In Data in brief
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.
Al-Khazraji Lafta R, Mohammed Mohammed Abdallazez, Abd Dhafar Hamed, Khan Wasiq, Khan Bilal, Hussain Abir Jaafar
2023-Apr
Classification, Cultivation, Deep learning, “Grapes type”, Pattern recognition
