Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification

Unmanned aerial vehicles (UAVs) with on-board cameras have the advantage of providing Bird-view images (Aerial images). This type of image is considered as a rich source of information especially for intelligent agriculture. A dataset of 984 aerial images of avocado threes is made publicly available...

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Detalles Bibliográficos
Autores principales: EL Amraoui, Khalid, Lghoul, Mouataz, Ezzaki, Ayoub, Masmoudi, Lhoussaine, Hadri, Majid, Elbelrhiti, Hicham, Simo, Aziz Abdou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679751/
https://www.ncbi.nlm.nih.gov/pubmed/36426034
http://dx.doi.org/10.1016/j.dib.2022.108738
Descripción
Sumario:Unmanned aerial vehicles (UAVs) with on-board cameras have the advantage of providing Bird-view images (Aerial images). This type of image is considered as a rich source of information especially for intelligent agriculture. A dataset of 984 aerial images of avocado threes is made publicly available with a ground resolution of 2.7 cm per pixel. It has been collected from over 113 Hectares of an avocado farm in ALLAL TAZI region of Morocco using a DJI Phantom 4 Pro UAV. It comprises original bird view and annotated images. The dataset is available at https://data.mendeley.com/datasets/tvhh83r3hj/2

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