International Journal of Academic Engineering Research (IJAER)   Year: 2022 | Volume: 6 | Issue: 1 | Page No.: 24-31 Classification of pepper Using Deep Learning Download PDF Mohammed A. Aish, Samy S. Abu-Naser, Tanseem N. Abu-Jamie Abstract: This article presents a content-based image classification system to monitor the ripeness process of bell pepper via investigating and classifying the different maturity stages. Bell pepper is an important food crop, Bell pepper has a uniform shape with size and color, and 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 the 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. Datasets of total 2368 images were used for both training and testing datasets. A deep learning technique that was extensively applied to image recognition was used. 70% from image for training and 15% from image for validation 15 % for testing. Our trained model achieved an accuracy of 100% on a held-out test set.