Segmentation and Identification of Mediterranean Plant Species

Author:

Kaur Parminder,Gigante Daniela,Caccianiga Marco,Bagella Simonetta,Angiolini Claudia,Garabini Manolo,Angelini Franco,Remagnino Paolo

Publisher

Springer Nature Switzerland

Reference26 articles.

1. Angelini, F., et al.: Robotic monitoring of habitats: the natural intelligence approach. IEEE Access (2023)

2. Arya, S., Sandhu, K.S., Singh, J., Kumar, S.: Deep learning: as the new frontier in high-throughput plant phenotyping. Euphytica 218(4), 47 (2022)

3. Deng, R., et al.: Segment anything model (SAM) for digital pathology: assess zero-shot segmentation on whole slide imaging. arXiv preprint arXiv:2304.04155 (2023)

4. Dosovitskiy, A., et al.: An image is worth $$16 \times 16$$ words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)

5. Goëau, H., Bonnet, P., Joly, A.: Overview of plantCLEF 2022: image-based plant identification at global scale. In: CLEF 2022-Conference and Labs of the Evaluation Forum, vol. 3180, pp. 1916–1928 (2022)

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