A Comprehensive Study of Distinctive Methods of Waste Segregation and Management

Abstract

Fallacious waste management is an enormous enemy towards a healthy environment. Currently, the world's waste is categorized into municipal solid waste, industrial waste, agricultural waste, and hazardous waste. In earlier days instead of using different methodologies for waste segregation and management, people used similar methods for assorted kinds of waste produced in varying categories. But in recent years there has been a huge leap in techniques that involve segregation of waste and then proper disposal process. The two major technologies that have been developed for eradicating the complications in the field of waste management are IoT (Internet of Things) and deep learning. Apart from segregation and managing the garbage, the collection of garbage is also an important task. When the garbage isn't collected at regular intervals of time, it affects the health of citizens residing in that surrounding area. Both the technologies have done great work in eradicating this communication gap and made sure that proper segregation of waste takes place leaving no stone unturned. This survey paper discusses various strategies of waste segregation and management.