This research demonstrates rainfall prediction accuracy using artificial neural networks in Solapur City, suggesting viability for precise irrigation planning.
Predictive rainfall data is extremely important in fields where rainwater is primarily used for crop irrigation. In this study attempt has been made to predict rainfall of Solapur city, Maharashtra state. The rainfall data from 2010 to 2019 was collected. The length of the training data set varied from 70% to 90%. The study evaluates the performance of Artificial intelligence and its applicability to rainfall prediction modelling specifically applied to Solapur city. Computational networks with biological inspiration are called artificial neural networks (ANNs). Among the various types of ANNs , in this study, We focused on learning methods for feed-forward back propagation. The most popular ANNs, which can be used for a wide range of problems comprise three layers: input, hidden, and output, which are based on a supervised process. The outcome suggest that the artificial neural networks (ANNs) prediction model demonstrate satisfactory accuracy.
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Shoaib Sayyad (2025) studied this question.
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