Technologies in Urban Smart Waste Management

Abstract

Urban waste management is undergoing a transformation due to rapid population growth, leading to increased waste generation. Smart technologies, such as data analytics, sensor networks, and IoT devices, can optimize waste collection, sorting, and recycling processes, enhancing resource allocation, reducing environmental impact, and improving efficiency. Advanced technologies like convolutional neural networks (CNN) and deep learning models can revolutionize waste segregation, sorting processes, and operational efficiency. The use of swarm intelligence and the Internet of Things for opportunistic data collection presents promising solutions. Sensor technologies can also revolutionize waste monitoring practices, promoting environmental sustainability. However, there are gaps in rural solid waste management systems, necessitating effective citizen participation for comprehensive success.