Food density estimation using fuzzy logic inference

@article{Li2010FoodDE,
  title={Food density estimation using fuzzy logic inference},
  author={Chengliu Li and John D. Fernstrom and Robert J. Sclabassi and Madelyn H. Fernstrom and Wenyan Jia and Mingui Sun},
  journal={Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC)},
  year={2010},
  pages={1-2}
}
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%. 

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