Artificial Intelligence in Geosciences

Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in geosciences. Artificial intelligence (AI) approaches have proven to be effective in a variety of Earth scientific fields (e.g., climate models, weather prediction, hydrology, space weather, and solid Earth). Prediction, anomaly detection, event classification, and onboard decision-making are all tasks that AI approaches are utilised for on satellites, and they could possibly give high-speed options for describing subgrid processes in climate models. Artificial intelligence (AI) is one of the most rapidly developing fields in the field of electronic information technology. Along with diverse data, researchers are putting AI-enabled technologies like image processing, smart sensors, and intelligent inversion to the test in a number of geosciences areas. These technologies have the potential to aid the transition from qualitative to quantitative analysis in the geosciences.

• AI-Based Precision Geosciences
• Smart Sensors
• Geoscience’s Robotics
• Automation Equipment
• Geosciences Knowledge-Based Systems
• Computational Intelligence
• AI In Geosciences Optimization Management
• Intelligent Interfaces
• Human-Machine Interaction
• Machine Vision
• Image/Signal Processing
• Machine Learning
• Pattern Recognition
• Neural Networks, Fuzzy Systems, Neuro-Fuzzy Systems
• Systems Modeling and Analysis
• Expert Systems in Geosciences
• Big Data and Cloud Computing in Geosciences
• Automatic Navigation and Self-Driving Technology
• High Performance Computing in The Context of Machine Learning