AI Technology Enhances Organic Waste Sorting in Sweden to Boost Biogas and Fertilizer Quality

In Sweden, a new initiative uses artificial intelligence combined with X-ray technology to improve the sorting of organic waste, significantly aiming to reduce contamination and enhance the production quality of biogas and organic fertilizers. Green bags, which contain organic waste, are currently sorted automatically from residual waste before undergoing biological treatment. However, contamination from plastics, metals, and other materials in these green bags has posed significant challenges, degrading the quality of organic waste and demanding additional resources for re-sorting. Katarina Johansson, head of the Waste Department at Stockholm Water and Waste, highlighted the increased resource demand and potential waste disposal issues due to contamination. Currently, brown paper bags have lower contamination rates since they are part of a system where residents actively sort their waste themselves.

The project comprises two parts: first, identifying sorting errors geographically by linking green bags' batch numbers to specific areas, enabling targeted public information campaigns; second, utilizing AI-driven image analysis alongside X-ray technology at sorting facilities to detect and remove unwanted materials from the organic waste before treatment. Despite these technological advances, Johansson emphasized that altering public sorting behavior remains the biggest difficulty. She noted the importance for property owners to improve communication, signage, and provide feedback to residents to foster better waste sorting practices. Simplifying the sorting process and offering clear information, especially at the time residents move in, combined with regular reminders, can lead to greater success in reducing contamination.