AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)

Haider Al-Juboori; Syed Zuhaib H. Rizvi; Muhammad S. bin Roslan; Josephine Y. Liew

doi:10.1051/e3sconf/202560805013

AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)

Haider Al-Juboori, Syed Zuhaib H. Rizvi, Muhammad S. bin Roslan, Josephine Y. Liew

Department of Electronic Engineering and Communications

Research output: Contribution to journal › Article › peer-review

Abstract

Technological advancements in artificial intelligence (AI) have the potential to lead the way in promoting sustainable environmental practices as well as support environmental sciences and biodiversity field studies and research.The research will focus on designing an innovative system architecture that integrates laser-induced breakdown spectroscopy (LIBS) with a robust machine learning (ML) framework, significantly advancing sustainable environmental practices, especially since LIBS offers rapid and precise multielemental analysis, while AI enhances data processing and predictive capabilities.As technological innovations advance, the integration of the suggested LIBS system and advanced AI will be pivotal in addressing environmental challenges and promoting sustainability.This paper presents LIBS analytical data used to qualitatively assess soil constituents as a case study.

Original language	English
Article number	05013
Journal	E3S Web of Conferences
Volume	608
DOIs	https://doi.org/10.1051/e3sconf/202560805013
Publication status	Published - 01 Jan 2025
Event	9th Conference of the Sustainable Solutions for Energy and Environment, EENVIRO 2024 - Bucharest, Romania Duration: 28 Oct 2024 → 01 Nov 2024

Keywords

AI for sustainable environmental practices
digital technology
elements identification in soil
environmental sustainability
laser-induced breakdown spectroscopy (LIBS)
LIBS for Environmental sciences

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10.1051/e3sconf/202560805013

Cite this

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title = "AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)",

abstract = "Technological advancements in artificial intelligence (AI) have the potential to lead the way in promoting sustainable environmental practices as well as support environmental sciences and biodiversity field studies and research.The research will focus on designing an innovative system architecture that integrates laser-induced breakdown spectroscopy (LIBS) with a robust machine learning (ML) framework, significantly advancing sustainable environmental practices, especially since LIBS offers rapid and precise multielemental analysis, while AI enhances data processing and predictive capabilities.As technological innovations advance, the integration of the suggested LIBS system and advanced AI will be pivotal in addressing environmental challenges and promoting sustainability.This paper presents LIBS analytical data used to qualitatively assess soil constituents as a case study.",

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AU - bin Roslan, Muhammad S.

AU - Liew, Josephine Y.

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AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)

Abstract

Keywords

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