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Natural Date Fruit Environment Classification Using CNN
ISSN: 2456 - 4265
Publisher: author
Natural Date Fruit Environment Classification Using CNN
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 3
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: Nisaab Publishers
International Journal Address (IAA):
IAA.ZONE/2456396714265
eISSN
:
2456 - 4265
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Abstract
The date Fruit dataset was created to address the requirements of many applications in the pre- harvesting and harvesting stages. The two most important applications are automatic harvesting and visual yield estimation. The dataset is divided into two subsets and each of them is oriented into one of these two applications. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations to reflect the challenges in natural environments and date Fruit orchards. These variations in images include different angels and scales, different daylight conditions having poor illuminati...
