AI for Earth: Innovations in Geoscience and Environmental Science

• Abdessalam Ouallali: Hassan II University of Casablanca, Morocco.
  Email: abdessalam.ouallali@fstm.ac.ma

• Abdeslam Taleb: Hassan II University of Casablanca, Morocco.
  Email: abdeslam.taleb@fstm.ac.ma

• Mohammed Karim Benhachmi, Hassan II University, Casablanca, Morocco
• Abdeslam Taleb, Hassan II University, Casablanca, Morocco
• Hamza Briak, Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
• Younes Ommane, Mohammed VI Polytechnic University (UM6P), Ben Guerir, Morocco
• Nadia Sénéchal, University of Bordeaux, France
• El Mahdi El Khalki, Mohammed VI Polytechnic University, Morocco
• Hajar EL TALIBI, Abdelmalek Essaadi University, Morocco
• Mourad Aqnouy, Moulay Ismail University, Meknes, Morocco,
• Amel Chakroun, University of Tunis El Manar, Tunisia
• Ali El Bilali, River Basin Agency of Bouregreg and Chaouia, Morocco
• Soufiane Aafir, Loukkos River Basin Agency, Tetouan, Morocco
• Shuraik Kader, Griffith University, Nathan, QLD 4111, Australia
• Velibor Spalevic, University of Montenegro, 81000 Podgorica, Montenegro
• Yassine Bouslihim, National Institute of Agronomic Research, Morocco
• Meriame Mohajane, Construction Technologies Institute, National Research Council (CNR), Italy
• Youssef Bammou, Cadi Ayyad University, Marrakech, Morocco
• Mohamed Beroho, Abdelmalek Essaadi University (UAE), Tangier, Morocco

This session explores « The Intersection of AI and Environmental Science », an insightful session where we delve into the transformative potential of artificial intelligence in geosciences and environmental science. This session brings together leading experts, researchers, and practitioners from diverse fields to explore how AI-driven technologies are revolutionizing our understanding and management of Earth’s systems. The important subjects to be addressed are AI in Climate Modeling, enhancing the accuracy and efficiency of climate predictions through advanced machine and deep learning techniques; Environmental Monitoring, leveraging AI for real-time monitoring and analysis of environmental data to better understand and mitigate human impacts; Geospatial Analysis, utilizing AI to interpret and visualize complex geospatial data, leading to more informed decision-making in resource management and urban planning; Natural Hazards, Disaster Prediction and Response, improving early warning systems and response strategies for natural disasters using AI algorithms; and Sustainable Practices, developing AI-driven solutions for sustainable agriculture, soil and water management, and biodiversity conservation. This session provides a platform for thought-provoking discussions and networking opportunities with industry leaders, offering insights into the latest AI applications that are shaping the future of geosciences and environmental science.

Topics to be discussed in this special session include (but are not limited to) the following:

• Artificial Intelligence for Environmental Science
• AI for Spatial Rural-Urban Planning
• Environmental Monitoring
• Artificial Intelligence for Water Management.
• Artificial Intelligence for Agricultural Management and Soil Science
• Artificial Intelligence for Wildfire Forecasting
• Natural Hazard Risk Management
• Artificial Intelligence for Earth Science
• Artificial Intelligence for Coastal Applications and Climate Change
• Big Data and Cloud Computing in Geosciences
• Hydro-informatics and Computer-based modeling of natural systems

Researchers and practitioners are invited to submit papers for this special theme session on AI for Earth: Innovations in Geoscience and Environmental Science on or before September 10^th, 2024 (Extended Deadline).

All submissions must be original and may not be under review by another publication.

All papers should be submitted

electronically through the easychair submission system as mentioned below:

The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 20%.

INTERESTED AUTHORS SHOULD CONSULT THE CONFERENCE’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at https://icactce-conf.com/call-for-papers-2/.

All submitted papers will be reviewed on a double-blind, peer review basis.

All the accepted papers (after double blinded peer review) will be published within the ICACTCE’24 Proceedings (SCOPUS Indexed).

NOTE: While submitting paper in this special session, please specify AI for Earth: Innovations in Geoscience and Environmental Science at the top (above paper title) of the first page of your paper.