sorting is inefficient, costly, and difficult to standardize. Traditional algorithm-based sorting machines lack the capability to detect critical defects like wrinkling and deformation, and require high expertise and long cycles for algorithm adjustments. An automated sorting solution is needed to effectively identify defects that are challenging for traditional algorithms (e.g., wrinkling, deformation) and adapt to natural product variations, enabling fast and accurate quality grading.