Application of Natural Dyeing on Hemp and Pineapple Yarn for Textile Designing Using Rotation-Invariant Coordinate Convolutional Neural Network 


Vol. 27,  No. 3, pp. 1299-1314, Mar.  2026
10.1007/s12221-025-01236-0


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  Abstract

Natural dyeing employs eco-friendly, renewable colorants to enhance the aesthetic appeal of fabrics while promoting environmental sustainability. However, challenges like inconsistent color fastness and limited dye availability affect scalability. Integrating traditional motifs into woven and knitted designs helps preserve cultural authenticity. This study explores the application of natural dyeing on hemp and pineapple yarns, in blended forms, using the Rotation-Invariant Coordinate Convolutional Neural Network (RICCNN) to improve textile design. Natural fibers such as cotton, hemp, and pineapple were spun into yarn, including pure and blended forms (60:40 Cotton/Hemp (CH) and Cotton/Pineapple (CP)). These yarns were dyed using natural colorants extracted through ethanol and aqueous methods, aided by mordants. Each yarn type exhibited 8 shades in both aqueous and ethanol extractions, and a total of 80 dyed yarns were obtained. These yarns were selected to analyze breaking strength, tenacity, hairiness, linear density, weight loss, whiteness index, color strength, and yellowness index. Among pure and blended yarns, 60:40 Cotton/Hemp and Cotton/Pineapple blends demonstrated superior physical and dyeing properties, with aqueous extraction outperforming ethanol. The RICCNN was used to transform traditional Pichwa and Gond art motifs into woven and knitted fabrics. The performance of the proposed technique attains 28.31%, 27.3%, and 21.58% higher accuracy and 24.01%, 21.73%, and 28.28% higher precision compared with existing approaches like extraction, characterization, and properties assessment of pineapple leaf fibers from Azores pineapple (PLFAP-TGA), environmental multifunctional dyeing of pineapple utilizing Nyctanthes Arbor-tristis dye and Acacia nilotica bio-mordant (EMDP-FTIR) and New Brazilian pineapple leaf fibers for textile appliances: colonization with dyeing performance (NBPLF-SEM). The approach successfully transformed traditional motifs into woven and knitted textile designs, demonstrating cultural preservation and sustainable innovation.

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  Cite this article

[IEEE Style]

D. Vasanthi and I. Jayalakshmi, "Application of Natural Dyeing on Hemp and Pineapple Yarn for Textile Designing Using Rotation-Invariant Coordinate Convolutional Neural Network," Fibers and Polymers, vol. 27, no. 3, pp. 1299-1314, 2026. DOI: 10.1007/s12221-025-01236-0.

[ACM Style]

D. Vasanthi and I. Jayalakshmi. 2026. Application of Natural Dyeing on Hemp and Pineapple Yarn for Textile Designing Using Rotation-Invariant Coordinate Convolutional Neural Network. Fibers and Polymers, 27, 3, (2026), 1299-1314. DOI: 10.1007/s12221-025-01236-0.

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