AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)
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...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05013.pdf |
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| author | Al-Juboori Haider Rizvi Syed Zuhaib H. bin Roslan Muhammad S. Liew Josephine Y. |
| author_facet | Al-Juboori Haider Rizvi Syed Zuhaib H. bin Roslan Muhammad S. Liew Josephine Y. |
| author_sort | Al-Juboori Haider |
| collection | DOAJ |
| description | 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 multi-elemental 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. |
| format | Article |
| id | doaj-art-d9a64a7de5724e04be5d1c91093fc755 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-d9a64a7de5724e04be5d1c91093fc7552025-02-05T10:49:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080501310.1051/e3sconf/202560805013e3sconf_eenviro2024_05013AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS)Al-Juboori Haider0Rizvi Syed Zuhaib H.1bin Roslan Muhammad S.2Liew Josephine Y.3Dept. of Electronics Engineering and Communications, South East Technological UniversityDept. of Physics and Chemistry, FAST, University Tun Hussein Onn Malaysia (UTHM)Department of Science and Mathematics, Universiti Tun Hussein Onn MalaysiaDepartment of Physics, Faculty of Science, Universiti Putra MalaysiaTechnological 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 multi-elemental 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05013.pdflaser-induced breakdown spectroscopy (libs)libs for environmental sciencesai for sustainable environmental practiceselements identification in soilenvironmental sustainability and digital technology |
| spellingShingle | Al-Juboori Haider Rizvi Syed Zuhaib H. bin Roslan Muhammad S. Liew Josephine Y. AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) E3S Web of Conferences laser-induced breakdown spectroscopy (libs) libs for environmental sciences ai for sustainable environmental practices elements identification in soil environmental sustainability and digital technology |
| title | AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) |
| title_full | AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) |
| title_fullStr | AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) |
| title_full_unstemmed | AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) |
| title_short | AI-Powered Sustainable Environmental Practices using Laser-Induced Breakdown Spectroscopy (LIBS) |
| title_sort | ai powered sustainable environmental practices using laser induced breakdown spectroscopy libs |
| topic | laser-induced breakdown spectroscopy (libs) libs for environmental sciences ai for sustainable environmental practices elements identification in soil environmental sustainability and digital technology |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05013.pdf |
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