You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Feature Papers represent the most advanced research with significant potential for high impact in the field. Feature Papers are submitted upon individual invitation or recommendation by the scientific editors and undergo peer review prior to publication.

The Feature Paper can be either an original research article, a substantial novel research study that often involves several techniques or approaches, or a comprehensive review paper with concise and precise updates on the latest progress in the field that systematically reviews the most exciting advances in scientific literature. This type of paper provides an outlook on future directions of research or possible applications.

Editor鈥檚 Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Find support for a specific problem in the support section of our website.

Please let us know what you think of our products and services.

Visit our dedicated information section to learn more about MDPI.

Gibril, M.B.A.; Shafri, H.Z.M.; Al-Ruzouq, R.; Shanableh, A.; Nahas, F.; Al Mansoori, S. Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers. Drones 2023, 7, 93. https://doi.org/10.3390/drones7020093

Gibril MBA, Shafri HZM, Al-Ruzouq R, Shanableh A, Nahas F, Al Mansoori S. Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers. Drones. 2023; 7(2):93. https://doi.org/10.3390/drones7020093

Gibril, Mohamed Barakat A., Helmi Zulhaidi Mohd Shafri, Rami Al-Ruzouq, Abdallah Shanableh, Faten Nahas, and Saeed Al Mansoori. 2023. "Large-Scale Date Palm Tree Segmentation from Multiscale UAV-Based and Aerial Images Using Deep Vision Transformers" Drones 7, no. 2: 93. https://doi.org/10.3390/drones7020093