Artificial Intelligence, Machine Learning and User Interface Design

Role of Artificial Intelligence (AI) in Solid Waste Management: A Synopsis

Author(s): Pankaj Bhattacharjee* and Ashok B. More

Pp: 263-279 (17)

DOI: 10.2174/9789815179606124010016

* (Excluding Mailing and Handling)


Rapid urbanisation and subsequent growth in population have brought about a worldwide spike in the production of municipal solid waste. Poor management skills in the collection of waste and the improper allocation of transporting vehicles due to lack of technology usage, also, insufficient funds and inappropriate management of human resources have contributed towards making Municipal Solid Waste Management (MSWM) which is a big challenge nowadays, especially in developing countries. Scientists and researchers have been working towards developing cuttingedge technology in order to address this issue. Modern Artificial Intelligence (AI) technologies are being studied for their potential usefulness in the Solid Waste Management (SWM) industry. Waste management as a whole, including collection, transportation, and sorting, may benefit substantially from the intelligent use of AI algorithms. This article provides a brief overview of the way in which Machine Learning (ML) algorithms are used in MSWM across the whole process, from the initial creation of waste through its collection, transportation, and ultimate disposal.

Keywords: Algorithms, Artificial intelligence (AI), Deep learning, Internet of things (IoT), Machine learning (ML), Municipal solid waste management (MSWM).

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