| Conventional waste management methods are very harmful for human health and environment. Many materials such as metals, plastics and paper can be recycled but in conventional waste management systems they are sent to landfills. Landfills occupy large amounts of land that could be used for other purposes. As landfills expand they impact ecosystems by emitting green house gases, different types of pollution, high carbon foot prints spreading so many hazardous diseases of animals and human and reducing biodiversity. Automated waste management system are playing a pivotal role towards a circular economy where the aim shifts from traditional method of take, make, dispose model to the systems that emphasize sustainable future and minimal waste generation. This paper explores the unification of automation technologies in waste management processes like, the Internet of Things (IoT), Robotics, Cloud Computing, Artificial Intelligence (AI) and Machine Learning are enhancing waste collection, sorting, recycling and disposal processes, Automation enhances the efficiency speed, reduces labour cost and human errors in waste sorting and collection leading to higher accuracy in recycling processes. This paper also highlights benefits, minimizing waste and reducing environmental impact and support for the circular economy.
Keywords: Automation, Artificial Intelligence, Internet of Things.
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