Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

Objective Human error estimating food intake is a major source of bias in nutrition research.
Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates …

The limited nutritional information provided by external food representations has constrained
the further development of food nutrition estimation. Near-infrared hyperspectral imaging …

Global food systems confront the urgent challenge of supplying sustainable, nutritious diets
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …

The monitoring of food intake plays a key role in avoiding different health problems such as
diseases, but also difficulties linked with mental and physical wellbeing. Food monitoring …

A reasonable and balanced diet is essential for maintaining good health. With
advancements in deep learning, an automated nutrition estimation method based on food …

Food image recognition has recently been given considerable attention in the multimedia
field in light of its possible implications on health. The characteristics of the dispersed …

Food is foundational to human life, serving not only as a source of nourishment but also as a
cornerstone of cultural identity and social interaction. As the complexity of global dietary …

RGB-D food nutrition assessment entails the direct prediction of nutritional content in pairs of
RGB and depth food images using signal processing technology. However, existing …

Nutrition estimation is crucial for effective dietary management and overall health and well-
being. Existing methods often struggle with sub-optimal accuracy and can be time …