Next-Gen Earth System Modeling: Real-Time Environmental Forecasting Using AI and Visual Sensor Fusion

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

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Publication Details

Journal
International Journal of Academic and Industrial Research Innovations(IJAIRI)
Published
2025-04-14
DOI
https://doi.org/10.62311/nesx/rp1525
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Next-Gen Earth System Modeling: Real-Time Environmental Forecasting Using AI and Visual Sensor Fusion

Murali Krishna Pasupuleti
International Journal of Academic and Industrial Research Innovations(IJAIRI)
Advanced Computational Techniques and Applications
article

Next-Gen Earth System Modeling: Real-Time Environmental Forecasting Using AI and Visual Sensor Fusion

Murali Krishna Pasupuleti
article en

Abstract

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

International Journal of Academic and Industrial Research Innovations(IJAIRI)Vol. 05(04)
Openalex Percentile: Top 97%
Advanced Computational Techniques and Applications
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