Author:
Torres C.,Diaz Estrada D.N.,Kresović M.,Robert O.
Publisher
International Society for Horticultural Science (ISHS)
Reference28 articles.
1. Applications of generative adversarial networks (gans): an updated review.;Alqahtani;Arch. Comput. Methods Eng.,2021
2. Antipov, G., Baccouche, M., and Dugelay, J.L. (2017). Face aging with conditional generative adversarial networks. Paper presented at: 2017 IEEE International Conference on Image Processing (ICIP).
3. A low-cost sensorized vehicle for in-field crop phenotyping.;Antonucci;Appl. Sci. (Basel),2023
4. Deep learning: as the new frontier in high-throughput plant phenotyping.;Arya;Euphytica,2022
5. Chen, V., Wu, J., and Luo, J. (2021) Group2 seclegan: Improvement of the cyclegan with segmentation. Tech. rep. (San Diego: University of California), http://noiselab.ucsd.edu/ECE228-2021/projects/report/2Report.pdf (accessed November 1, 2022).