| Abstract: | As water scarcity, droughts, and climate change continue to threaten global water resources, improving rainfall prediction and cloud seeding techniques is becoming increasingly crucial. This research investigates how modern technologies, including artificial intelligence (AI), machine learning, and advanced weather sensors, are enhancing the accuracy of weather forecasting and optimizing cloud seeding processes. By leveraging AI to analyze large datasets and real-time atmospheric conditions, we can predict rainfall more precisely and deploy cloud seeding agents more efficiently. This presentation will explore key technological advancements, case studies demonstrating their effectiveness, and the future potential of automated systems for targeted precipitation enhancement. |
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