Researchers develop new AI-based strategy to assess beef freshness
Apr 1 2021
Scientists at Gwangju Institute of Science and Technology, Korea, combine an inexpensive spectroscopy technique with artificial intelligence to develop a new way of assessing the freshness of beef samples. Their method is remarkably quicker and more cost-effective than conventional approaches while maintaining a relatively high accuracy, paving the way for mass-produced devices to identify spoiled meat both in the industry and at home.
Image Credit: Gwangju Institute of Science and Technology
Although beef is one of the most consumed foods around the world, eating it when it s past its prime is not only unsavory, but also poses some serious health risks. Unfortunately, available methods to check for beef freshness have various disadvantages that keep them from being useful to the public. For example, chemical analysis or microbial population evaluations take too much time and require the skills of
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IMAGE: Consuming spoiled beef is dangerous, but there are currently no simple and efficient methods to assess beef freshness. view more
Credit: Unsplash
Although beef is one of the most consumed foods around the world, eating it when it s past its prime is not only unsavory, but also poses some serious health risks. Unfortunately, available methods to check for beef freshness have various disadvantages that keep them from being useful to the public. For example, chemical analysis or microbial population evaluations take too much time and require the skills of a professional. On the other hand, non-destructive approaches based on near-infrared spectroscopy require expensive and sophisticated equipment. Could artificial intelligence be the key to a more cost-effective way to assess the freshness of beef?