Minimizing the waste management effort by using machine learning applications

Title

Minimizing the waste management effort by using machine learning applications

Creator

Khang A.; Singh K.; Yadav M.; Yadav R.K.

Description

Waste management is a process of collecting, transporting, disposing, and monitoring waste materials generated by human activities. It is an essential part of maintaining public health, hygiene, and environmental sustainability. Waste management systems can be designed to handle different types of waste, such as household waste, industrial waste, hazardous waste, and medical waste. The increasing amount of waste has become a major issue for the development of sustainable communities. Machine learning can help solve this problem by allowing scientists to analyze and reduce waste. This chapter aims to provide a comprehensive overview of the various aspects of waste management using machine learning. The chapter covers the various aspects of waste disposal, generation, transportation, and collection. It also explores machine learning's potential in this area, such as data analysis and prediction. It additionally compiles case studies about how machine learning has been utilized in this field. 2024, IGI Global.

Source

Revolutionizing Automated Waste Treatment Systems: IoT and Bioelectronics, pp. 42-59.

Date

2024-01-01

Publisher

IGI Global

Coverage

Khang A., Global Research Institute of Technology and Engineering, United States; Singh K., Maharshi Dayanand University, India; Yadav M., University Institute of Sciences, Chandigarh University, India; Yadav R.K., Christ University, India

Rights

Restricted Access

Relation

ISBN: 979-836936018-7; 979-836936016-3

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-6016-3.ch004

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196609983&doi=10.4018%2f979-8-3693-6016-3.ch004&partnerID=40&md5=6c831d70480487f4431bb6030baf945e