Adulteration of Food Ingredient Detection Using Deep Learning

Abstract

Every living thing on the planet requires food as a basic necessity. Food contains a range of nutrients, including carbohydrates, fats, minerals, and vitamins. All substances aid in the human being’s ability to live in the world healthily. Adulteration of food ingredients is a phenomenon prevalent today. To make the food supplies last for a long period and maintain freshness, merchants add several dangerous chemicals. Adulteration is the addition of undesired chemicals, the use of illegal medicines in food and other products, as well as the removal of nutrients from the original food substances. Food adulteration is defined as the deliberate lowering of food quality through the addition or substitution of a useful but inferior ingredient. Adulterated food is unclean, dangerous, and can cause major health issues. In this paper image processing techniques and deep learning methods are explained to find out the chemicals present.