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ISSN 2063-5346
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Performance Analysis and Assessment of Machine Learning Algorithms for Prediction of Rainfall

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A. Gayathri , B. Uma Devi , Dr. T. Ramaswamy
» doi: : 10.48047/ecb/2023.12.si8.189

Abstract

Agriculture plays a significant role in the Indian economy. Rainfall is crucial to agriculture, but forecasting it has become a major challenge in recent years. The ability to anticipate rainfall accurately enables farmers to better plan for their crops and take preventative measures. Global warming not only affects people and the environment negatively, but it also hastens climate change. Its climate is warming, and the ocean's level is increasing, which results in floods and the desertification of farmed lands. Unfavourable climate change causes premature and senseless amounts of precipitation. To grasp the necessity of changing the environment and its parameters, such as temperature, moistness, precipitation, and wind speed, which ultimately corresponds to precipitation projection. Rainfall is difficult to forecast because it also depends on your location

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