Prediction the Rice’s Yield per acre using Backpropagation Algorithm

Abstract

Nowadays, Neural Network technologies are applied in many fields. Neural Networks (NN) rely on the inner structure of available data sets rather than on comprehension of the modeled processes between inputs and outputs. Therefore, neural networks have been regarded as highly empirical models with limited extrapolation capability to situations outside the range of the training and validation data sets. This paper introduces the predict yield in describe field with neural network using backpropagation algorithm. This system is intended to compare the yield using training weights on all fields and the yield using training weights on each field.