Artificial intelligence in food safety: A decade review and bibliometric analysis
Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
yield, quality, and nutrition, increase safety and traceability while decreasing resource …
The role of artificial intelligence in nutrition research: a sco** review
Artificial intelligence (AI) refers to computer systems doing tasks that usually need human
intelligence. AI is constantly changing and is revolutionizing the healthcare field, including …
intelligence. AI is constantly changing and is revolutionizing the healthcare field, including …
[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications
Although numerous ethical principles and guidelines have been proposed to guide the
development of artificial intelligence (AI) systems, it has proven difficult to translate these …
development of artificial intelligence (AI) systems, it has proven difficult to translate these …
Mobile computer vision-based applications for food recognition and volume and calorific estimation: A systematic review
The growing awareness of the influence of “what we eat” on lifestyle and health has led to
an increase in the use of embedded food analysis and recognition systems. These solutions …
an increase in the use of embedded food analysis and recognition systems. These solutions …
[HTML][HTML] Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current …
The advancement of artificial intelligence (AI) and the significant growth in the use of food
consumption tracking and recommendation-related apps in the app stores have created a …
consumption tracking and recommendation-related apps in the app stores have created a …
Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …
used for assessing food composition and nutritional content often require destructive sample …
Mefood: A large-scale representative benchmark of quotidian foods for the middle east
Automatic food recognition systems have been receiving increasing attention in the research
community with the advancements in inductive learning (eg, classification in computer …
community with the advancements in inductive learning (eg, classification in computer …
An automated image-based dietary assessment system for mediterranean foods
Goal: The modern way of living has significantly influenced the daily diet. The ever-
increasing number of people with obesity, diabetes and cardiovascular diseases stresses …
increasing number of people with obesity, diabetes and cardiovascular diseases stresses …
Global–local feature learning for fine-grained food classification based on Swin Transformer
Separable object parts, such as the head and tail in a bird, are vital for fine-grained visual
classifications. For those objects without separable parts, the classification task relies only …
classifications. For those objects without separable parts, the classification task relies only …