Machine Learning-Based Rainfall Prediction: A Comprehensive Review

Several industries, including agriculture, water resource management, disaster preparedness, and urban planning, depend heavily on rainfall forecasting. Traditional approaches for predicting rely numerical simulations statistical models, which frequently have accuracy computing efficiency issues. Growing interest has been shown in using machine learning (ML) algorithms to enhance prediction as a result of recent developments ML approaches. In-depth analysis the methodology, difficulties, potential applications is provided this work.