FoodProX uses machine learning to detect ultra-processed food
• Almost three quarters (73%) of food eaten in the US is ultra-processed. Consumption of large quantities of this industrial food which is full of additives can lead to several health problems.
• There are many tools to help consumers distinguish between healthy and unhealthy foods, but to date they have not been good at identifying foods that are heavily processed.
• Now a research team has presented a new algorithm trained on nutritional databases, FoodProX, which can automatically determine the level of processing in any food product.
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• There are many tools to help consumers distinguish between healthy and unhealthy foods, but to date they have not been good at identifying foods that are heavily processed.
• Now a research team has presented a new algorithm trained on nutritional databases, FoodProX, which can automatically determine the level of processing in any food product.
Impact of the use of a digital teleworking solution on greenhouse gas emissions: case study of the Orange Atalante site in Rennes
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