Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
Khalid El Amraoui, Mouataz Lghoul, Ayoub Ezzaki, Lhoussaine Masmoudi, Majid Hadri, Hicham Elbelrhiti, Aziz Abdou Simo
Abstract
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.
Topics & Concepts
Computer scienceSegmentationAerial imageArtificial intelligencePixelComputer visionAgriculturePrecision agricultureAerial surveyRemote sensingCartographyGeographyImage (mathematics)ArchaeologySmart Agriculture and AIRemote Sensing in AgricultureDate Palm Research Studies