WASTE MANAGEMENT AND RECYCLING TECHNOLOGIES

Abstract

Waste generation has become one of the most significant environmental, economic, and public-health challenges facing modern societies. Rapid urbanization, population growth, industrialization, changing consumption patterns, and the expansion of technology-dependent lifestyles have contributed to continuously increasing quantities and complexity of municipal solid waste, plastic waste, electronic waste, construction waste, and organic waste. Conventional waste management systems based mainly on collection, transportation, landfilling, and limited recycling are increasingly unable to manage these pressures efficiently. The emergence of advanced waste management and recycling technologies offers an opportunity to transform waste from an environmental burden into a valuable source of materials, energy, and economic opportunities. This research examines contemporary waste management and recycling technologies, with particular attention to artificial intelligence (AI), the Internet of Things (IoT), smart waste bins, robotic and automated sorting, computer vision, machine learning, waste-to-energy technologies, biological treatment, anaerobic digestion, advanced plastic recycling, and digital technologies supporting circular economy systems. The study adopts a systematic literature-based research approach and examines relevant academic and institutional literature published primarily between 2023 and 2026. The literature indicates that AI and IoT can improve waste collection, route optimization, waste forecasting, monitoring, sorting, and resource recovery, while robotics and computer vision can improve the speed and accuracy of material separation. Recent research also demonstrates increasing interest in integrating digital technologies with biological treatment, advanced recycling, and circular-economy strategies. However, technological adoption remains constrained by high capital costs, inadequate infrastructure, inconsistent waste segregation, limited datasets, cybersecurity and privacy concerns, lack of technical skills, regulatory weaknesses, and difficulties in transferring laboratory innovations into large-scale operational environments. The research concludes that technology alone cannot solve the global waste problem. Effective waste management requires integration of technological innovation with source segregation, appropriate infrastructure, supportive government policy, producer responsibility, public participation, economic incentives, and circular business models. A coordinated technology-enabled approach can reduce landfill dependence, improve material recovery, decrease environmental impacts, and support sustainable urban development.