FRUIT IDENTIFICATION SYSTEM FOR VITAMIN DETERMINATION

Abstract

Recently, the advancement of the information technology business, specifically the field of deep learning, has created a variety of reality values. Among them, image processing for fruit identification and classification is an interesting application of computer vision for industry and agriculture. In addition to this achievement, categorizing fruits presents several difficulties due to the similarity in shape, color, and size as well as the variety of each nation. This project builds a fruit identification system to output the vitamin content in 100g. Works on both Android and iOS.