., Prof. Pallavi M O and ., Arpitha H L (2025) Integration of IoT, Blockchain, and Machine Learning in Recycling: A Survey of Waste Management Innovations. In: Innovative Solutions: A Systematic Approach Towards Sustainable Future, Edition 1. 1 ed. BP International, pp. 263-274. ISBN 978-93-49238-02-2
Full text not available from this repository.Abstract
Over the past few years, the growing amount of garbage generated by households has become a major issue that is affecting society as a whole. The consequences of unmanaged garbage generation are extensive and include economic burdens, public health hazards, and environmental deterioration, from overflowing landfills to polluted waterways. In this endeavor, recycling becomes crucial since it provides a comprehensive answer to the intricate interplay of waste-related challenges. Recycling has the ability to lessen the negative consequences of household trash while also promoting environmental stewardship and community resilience since it diverts items from landfills and reimagines them as useful resources. This paper investigates and provides the reviews of the relationship between digital technology and recycling by analyzing various methods of recycling and social impact of current platforms. It also aims to provide a path for the future by spotting chances to use digital advances to promote sustainability and holistic wellness in the contemporary day. This investigation's insights highlight how important it is to combine digital technologies and recycling practices in order to effectively tackle the various issues that arise from home waste. Society may move towards a more sustainable future where waste is seen as a useful resource rather than a burden by utilizing the power of digital platforms.
Item Type: | Book Section |
---|---|
Subjects: | Open Asian Library > Social Sciences and Humanities |
Depositing User: | Unnamed user with email support@openasianlibrary.com |
Date Deposited: | 21 Feb 2025 05:28 |
Last Modified: | 21 Feb 2025 05:28 |
URI: | http://conference.peerreviewarticle.com/id/eprint/2009 |