Tobacco-visorts: an intelligent vision-based sorting framework for automated tobacco leaf classification using yolov8 and starfish optimization
Accurate tobacco leaf grading is critical for product quality and commercial value in the tobacco industry, yet traditional manual and semi-automated sorting methods suffer from inconsistency, subjectivity, and low efficiency. This paper presents Tobacco-VISORTS, an intelligent vision-based sorting framework that integ...