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Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
Khalid El Amraoui1, Mouataz Lghoul1, Ayoub Ezzaki1
1LCS Laboratory, Physics Dept. faculty of science, Mohammed 5 university in Rabat, 4 ibn Battouta Street, Rabat, Morocco.
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.
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