Publication:
Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques
Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques
| datacite.subject.fos | oecd::Engineering and technology | |
| dc.contributor.author | Danh Phuoc Huynh | |
| dc.contributor.author | My Van Vo | |
| dc.contributor.author | Nghin Van Dang | |
| dc.contributor.author | Tri Quoc Truong | |
| dc.date.accessioned | 2022-11-03T08:34:12Z | |
| dc.date.available | 2022-11-03T08:34:12Z | |
| dc.date.issued | 2021 | |
| dc.description.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 | |
| dc.identifier.doi | 10.1088/1757-899X/1109/1/012058 | |
| dc.identifier.uri | http://repository.vlu.edu.vn:443/handle/123456789/819 | |
| dc.language.iso | en_US | |
| dc.relation.ispartof | IOP Conference Series: Materials Science and Engineering | |
| dc.relation.issn | 1757-8981 | |
| dc.relation.issn | 1757-899X | |
| dc.title | Classifying maturity of cherry tomatoes using Deep Transfer Learning techniques | |
| dc.type | journal-article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | |
| oaire.citation.volume | 1109 |