AIMC Topic: Food Labeling
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Preventing mislabeling of organic white button mushrooms (Agaricus bisporus) combining NMR-based foodomics, statistical, and machine learning approach.
Food research international (Ottawa, Ont.)
Nov 19, 2024
Organic foods are among the most susceptible to fraud and mislabeling since the differentiation between organic and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiation model that combines nucl...
Innovative AI methods for monitoring front-of-package information: A case study on infant foods.
PloS one
May 16, 2024
Front-of-package (FOP) is one of the most direct communication channels connecting manufacturers and consumers, as it displays crucial information such as certification, nutrition, and health. Traditional methods for obtaining information from FOPs o...
Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.
Journal of medical Internet research
Apr 12, 2023
BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals. Food labels provide consumers with information regarding the nutritional conte...
An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford.
Nutrients
Nov 18, 2021
Deep learning models can recognize the food item in an image and derive their nutrition information, including calories, macronutrients (carbohydrates, fats, and proteins), and micronutrients (vitamins and minerals). This technology has yet to be imp...
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.
Nutrients
Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Cross-sectional survey of the amount of free sugars and calories in carbonated sugar-sweetened beverages on sale in the UK.
BMJ open
Nov 15, 2016
OBJECTIVES: To investigate the free sugars and calorie content of carbonated sugar-sweetened beverages (CSSB) available in the main UK supermarkets.
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