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

Al-khazraji, LR, Mohammed, MA, Abd, DH, Khan, W, Khan, B and Hussain, AJ (2023) Image dataset of important grape varieties in the commercial and consumer market. Data in Brief, 47. ISSN 2352-3409

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Open Access URL: https://doi.org/10.1016/j.dib.2023.108906 (Published version)

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Classification; Cultivation; Deep learning; Grape's type; Pattern recognition
Subjects: H Social Sciences > HF Commerce > HF5001 Business
H Social Sciences > HF Commerce > HF5001 Business > HF5410 Marketing. Distribution of Products
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science & Mathematics
Publisher: Elsevier
SWORD Depositor: A Symplectic
Date Deposited: 02 Mar 2023 12:36
Last Modified: 02 Mar 2023 12:45
DOI or ID number: 10.1016/j.dib.2023.108906
URI: https://researchonline.ljmu.ac.uk/id/eprint/19003
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