In this paper, we present an Android App designed to detect damage in tobacco leaves caused by the fungus of blue mold. This mobile application uses a classifier model which was built using a pattern recognition technique known as Artificial Neural Network. For the training and testing stages, a total of 40 images of tobacco leaves were used. The experimentation carried out shows that the developed model has an accuracy higher than 97% and there is no significant difference with a visual analysis carried out by experts in tobacco crop.