Application of Deep Learning in Classification of Rose Apple Species and Their Qualities

This paper presented a method for classification of rose apples by applying deep learning algorithm. The deep learning was utilized in order to modeled the system for the analysis. The samples of rose apples that were used as an input for the system were based on their pictures. In order to create a deep learning model, Keras library with python language was used in this work. The great way to organize and manage the system was to collect as many samples as possible to increase the accuracy. Afterward, the database would be created to use for classifying the rose apples. The classification system in the work was set so that the accuracy was acceptable. As a result, the experiment showed that the system could produce an accuracy of 84.41% high. This simply concluded that the system performed at a high standard in the application for rose apple classification.