The increasing use of pineapple leaf fiber (PALF) as a sustainable natural fiber has encouraged the development of blended yarns with characteristics that differ from those of conventional cotton yarns. These differences are expected to influence yarn package formation during the winding process, particularly package density, which plays a crucial role in package stability, unwinding performance, and package dyeing. However, studies investigating the effect of cradle pressure on the package density of cotton–PALF blended yarns and the application of digital image processing for dimensional measurement remain limited. Therefore, this study investigated the effect of cradle pressure variation in the winding process on the density of cotton–pineapple leaf fiber (PALF) blended yarn packages. Yarn package density is a critical parameter affecting package stability and downstream processes, including dyeing and unwinding. A controlled experimental design was applied using three pressure levels: 1.3 Bar, 2.1 Bar, and 3.5 Bar. Yarn Package density was determined using the mass to volume method, where mass was measured directly and volume was calculated through digital image processing. The experimental data were analyzed using descriptive statistics, one-way analysis of variance (ANOVA), Student–Newman–Keuls (SNK) post hoc test, and linear regression analysis. The results show that increasing cradle pressure significantly increases yarn package density (p 0.05). The average density increased from 0.3912 g/cm³ at 1.3 Bar to 0.5466 g/cm³ at 3.5 Bar. Linear regression analysis revealed a strong positive linear relationship with a coefficient of determination (R²) of 0.7598. It can be concluded that cradle pressure plays a significant role in improving yarn package compactness. The image processing method is also proven to be an effective non-contact approach for dimensional measurement with high consistency.
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