Abstract:
Bell pepper is an important food crop, Bell pepper has a uniform shape with size and color. With a shiny appearance and green color in a pre-maturing stage but can turn red, golden, purple, orange or brown upon ripening, the flavor can be sweet, mild, or very tart. Several recent studies have shown many health benefits of Bell pepper. It is an excellent source of dietary fiber, and vitamin C which is necessary for growth and repair of body tissue, as well as for the formation of collagen, a protein used for skin regeneration and the creation of blood vessels. Vitamin C is also needed for cartilage, bones, and teeth .In this paper, machine learning based approach is presented for identifying type of Bell pepper with a dataset that contains 2368 images. We used 1243 images for training 533 images for validation and 592 images for testing.Our trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach
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