Technological Advancements in E-Waste Management Methods and Models

Abstract

In response to the rise of electronic trash on a worldwide scale, numerous new solutions have emerged. To recover valuable elements from electronic trash, many recycling processes have been developed, including mechanical, chemical, and biological methods. The use of artificial intelligence and machine learning algorithms in automated sorting systems has increased the operational efficacy of e-waste recycling dramatically. Urban mining has gained popularity as a potential method of obtaining precious metals from technological trash. Furthermore, the implementation of extended producer obligation (EPR) rules imposes obligation on producers for the correct management and disposal of their products. These technology advances collectively lead to more sustainable and effective electronic waste management, decreasing environmental impact and aiding the recovery of valuable materials.