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What is Fruit Production Forecasting Methods about?

This document presents a novel approach for predicting agricultural fruit production using deep neural networks. The authors analyzed fruit production data from Pakistan and implemented 3 deep learning methods to predict future output. The Bayesian regularization backpropagation method achieved the highest accuracy rate of 76.3%.

Author

LC

Language

EN