Mobile Phone Detects Rice Fraud

  • Author: ChemistryViews.org
  • Published: 28 December 2019
  • Copyright: Wiley-VCH Verlag GmbH & Co. KGaA
  • Source / Publisher: Food Control/Elsevier
thumbnail image: Mobile Phone Detects Rice Fraud

In Europe, the most common fraud with rice is selling low-quality rice as if it were of high quality. In other places plastic is added to grains in quantities undetectable by the consumer until it is cooked.

José S. Torrecilla, Universidad Complutense de Madrid, Spain, and colleagues have developed an algorithm based on deep learning that allows detecting irregularities in the labeling of rice with a photo taken with a smartphone. The team took more than 27,000 images (samples) of five different types of rice (Oryza sativa L.) to design and validate the deep learning-based system. The rice was ground to distinguish the type of rice not only when it is in grain form but also when it is ground into flour.

According to the researchers, the result is an algorithm based on convolutional neural networks which is capable of detecting and classifying all five rice types accurately. The team said that they obtain final precision models between 93 and 99 %. Compared to other detection methods, this technique is simple and cheap. And according to the researchers, the technology can be extrapolated to other types of cereals or food.


 

 



 

Article Views: 1074

Sign in Area

Please sign in below

Additional Sign In options

Please note that to comment on an article you must be registered and logged in.
Registration is for free, you may already be registered to receive, e.g., the newsletter. When you register on this website, please ensure you view our terms and conditions. All comments are subject to moderation.

Article Comments - To add a comment please sign in

Bookmark and Share

If you would like to reuse any content, in print or online, from ChemistryViews.org, please contact us first for permission. more


CONNECT:

ChemistryViews.org on Facebook

ChemistryViews.org on Twitter ChemistryViews.org on YouTube ChemistryViews.org on LinkedIn Sign up for our free newsletter


A product of ChemPubSoc Europe (16 European Chemical Societies)published by Wiley-VCH