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Image dataset of important grape varieties in the commercial and consumer market

This work presents a primary dataset collected from various geographic locations in Iraq for the seedlings of eight varieties of grapes that are used for local consumption and export. Grape types included in the dataset are: deas al-annz, kamali, halawani, thompson seedless, aswud balad, riasi, frin...

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Autores principales: Al-khazraji, Lafta R., Mohammed, Mohammed Abdallazez, Abd, Dhafar Hamed, Khan, Wasiq, Khan, Bilal, Hussain, Abir Jaafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905931/
https://www.ncbi.nlm.nih.gov/pubmed/36761406
http://dx.doi.org/10.1016/j.dib.2023.108906
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author Al-khazraji, Lafta R.
Mohammed, Mohammed Abdallazez
Abd, Dhafar Hamed
Khan, Wasiq
Khan, Bilal
Hussain, Abir Jaafar
author_facet Al-khazraji, Lafta R.
Mohammed, Mohammed Abdallazez
Abd, Dhafar Hamed
Khan, Wasiq
Khan, Bilal
Hussain, Abir Jaafar
author_sort Al-khazraji, Lafta R.
collection PubMed
description This work presents a primary dataset collected from various geographic locations in Iraq for the seedlings of eight varieties of grapes that are used for local consumption and export. Grape types included in the dataset are: deas al-annz, kamali, halawani, thompson seedless, aswud balad, riasi, frinsi, shdah. Leaves of each type of the seasoned fruit were photographed with high resolution device. A total of 8000 images (i.e., 1000 images per category) were captured using random sampling approach while maintaining the balance and diversity within grape image data. The proposed dataset is of significant potential impact and usefulness with features including (but not limited to) 8 varieties, that have different tastes and can support various industry in agriculture and food manufactures.
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spelling pubmed-99059312023-02-08 Image dataset of important grape varieties in the commercial and consumer market Al-khazraji, Lafta R. Mohammed, Mohammed Abdallazez Abd, Dhafar Hamed Khan, Wasiq Khan, Bilal Hussain, Abir Jaafar Data Brief Data Article This work presents a primary dataset collected from various geographic locations in Iraq for the seedlings of eight varieties of grapes that are used for local consumption and export. Grape types included in the dataset are: deas al-annz, kamali, halawani, thompson seedless, aswud balad, riasi, frinsi, shdah. Leaves of each type of the seasoned fruit were photographed with high resolution device. A total of 8000 images (i.e., 1000 images per category) were captured using random sampling approach while maintaining the balance and diversity within grape image data. The proposed dataset is of significant potential impact and usefulness with features including (but not limited to) 8 varieties, that have different tastes and can support various industry in agriculture and food manufactures. Elsevier 2023-01-20 /pmc/articles/PMC9905931/ /pubmed/36761406 http://dx.doi.org/10.1016/j.dib.2023.108906 Text en © 2023 The Authors. Published by Elsevier Inc. 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
Al-khazraji, Lafta R.
Mohammed, Mohammed Abdallazez
Abd, Dhafar Hamed
Khan, Wasiq
Khan, Bilal
Hussain, Abir Jaafar
Image dataset of important grape varieties in the commercial and consumer market
title Image dataset of important grape varieties in the commercial and consumer market
title_full Image dataset of important grape varieties in the commercial and consumer market
title_fullStr Image dataset of important grape varieties in the commercial and consumer market
title_full_unstemmed Image dataset of important grape varieties in the commercial and consumer market
title_short Image dataset of important grape varieties in the commercial and consumer market
title_sort image dataset of important grape varieties in the commercial and consumer market
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905931/
https://www.ncbi.nlm.nih.gov/pubmed/36761406
http://dx.doi.org/10.1016/j.dib.2023.108906
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