Can information costs affect consumer choice? Nutritional labels in a supermarket experiment [PDF]
Kristin Kiesel+1 more
openalex +1 more source
Front-of-package nutrition labelling policy: global progress and future directions
Rebecca Kanter+2 more
semanticscholar +1 more source
MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake [PDF]
Accurate estimation of meal macronutrient composition is a pre-perquisite for precision nutrition, metabolic health monitoring, and glycemic management. Traditional dietary assessment methods, such as self-reported food logs or diet recalls are time-intensive and prone to inaccuracies and biases. Several existing AI-driven frameworks are data intensive.
arxiv
Effect of 15n-labeled hairy vetch and nitrogen fertilization on maize nutrition and yield under no-tillage¹ [PDF]
José Alan de Almeida Acosta+5 more
openalex +1 more source
Labelling of Minimum Durability and Nutritional Components for Miso
Hiroko Fujinami
openalex +2 more sources
The production of intrinsically labeled milk and meat protein is feasible and provides functional tools for human nutrition research [PDF]
Bart Pennings+5 more
openalex +1 more source
Consumer Awareness of Nutrition Labelling in Restaurants according to Level of Health Consciousness [PDF]
Jina H. Yoo, Hee-Sun Jeong
openalex +1 more source
Micronutrients supplementation and nutritional status in cognitively impaired elderly persons: a two-month open label pilot study [PDF]
Christine A. F. Von Arnim+5 more
openalex +1 more source