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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Artificial Intelligence for Geoscience |
| Authors Name: | Sinchana K C , Bindu V G , Tarun Reddy , Ahmed Ali, Subashini H , Prof. Nanthini K |
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IJRTI_203401
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| Published Paper Id: | IJRTI2505118 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Artificial Intelligence for Geoscience 1Sinchana KC, 2Bindhu V G, 3Ahmed Ali Ahmed Elhassan, 4Tarun Reddy M, 5Subashini, 6Prof. Nanthini sinchana346@gmail.com, binduvg74@gmail.com, ahmedaliahmedsec2022@gmail.com, reddytarun32@gmail.com, subashinih2004@gmail.com 1,2,3,4,5 PG Student, School of CS & IT, JAIN (Deemed-to-be University) Bangalore, India 6 Professor, School of CS & IT, JAIN (Deemed-to-be University) Bangalore, India Abstract Integration of Artificial Intelligence (AI) in Geoscience is re -shaping the way of studying and understanding the Earth's complex processes. With the progress in machine learning, deep learning and neural networks, AI is playing an important role in improving geological modelling, seismic data interpretation and resource exploration. These technologies enable geologists to analyse large amounts of data with greater accuracy, speed and efficiency, leading to more accurate predictions about natural phenomena such as earthquakes, mineral deposits and climate patterns. Beyond its immediate applications, AI is also contributing to environmental stability by adapting the resource extraction, reducing human-induced environmental risks and increasing climate monitoring efforts. However, adoption of AI in Geoscience comes with challenges, including data quality issues, requirement of domain expertise in AI model training and ethical ideas related to automation in decision making. This paper examines the transformational effects of AI on geoscience, its various applications, extending obstacles that need to be addressed, and future possibilities keep it. By reducing the gap between traditional geological methods and AI-operated approaches, the Geoscience community can unlock the new insight into the Earth's dynamic systems, paves the way to make more informed decisions in research, industry and environmental protection. |
| Keywords: | Artificial Intelligence (AI) , Geoscience, Machine Learning, Deep Learning, Neural Networks. |
| Cite Article: | "Artificial Intelligence for Geoscience", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b128-b137, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505118.pdf |
| Downloads: | 000418 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505118
Registration ID:203401
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: b128-b137 Country: Banagalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505118 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505118 |
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