Apple adulteration detection and quality sorting

Abstract

In the pyramid of human necessities, food reigns high. Therefore, reliable adulteration detection and quality identification of any type of food not only keeps the fraudulent business practitioners in check but also ensures good quality food is being produced and consumed for one’s hard earned capital. Unlike disaster detection kits such as gas leakage or fire detection - here accuracy needs to be prioritized over speed as one’s long term health is concerned. In this project, we narrowed down our focus to just apples as it is the most consumed fruit in the world and we will be making our own dataset for improved accuracy and robustness. We have developed a medium sized portable box that can detect apple adulteration and quality - which, thanks to our inhouse dataset, can be expanded upon for industrial use.