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Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques
Journal
IOP Conference Series: Materials Science and Engineering
ISSN
1757-8981
1757-899X
Date Issued
2021
Author(s)
Danh Phuoc Huynh
My Van Vo
Nghin Van Dang
Tri Quoc Truong
DOI
10.1088/1757-899X/1109/1/012058
Abstract
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
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
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