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| Analyzing Types of Cherry Using Deep Learning |
Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Mohammed Elkahlout, Mohammed O. Al-Shawwa, Samy S. Abu-Naser
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Abstract:
A cherry is the fruit of many plants of the genus Prunus, and is a fleshy drupe (stone fruit), Michigan's Northwest Lower Peninsula is the largest producer of tart cherries in the United States. In fact, grow 75% of the country's variety of mighty Montmorency cherries. We use these Ruby Red Morsels of Joy in over 200 cherry products like Salsas, Chocolate Covered Cherries, Cherry Nut Mixes, and much more. Cherry fruits are rich in vitamins and minerals, and it is one of the natural sources that can supply the body with abundant amounts of potassium and energy. There are two types of sour cherries, sour or tart, with a little acidity, and the red cherries have a blackish color. Cherry blossoms are very beautiful and in Japan cherry trees are celebrated in bloom. In this paper, machine learning based approach is presented for identifying type Cherry with a dataset that contains 7,002 images use 3,444 images for training, 2,410 images for validation and 1,148 images for testing. A deep learning technique that extensively applied to image recognition was used. 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach.
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