Machine Learning Base Model for Waste Management
- Title
- Machine Learning Base Model for Waste Management
- Creator
- Anuram Krishna, E.S.; Nanjundan, Preethi; Thomas, Lijo
- Description
- Waste management is an important global challenge, where increasing urbanization and industrialization lead to high waste production. Traditional waste landfill methods, including manual sorting and fixed collection plans often result in disabilities, increased costs, and environmental decline. Integration of machine learning (ML) and artificial intelligence (AI) in waste management systems provides a transformative approach to solve these problems. This chapter examines the role of ML in automatic waste sorting, future indication analysis, collection passport optimization, and converting wasteto-energy. Case studies from Singapore, San Francisco, and large waste management companies highlight MLs real-world applications to create smart and more sustainable waste management systems. Singapores AIoperated system and San Franciscos policy-based waste management models show MLs ability to adapt to comparative analysis resources and reduce landfill addiction. The findings show that AI-controlled waste management leads to high recycling speeds, reduces greenhouse gas emissions, and more efficient resource allocation. Despite challenges such as high implementation costs, regulatory concerns, and privacy problems, the future of waste management lies in AI-operated automation, blockchain integration for waste tracking, and AI-cleaned waste solutions. 2025 River Publishers.
- Source
- A Circular Economy for Manufacturing Waste Management: Pathway Towards Sustainability;pp.267-290
- Date
- 01-01-2025
- Publisher
- River Publishers
- Subject
- Artificial Intelligence; Sustainable Waste Management; Waste Managment
- Coverage
- Anuram Krishna E.S., Department of Global FinancAnalytics, Christ University, India; Nanjundan P., Department of Data Science, Christ University, India; Thomas L., Department of Psychology, Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 978-874380688-2; 978-874380689-9;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Anuram Krishna, E.S.; Nanjundan, Preethi; Thomas, Lijo, “Machine Learning Base Model for Waste Management,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25269.