Artificial Intelligence in Wastewater Management

Author:

Babu C. V. Suresh1ORCID,Yadavamuthiah K.2,Abirami S.2ORCID,Kowsika S.2ORCID

Affiliation:

1. Hindustan Institute of Technolgy and Science, India

2. Hindustan Institute of Technology and Science, India

Abstract

This chapter introduces an innovative solution to address sewage pollution by integrating AI-enabled waste management systems. The approach involves segregating sewage into solid and liquid waste streams and applying specialized treatment processes. The main goal is to achieve sustainable sewage treatment, recover valuable resources, and produce distilled water. To ensure optimal performance, an AI system leveraging cutting-edge technologies like IoT, machine learning, and computer vision is employed for real-time monitoring, water quality assessment, and problem resolution. These findings contribute significantly to the advancement of sustainable waste management practices. They effectively reduce soil and water pollution, safeguard groundwater levels, and enhance overall operational efficiency. This technology-driven strategy paves the path for a more eco-friendly and advanced future in waste management.

Publisher

IGI Global

Reference20 articles.

1. Central Pollution Control Board. (2019). Water Pollution. Retrieved from https://cpcb.nic.in/water-pollution/

2. Dalley, S. (2009). Babylonian Waterways, Canals, and Irrigation. In Babylonians and Assyrians: Life and Customs (pp. 41-50). Routledge.

3. Understanding the potential applications of Artificial Intelligence in Agriculture Sector

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Trustworthy AI for Optimizing Agriculture;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-04-05

2. IoT-Driven Water Management Solutions for Sustainable Agriculture in the Age of Autonomy;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-03-29

3. Soil Quality Prediction Using Deep Learning;Practice, Progress, and Proficiency in Sustainability;2024-02-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3