Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques

Autor: Danh Phuoc Huynh, My Van Vo, Tri Quoc Truong, Nghin Van Dang
Rok vydání: 2021
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 1109:012058
ISSN: 1757-899X
1757-8981
DOI: 10.1088/1757-899x/1109/1/012058
Popis: 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.
Databáze: OpenAIRE