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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Bibliographic Details
Published inData in brief Vol. 45; p. 108738
Main Authors EL Amraoui, Khalid, Lghoul, Mouataz, Ezzaki, Ayoub, Masmoudi, Lhoussaine, Hadri, Majid, Elbelrhiti, Hicham, Simo, Aziz Abdou
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.12.2022
Elsevier
Subjects
Avocado
Data
Dataset
Digital agriculture
Unmanned aerial vehicles
Avocado
Unmanned aerial vehicles
Dataset
Digital agriculture
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Summary: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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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2022.108738