Ensuring a safe and adequate food supply is a cornerstone of human health and food security. However, a significant portion of the food produced for human consumption is wasted annually on a global scale.
Shraddha Karanth+3 more
semanticscholar +1 more source
The SLED (Shelf Life Expiration Date) Tracking System: Using Machine Learning Algorithms to Combat Food Waste and Food Borne Illnesses [PDF]
The issue of food waste is a major problem contributing to the emission of greenhouse gases into the environment in addition to causing illness in humans. This research aimed to develop a correlation between the amount of time until a food spoiled and dates on food labels in conjunction with sensory observations.
arxiv
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]
Food authenticity studies are concerned with determining if food samples have been correctly labeled or not. Discriminant analysis methods are an integral part of the methodology for food authentication. Motivated by food authenticity applications, a model-based discriminant analysis method that includes variable selection is presented.
arxiv +1 more source
Consumer perceptions of health-related claims with broad conceptual or direct benefit expressions
Health-related claims should be formulated based on scientific evidence. This study clarified the differences in consumer perceptions between broad conceptual (format A) or direct benefit expression (format B) in health-related claim categories: 1 ...
Nanae Tanemura+2 more
doaj
Study of awareness of food labeling among consumers in North-West Russia [PDF]
A survey among the consumers of North-Western region of Russia (St. Petersburg and Leningradskaya oblast) was carried out, to determine awareness and understanding of food labeling, as well as usefulness of various elements of food labeling.
Shamtsyan Mark+13 more
doaj +1 more source
A Large-Scale Benchmark for Food Image Segmentation [PDF]
Food image segmentation is a critical and indispensible task for developing health-related applications such as estimating food calories and nutrients. Existing food image segmentation models are underperforming due to two reasons: (1) there is a lack of high quality food image datasets with fine-grained ingredient labels and pixel-wise location masks -
arxiv
Food Allergy Labeling Laws: International Guidelines for Residents and Travelers
The prevalence of food allergies varies by country, as does each country’s food allergen labeling. While labeling laws may vary by country, most follow the Codex Alimentarius.
Francesca Chang+2 more
semanticscholar +1 more source
The changes of nutrition labeling of packaged food in Hangzhou in China during 2008-2010. [PDF]
OBJECTIVE: To understand the changes of the nutrition labeling of packaged food in China two years after the promulgation of the Regulation for Food Nutrition Labeling, which encourages food manufacturers to identify nutrition labeling.
Shengfeng Wang+11 more
doaj +1 more source
UMDFood: Vision-language models boost food composition compilation [PDF]
Nutrition information is crucial in precision nutrition and the food industry. The current food composition compilation paradigm relies on laborious and experience-dependent methods. However, these methods struggle to keep up with the dynamic consumer market, resulting in delayed and incomplete nutrition data.
arxiv
Identifying Food Labeling Effects on Consumer Behavior
The paper examines a large-scale mandatory food labeling regulation to identify its effects on consumer behavior.
Sebastián Araya+3 more
semanticscholar +1 more source