Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques

This research studies a method to classify the tomatoes' maturity by using deep transfer learning techniques. We carry out sorting systems adopting three pre-trained convolutional neural networks of VGG16, VGG19, and ResNet101. The experimental results show that the VGG19 model obtains a high precision on both the train set and the test set.