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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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
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author EL Amraoui, Khalid
Lghoul, Mouataz
Ezzaki, Ayoub
Masmoudi, Lhoussaine
Hadri, Majid
Elbelrhiti, Hicham
Simo, Aziz Abdou
author_facet EL Amraoui, Khalid
Lghoul, Mouataz
Ezzaki, Ayoub
Masmoudi, Lhoussaine
Hadri, Majid
Elbelrhiti, Hicham
Simo, Aziz Abdou
author_sort EL Amraoui, Khalid
collection PubMed
description 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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spelling pubmed-96797512022-11-23 Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification EL Amraoui, Khalid Lghoul, Mouataz Ezzaki, Ayoub Masmoudi, Lhoussaine Hadri, Majid Elbelrhiti, Hicham Simo, Aziz Abdou Data Brief Data Article 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 Elsevier 2022-11-09 /pmc/articles/PMC9679751/ /pubmed/36426034 http://dx.doi.org/10.1016/j.dib.2022.108738 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
EL Amraoui, Khalid
Lghoul, Mouataz
Ezzaki, Ayoub
Masmoudi, Lhoussaine
Hadri, Majid
Elbelrhiti, Hicham
Simo, Aziz Abdou
Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title_full Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title_fullStr Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title_full_unstemmed Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title_short Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification
title_sort avo-airdb: an avocado uav database for agricultural image segmentation and classification
topic Data Article
url 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
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