Classification of rice leaf diseases using artificial neural network

Abstract Rice is one of the important food crops for humans. The yield this crop affected by several factors, them climate change. irregularities can cause were infected various diseases. By knowing diseases through its unusual characteristics, fast remedial actions could be expected. purpose essay to find best artificial neural network (ANN) architecture in classifying brown spot and leaf smut on rice crops, two common types attack plant, based images. Two features images i.e. shape color extracted classify both result research demonstrated ANN with 4 neurons input layer, 5 single hidden neuron output layer. This has accuracy as much 66.3 percent.