Next-Gen Earth System Modeling: Real-Time Environmental Forecasting Using AI and Visual Sensor Fusion
Year: 2025
Type: article
Abstract: : The research paper titled "Next-Gen Earth System Modeling: Real-Time Environmental Forecasting Using AI and Visual Sensor Fusion" delves into the cutting-edge integration of Artificial Intelligence (AI) and Visual Sensor Fusion for advancing environmental forecasting in real-time scenarios. This pioneering approach combines the power of AI algorithms with visual data captured from sensors to enhance the accuracy and timeliness of environmental predictions. By leveraging the strengths of AI in processing vast amounts of data and the insights derived from visual sensor inputs, this research opens new avenues for improving Earth system modeling and forecasting precision. The synergistic blend of AI and Visual Sensor Fusion holds immense promise for revolutionizing how we monitor, analyze, and predict environmental changes with unprecedented speed and accuracy. Keywords: :Earth System Modeling, Real-Time Forecasting, Artificial Intelligence, Visual Sensor Fusion, Environmental Predictions
DOI: 10.62311/nesx/rp1525
Author: Murali Krishna Pasupuleti
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: bronze
OpenAlex ID: W4409403844