Carlos S. Pereira
From IEETA
| Subject | Deep learning techniques for grapevine variety classification using natural images |  |
|---|---|---|
| Advisor | Manuel J. C. S. Reis, Raul Morais | |
| Group | Information Systems and Processing | |
| Status | PhD student | |
| Starts | 2013/05/01 | |
| Ends | 2020/06/03 | |
| Country | Portugal | |
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Contents |
Publications
Articles in international journals listed in the ISI
- Carlos S. Pereira, Raul Morais, Manuel J. C. S. Reis. Deep Learning Techniques for Grape Plant Species Identification in Natural Images. Sensors, vol. 19, no. 22, p. 22pp, November 2019 [IF 2019: 3.275 (Q1, 15/64)] [IF 2018: 3.031 (Q1, 15/61)]
Articles in conference proceedings
- Carlos S. Pereira, Raul Morais, Manuel J. C. S. Reis. Pixel-based leaf segmentation from natural vineyard images using color model and threshold techniques. 15th International Conference on Image Analysis and Recognition (ICIAR 2018), Póvoa de Varzim, Portugal, p. 96–106, June 2018
PhD thesis
- Carlos S. Pereira. Deep learning techniques for grapevine variety classification using natural images. PhD Thesis, Universidade de Trás-os-Montes e Alto Douro, June 2020