Determining the freshness of fruits with deep learning methods

As it is known, deep learning technology is used in many areas such as face recognition, voice recognition, the security sector, defense industry. Deep learning, which consists of many layers, is a branch of machine learning. With deep learning, it is possible to predict the outputs by giving a dataset to the model. Today, fruit freshness is one of the important health, environmental and economic problems. Three fruits were selected in this study; Studies have been done on apples, oranges, and bananas. In the study, two models were developed based on VGG16 and two models were developed based on VGG19. These developed models were tested on the data sets of the three fruit types at hand, and it was determined which one could get the best results, and the models were compared with each other.