Published Paper Details:

Due to the unpredictable swings in climatic and atmospheric conditions, weather forecasting is becoming a more important topic of study. Scientists have been developing novel strategies for training models to achieve accuracy over nonlinear statistical datasets for the past few decades in order to prevent future environmental damage and world disaster. Predicting the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Agriculture, which plays a crucial role in the Indian economy, predicts the climatic condition in advance is easy for farmers to know the favorable climatic conditions for the crops to be grown, which leads to higher yields. Artificial intelligence and machine learning have added a new dimension to the area of weather forecasting, requiring only a few perplexing mathematical equations. This study examines a variety of traditional strategies, ranging from classical weather forecasting to modern methodology such as data mining and artificial intelligence. This research also shows a proposed model that predicts with high accuracy and can be used in various time series forecasting applications.