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What is Journal Pone 0275702 about?

This research article evaluates the effectiveness of various statistical and machine learning models, including Recurrent Neural Networks (RNN), for forecasting banana prices in Gujarat, India. The study finds that RNN outperforms traditional models like ARIMA and ANN in terms of predictive accuracy, utilizing data from January 2009 to December 2019. The results suggest that machine learning approaches, particularly RNN, provide more reliable price predictions for horticultural commodities.

Author

massariolsuela97

Language

EN