The paper entitled “Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning”, authored by C. Chaschatzis, C. Karaiskou, E. Mouratidis, E. Karagiannis, and P. Sarigiannidis, was chosen for the cover of the forthcoming issue (Drones, Volume 6, Issue 1 January 2022)

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  • The paper entitled “Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning”, authored by C. Chaschatzis, C. Karaiskou, E. Mouratidis, E. Karagiannis, and P. Sarigiannidis, was chosen for the cover of the forthcoming issue (Drones, Volume 6, Issue 1 January 2022)

The paper entitled “Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning”, authored by C. Chaschatzis, C. Karaiskou, E. Mouratidis, E. Karagiannis, and P. Sarigiannidis, was chosen for the cover of the forthcoming issue (Drones, Volume 6, Issue 1 January 2022)

The paper entitled “Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning”, authored by C. Chaschatzis, C. Karaiskou, E. Mouratidis, E. Karagiannis, and P. Sarigiannidis, was chosen for the cover of the forthcoming issue (Drones, Volume 6, Issue 1 January 2022). The paper aims to provide solutions towards protecting perennial fruit crops by utilizing machine learning algorithms (Yolov5). The research was co-funded by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship, and Innovation, grant number T1EDK-04759.

Drones, Volume 6, Issue 1 (January 2022).

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