Food density estimation using fuzzy logic inference

This paper presents a novel application of fuzzy logic inference to food density estimation to support research in nutrition science. French fries are taken as an example of this new application. A fuzzy Inference System (FIS) is constructed to estimate the bulk density of French fries under different cooking conditions. Our experimental results show that our density estimation method is accurate with a mean error of 2.2%.