Transforming the textile industry with sustainable fibers and AI tools

Moving beyond fossil-based materials

Transforming the textile industry with sustainable fibers and AI tools

Main Goals

  • Develop new sustainable fiber sources: Transforming bio-based residual streams (e.g. agricultural residues, including residual streams from hemp cultivation and processing) into high-quality textile fibers.
  • Integrate AI and data-driven technologies: Using AI to improve recycling efficiency, optimize fiber separation, and predict textile properties, enabling smarter, more sustainable production.
  • Advance textile education: Incorporating AI and digitalization into textile engineering curricula, strengthening interdisciplinary research, and preparing future professionals for a circular textile economy. 

The project aims to strengthen interdisciplinary research combining textile technology, sustainability and artificial intelligence, in collaboration with industry and national and international partners.

Impact goals

  • Supports Sweden’s climate targets and environmental benefits, including potential reductions in greenhouse gas emissions from the textile sector.
  • Fosters innovation and competitiveness in the Swedish and European textile industries.
  • Strengthens the University of Borås’ leadership in sustainable textiles and digital transformation.

The project is part of Mistra Environmental Research Leaders.